Brief Bio - EDUCATION:
Dr. Fauzia Ahmad received her MS degree in Electrical Engineering in 1996, and Ph.D. degree in Electrical Engineering in 1997, both from the University of Pennsylvania, Philadelphia, PA, USA. Since 2002, she has been with the Center for Advanced Communications, Villanova University, Villanova, PA, where she is currently a Research Professor and the Director of the Radar Imaging Lab. Dr. Ahmad's main research interest is in the areas of array signal processing, radar imaging, waveform design, radar signal processing, compressive sensing, synthetic aperture radar, passive radar, and MIMO radar systems. She has 4 book chapters and over 140 journal articles and peer-reviewed conference papers and has presented several invited talks and tutorials in the aforementioned areas.

Dr. Ahmad is a Senior Member of the IEEE and the International Society of Optics and Photonics (SPIE). She is the chair of the SPIE Compressive Sensing Conference and serves as a technical program committee member for the IEEE Radar Conference and SPIE Radar Sensor Technology Conference. She also serves on the Editorial boards of IET Radar, Sonar, & Navigation Journal and SPIE/IS&T Journal of Electronic Imaging.

Brief Bio - EDUCATION:
Ph.D, Electrical Engineering, Stanford University, CA 2004
M.Sc., Electrical Engineering, Georgia Institute of Technology, Atlanta, GA 1998
B.Sc., Electrical Engineering and Mathematics, King Fahd University, Saudi Arabia 1994

PROFESSIONAL EXPERIENCE:
Associate Professor, King Abdullah U. of Science and Technology, Saudi Arabia 2012 to present
Associate Professor, King Fahd U. of Petroleum and Minerals, Saudi Arabia 2009 to 2012
Assistant Professor, King Fahd U. of Petroleum and Minerals, Saudi Arabia 2005 to 2009
Fulbright Scholar, University of Southern California, CA, 2008
Visiting Researcher, California Institute of technology, CA, 2004-2005

Dr. Al-Naffouri conducts research in the general area of communications and signal processing. His research interests are in 1) adaptive filtering analysis and design, 2) Compressed sensing and its applications, 3) Channel estimation and equalization, 4) Impairment mitigation in OFDM, and 5) Multiuser information theory.

He has published 22 journal papers, including 11 in IEEE TSP or IEEE SP Letters, and over 62 conference papers. He received the best student paper award at the IEEE-EURASIP workshop on nonlinear signal and image processing 2001, and the IEEE Education Society Chapter Achievement Award

I have served as reviewer for quite a number of journals and conferences. This includes
1) Transactions on Signal Processing 2) Signal processing letters 3) Signal Processing 4) Transactions on Communications 5)Transactions on Wireless Communications 6) Transactions on Vehicular Technology 7) Communication letters, 8) Wireless communication letters

Technical committee involvement for 2013
1) ICASSP 2013 (reviewed 6 papers) 2) SPAWC 2013 (TCP member) 3) WCNC 2013 (TCP member) 4) ICCIT 2013 (Chair) 5) EUSIPCO2013 (TCP member)

Dr. Tareq Al-Naffouri will cover the EDICS: SSP-DECT, SSP-PARE, SSP-TRAC, SSP-HOSM, SSO-DECO, SSP-IDEN, SSP-APPL, ASP-ANAL, ASP-FAST, ASP-APPL, MDS-SMOD, MLR-BAYL, SPC-CEST, SPC-BLND, SPC-DECT, SPC-INTF, SPC-SYNC, SPC-MULT, SPC-UWB, SPC-APPL, MSP-CAPC, MSP-STCD, MSP-CEST, MSO-MULT, MSP-APPL

Brief Bio - André L. F. de Almeida (M'08, SM'13) received the B.Sc. and M.Sc. degrees in electrical engineering from the Federal University of Ceará, Brazil, in 2001 and 2003, respectively, and the double Ph.D. degree in Sciences and Teleinformatics Engineering from the University of Nice Sophia-Antipolis, France, and the Federal University of Ceará, Fortaleza, Brazil, in 2007. He is an Assistant Professor with the Department of Teleinformatics Engineering of the Federal University of Ceará. He has been granted Visiting Professor positions with the I3S Laboratory/CNRS and the University of Nice Sophia-Antipolis, respectively (in 2012, 2013, and 2015).

Dr. Almeida has published over 40 refereed journal articles, 90 conference papers and 5 book chapters. He has served in the Technical Program Committees of several IEEE SPS conferences and workshops. He was a Guest Editor for the EURASIP Journal on Advances in Signal Processing, and serves as an Associate Editor for the IEEE Transactions on Signal Processing since 2012. He is an elected member of the IEEE Sensor Array and Multichannel Technical Committee (SAM-TC) and serves as the General Co-Chair for the 7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curaçao, Dutch Antilles, December 10-13, 2017. His current research interests are on tensor signal processing with applications to sensor arrays, cooperative communication systems, and big data analysis.

Dr. Almeida cover the EDICS: SAM-BEAM, SAM-DOAE, SAM-MCHA, SAM-TNSR, SPC-CEST, SPC-DECD, SPC-DETC, SPC-MISG, SPC-SPRS, SSP-PARE, SSP-HOSM, SSP-DECO, SSP-SSEP, SSP-IDEN, OTH-BGDT.

Brief Bio - EDUCATION:
Ph.D, Electrical and Computer Engineering, Carnegie Mellon University, PA, 1996
M.Sc., Electrical and Computer Engineering, Carnegie Mellon University, PA, 1993
B.Sc., Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan, 1990

PROFESSIONAL EXPERIENCE:
Associate Professor/Professor, Computer Science and Engineering , York University, Toronto, ON, Canada, 2002 to present.
Assistant/Associate Professor, Simon Fraser University – Surrey Campus, Surrey, BC, Canada, 1999-2002.
Research Engineer, Electrical and Computer Engineering, Carnegie Mellon University, PA, 1996-1999.

RESEARCH INTERESTS: Dr. Asif conducts research in the general area of statistical signal processing. His current projects include distributed signal processing (decentralized, nonlinear sensor networks), array processing (source detection, estimation, and tracking), MIMO radars, time reversal, multidimensional signal processing, and sparse block-banded matrix technologies.

In the last ten years, Dr. Asif has published 20 journal papers, including 16 in IEEE transactions, (Signal Processing, Image Processing, and GeoScience), 60 conference papers, including 55 in IEEE conferences (ICASSP, GlobeCom, ISIT, and SSP), and 2 books, including the text “Continuous-time and Discrete-time Signals and Systems” published by the Cambridge University Press. Dr. Asif has been the Technical Associate Editor for the IEEE SIGNAL PROCESSING LETTERS (2002–2006 and 2009–2012) and has reviewed papers for ICASSP for the last ten years. He has organized two IEEE conferences on signal-processing theory and applications, and served on the technical committees of several international conferences. He was the recipient of several distinguishing teaching accolades including the York’s University-Wide Teaching Award in 2008. He is a registered Professional Engineer in the province of Ontario.

Dr. Almeida's covered EDICS

Brief Bio - Selin Aviyente received her B.S. degree with high honors in Electrical and Electronics engineering from Bogazici University, Istanbul in 1997. She received her M.S. and Ph.D. degrees, both in Electrical Engineering: Systems, from the University of Michigan, Ann Arbor, in 1999 and 2002, respectively. Currently, she is an associate professor in the Department of Electrical and Computer Engineering at Michigan State University. Her research focuses on statistical signal processing, in particular non-stationary signal analysis, with applications to biological signals. Her most recent work focuses on the study of the dynamic functional networks in the brain using EEG and fMRI. She is the recipient of a 2005 Withrow Teaching Excellence Award and a 2008 NSF CAREER Award. She was the special session organizer for IEEE Statistical Signal Processing (SSP) Workshop in 2012 and the technical area chair for Biomedical Image and Signal Processing for Asilomar Conference in 2014. She is currently an Associate Editor for Journal of Electronic Imaging.

Brief Bio - EDUCATION:
Ph.D, Electrical Engineering, University of Perugia, Perugia, Italy, 1998
Laure Degree, Electrical Engineering, University of Perugia, Perugia, Italy, 1993

PROFESSIONAL EXPERIENCE:
- Associate Professor, Electrical and Computer Engineering, University of Perugia, (2005 - )
- Assistant Professor, Electrical and Computer Engineering, University of Perugia, (1998-2005)
- Visiting Researcher, SpinComm group, lead by Prof. G.B. Giannakis, at the ECE Dept., University of Minnesota, Minneapolis, US (2001-6 months)
- General Co-Chair of the IEEE International Symposium on Signal Processing Advances for Wireless Communications, 2009.
- Member of the SP-COM Technical Committee of the IEEE Signal Processing Society, (2011- ).
- AE for Eurasip Jounal on Advances in Signal Processing (2012 -)
- Co-founder and scientific co-director of ICT4Life (http://www.ict4life.it), a spin-off company of University of Perugia (2010)

RESERACH INTERESTS: Dr. Paolo Banelli mainly conducts research in the general area of communications and signal processing, with emphasis on multicarrier communications, and some interest also in biomedical signal processing, with emphasis on electrocardiography and medical ultrasounds. The broad goals of his research program are: (i) to develop innovative techniques for optimizing the quality and capacity of wireless communication systems in hostile environments such as those impaired by non-linear distortions, impulsive noise, and frequency-selective time-varying channels (ii) to develop innovative techniques for optimal information processing in cognitive wireless and sensor networks and (iii) to develop practical engineering solutions for effective measurement/monitoring of human health conditions. He has published 20 journal papers, 2 books chapters, more than 40 conference papers, and 3 patents.

Dr. Paolo Banelli will mostly cover EDICS on SPC and some EDICS on MLR, MSP, SEL, SSP.

Brief Bio - Adel Belouchrani (S’94, M’96) was born in Algiers, Algeria, on May 5, 1967. He received the State Engineering degree in 1991 from Ecole Nationale Polytechnique (ENP), Algiers, Algeria, the M.S. degree in signal processing from the Institut National Polytechnique de Grenoble (INPG), France, in 1992, and the Ph.D. degree in signal and image processing from Télécom Paris (ENST), France, in 1995. He was a Visiting Scholar at the Electrical Engineering and Computer Sciences Department, University of California, Berkeley, from 1995 to 1996. He was with the Department of Electrical and Computer Engineering, Villanova University, Villanova, PA, as a Research Associate from 1996 to 1997. From 1998 to 2005, he has been with the Electrical Engineering Department of ENP as Associate Professor. He is currently and since 2006 Full Professor at ENP. His research interests are in statistical signal processing, (blind) array signal processing, time-frequency analysis and time-frequency array signal processing with applications in biomedical and communications.

For more details see his homepage at http://perso.enp.edu.dz/~belouchrani.

Brief Bio - Mats Bengtsson (M’00–SM’06) received the M.S. degree in computer science from Linköping University, Linköping, Sweden, in 1991 and the Tech. Lic. and Ph.D. degrees in electrical engineering from the KTH Royal Institute of Technology, Stockholm, Sweden, in 1997 and 2000, respectively.

From 1991 to 1995, he was with Ericsson Telecom AB Karlstad. He currently holds a position as Professor at the Signal Processing department, School of Electrical Engineering, KTH. His research interests include statistical signal processing and optimization theory and its applications to communications, multi-antenna processing, cooperative communication, radio resource management, and propagation channel modelling. Dr. Bengtsson was technical chair for SPAWC 2015, has previously served as Associate Editor for the IEEE Transactions on Signal Processing 2007-2009 and was a member of the IEEE SPCOM Technical Committee 2007-2012.

Brief Bio - Kostas Berberidis (S'87-M'90-SM'07) received the Diploma degree in electrical engineering from DUTH, Greece, in 1985, and the Ph.D. degree in signal processing and communications from the University of Patras, Greece, in 1990. During 1991, he worked at the Signal Processing Laboratory of the National Defense Research Center. From 1992 to 1994 and from 1996 to 1997, he was a researcher at the Computer Technology Institute (CTI), Patras, Greece. In period 1994/95 he was a Postdoctoral Fellow at CCETT/CNET, Rennes, France. Since December 1997, he has been with the Computer Engineering and Informatics Department (CEID), University of Patras, where he is currently a Professor, and Head of the Signal Processing and Communications Laboratory. Also, since 2008, he has been Director of the Signal Processing & Communications Research Unit of the Computer Technology Institute and Press "Diophantus". His research interests include adaptive filtering, distributed processing, signal processing for communications, and wireless sensor networks.

Prof. Berberidis has served or has been serving as a member of scientific and organizing committees of several international conferences, as Associate Editor for the IEEE Transactions on Signal Processing and the IEEE Signal Processing Letters, as a Guest Editor for the EURASIP JASP and as Associate Editor for the EURASIP Journal on Advances in Signal Processing. Also, since February 2010 he has been serving as Chair of the Greece Chapter of the IEEE Signal Processing Society. He is a Member of the Technical Chamber of Greece, a member of EURASIP, and a Senior Member of the IEEE.

Brief Bio - EDUCATION:
Ph.D., Electrical Engineering, University of Southern California, CA, 2002 [Best PhD Thesis paper Award]
M.Sc., Electrical Engineering, University of Southern California, CA, 1999
M.Sc., Physics, University of Valencia, Spain, 1995 [First-in-class Graduation Award]

PROFESSIONAL EXPERIENCE:
- Professor, Information and Communication Technology, Head of Lab Intelligent Signal Processing and Wireless Networks (WISENET), University of Agder, Norway, 2014 - present
- Associate Professor, Electrical & Computer Engineering, University of Valencia, Spain, 2006- 2014
- Research Associate, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, 2003-2005
- Researcher, AT&T Shannon Labs, Florham Park, New Jersey, 2002

RESEARCH INTERESTS: Dr. Baltasar Beferull-Lozano conducts research in these topics: (i) In-network signal processing and intelligence for heterogeneous wireless sensor and communication networks, (ii) signal processing and analytics for multi-sensor data, (iii) multidisciplinary tools and theoretical foundations for fundamental performance analysis and optimal design of signal processing algorithms and cross-layer network protocols. He has coordinated or participated as IP in more than 20 international Projects in these areas, including 10 EU Projects, a Consolider project (top excellence research program in Spain) Project, and he is currently the coordinator or IP in 4 large Research Projects funded by the Research Council of Norway.

He has published 30 journal papers, including 4 in IEEE TSP, 2 IEEE JSTSP, 4 IEEE TIP, 3 IEEE TIT, 2 IEEE TWC, 2 IEEE/ACM ToN in the last 10 years, and over 80 international conference papers.

He has received several Awards, including the Best PhD Thesis paper Award at University of Southern California 2002, the Best Paper Award at the IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS) 2012, and the TOPPFORSK Grant Award from the Research Council of Norway, 2015 (only recipient in the areas of signal processing and communications), Top cross-disciplinary excellence research program for fundamental research in Norway.

Brief Bio - Itsik Bergel (SM11) received the B.Sc. in electrical engineering (Magna cum laude) and the B.Sc. in physics (Magna cum laude) from Ben Gurion University, Beer-Sheva, Israel, in 1993 and 1994, respectively, and the M.Sc. (Summa Cum Laude) and Ph.D.in electrical engineering from the University of Tel Aviv, Tel-Aviv, Israel, in 2000 and 2005 respectively. From 2001 to 2003, he was a Senior Researcher at INTEL Communications Research Lab. In 2005, he was a Postdoctoral researcher at the Dipartimento di Elettronica of Politecnico di Torino, Italy, working on the capacity of non-coherent channels. In 2004 he received the Yitzhak and Chaya Weinstein study award. He is currently a tenured faculty member in the faculty of engineering at Bar-Ilan University, Ramat-Gan, Israel.

Brief Bio - José Carlos M. Bermudez received the B.E.E. degree from the Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil, the M.Sc. degree in electrical engineering from COPPE/UFRJ, and the Ph.D. degree in electrical engineering from Concordia University, Montreal, Canada, in 1978, 1981, and 1985, respectively.

He joined the Department of Electrical Engineering, Federal University of Santa Catarina (UFSC), Florianópolis, Brazil, in 1985. He is a Professor of Electrical Engineering since 1993 and a Senior member of the IEEE since 2002.

Prof. Bermudez conducts research in the general areas of signal processing and statistical signal processing, including linear and nonlinear adaptive filtering, active noise and vibration control, echo cancellation, image processing, and hyperspectral imaging. He has published more than 150 papers, most of them in IEEE journal and conferences. He has served as an Associate Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING in the area of adaptive filtering from 1994 to 1996 and from 1999 to 2001. He has also served as an Associate Editor of the EURASIP Journal of Advances on Signal Processing from 2006 to 2010. He was a member of the Signal Processing Theory and Methods Technical (SPTM) Committee of the IEEE Signal Processing Society from 1998 to 2004, and is again member of the same Committee since January 201.

Brief Bio - Pierre Borgnat is tenure Researcher at CNRS in Signal Processing, at the Laboratoire de Physique, École Normale Supérieure de Lyon (ENSL), France. Born in France in 1974, he was admitted at the ENSL in 1994 and received the grade of Professeur Agrégé in Physical Sciences in 1997, and received from the ENSL a Master degree in Physics in 1998 and a Ph.D. degree in physics and signal processing in 2002 at the ENSL. He worked in 2003 in the Signal and Image Processing group of the IRS, IST (Lisbon, Portugal). Since October 2004, he has been a tenure CNRS researcher. He is deputy director of IXXI (Institute for Complex Systems in Rhône-Alpes). He supervised or co-supervised 5 PhD students, including one receiving the French Best Thesis Award in Signal, Image and Vision in 2015. He received a best paper award at the IEEE CBMS 2013, and the Sisyph team he is a member of received a Del Duca Award of the French Science Academy in 2007. His research interests are in statistical signal processing of non-stationary processes (time-frequency, time warping, test of stationarity, EMD,...), of scaling phenomena (time-scale, wavelets) and in processing of graph signals and complex networks.

He works on several applications of these signal processing methods, among them for networking, Internet traffic modeling and measurements, especially for traffic classification, anomaly identification,..., and on applications for fluid mechanics, for the analysis of social data, or for transportation studies.

Brief Bio - Paolo Braca received the Laurea degree (summa cum laude) in electronic engineering, and the Ph.D. degree (highest rank) in information engineering from the University of Salerno, Italy, in 2006 and 2010, respectively. In 2009, he was a Visiting Scholar with the Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA. In 2010–2011, he was a Postdoctoral Associate with the University of Salerno, Italy.

In 2011, he joined the NATO Science & Technology Organization (STO) Centre for Maritime Research and Experimentation (CMRE) as a Scientist with the Research Department. Dr. Braca conducts research in the general area of statistical signal processing with emphasis on detection and estimation theory, wireless sensor network, multi-agent algorithms, target tracking and data fusion, adaptation and learning over graphs, distributed radar (sonar) processing. He is coauthor of more than 70 publications in international scientific journals and conference proceedings. Dr. Braca serves as an Associate Editor of IEEE Transactions on Aerospace and Electronic Systems, IEEE Signal Processing Magazine (E-Newsletter), the ISIF Journal of Advances in Information Fusion, and the EURASIP Journal on Advances in Signal Processing. He is in the Technical Committee of the major international conferences in the field of signal processing and data fusion. He was the recipient of the Best Student Paper Award (first runner-up) at the 12th Conference on Information Fusion in 2009.

Brief Bio - Gustavo Camps-Valls (M'04, SM'07) received a Ph.D. degree in Physics (2002, summa cum laude) from the Universitat de València. He is currently an Associate Professor in the Department of Electronics Engineering in the Universitat de València, and Head of the Image and Signal Processing (ISP) group, http://isp.uv.es, at the same university. His research interests are tied to the development of machine learning algorithms for signal and image processing with special focus on remote sensing data analysis. He conducts and supervises research within the frameworks of several national and international projects, and he is Evaluator of project proposals and scientific organizations. He is the author (or co-author) of 95 international peer-reviewed journal papers, more than 120 international conference papers, 20 international book chapters, and editor of the books “Kernel methods in bioengineering, signal and image processing” (IGI, 2007), "Kernel methods for remote sensing data analysis" (Wiley & sons, 2009), and "Remote Sensing Image Processing" (MC, 2011). He entered the ISI list of Highly Cited Researchers in 2011. Thomson Reuters ScienceWatch identified one of my papers as a Fast Moving Front research. He is a referee of many international journals and conferences, and has served on the Program Committees of SPIE, IGARSS, ICIP, MLSP and ICASSP. He is member of the Data Fusion technical committee of the IEEE Geoscience and Remote Sensing Society, and of the Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society. He is Associate Editor of the "IEEE Transactions on Signal Processing", "IEEE Signal Processing Letters", "IEEE Geoscience and Remote Sensing Letters", "ISRN Signal Processing Journal", and was Guest Editor of "IEEE Journal of Selected Topics in Signal Processing". Visit http://www.uv.es/gcamps and http://isp.uv.es for more information.

Brief Bio - EDUCATION:
Ph.D., Electrical Engineering, Cornell University, Ithaca, NY, 1988,
M.S., Electrical Engineering, Princeton University, Princeton, NJ, 1982,
B.S., Electrical Engineering, University of Pennsylvania, Philadelphia, PA, 1981.

PROFESSIONAL EXPERIENCE:
Professor, Electrical & Computer Engineering, Rice University, Houston, TX, 2002-Present, Docent, Electrical Engineering, University of Oulu, Oulu, Finland, 2007-Present, Visiting Professor, Electrical Engineering, University of Oulu, Finland, 2005, Associate Professor, Electrical & Computer Engineering, Rice University, 1994-2002, Program Director, Systems Prototyping and Fabrication Program, MIPS Division, CISE Directorate, US National Science Foundation, Arlington, VA, 1996-1997, Assistant Professor, Electrical & Computer Engineering, Rice University, 1988-1994, MTS, Special Business Services Laboratory, AT&T Bell Laboratories, Holmdel, NJ, 1981-1983.

RESEARCH INTERESTS:
Dr. Cavallaro conducts research in the general area of VLSI signal processing for communication systems. The broad goals of his research program are on multiple antenna systems (MIMO), with a focus on baseband signal processing for beyond 4G wireless systems. Current topics include parallel VLSI architectures for iterative detection and decoding, in particular, architectures for soft sphere detection and low density parity check codes (LDPC) and turbo codes, along with massive MIMO systems, relays, and cognitive radios. These high performance receiver algorithms will provide more reliable higher data rate communication systems and are being investigated in over the air testing on the Rice Wireless Open-Access Research Platform (WARP) using FPGA and GPU acceleration.

He has published 50 journal papers, including 4 in IEEE TSP or IEEE JSTSP in the last 3 years, and 150 conference papers. He received many Awards including IEEE Circuits and Systems Society Distinguished Lecturer, 2012-2013; SDR Forum Outstanding Paper Award, (with K. Amiri, C. Dick, R. Rao); 2010, IEEE Great Lakes Symposium on VLSI Best Paper Award, (with Y. Sun), 2009; IEEE International SoC Conference, Best Paper Award, (with Y. Sun), 2008; IEEE Workshop on Signal Processing Systems, (SiPS), Bob Owens Memorial Paper Award, (with Y. Sun), 2008; Nokia Foundation, Visiting Professor Fellowship, 2004-2005; and IEEE Computer Society Distinguished Lecturer, 2004-2005.

Dr. Cavallaro will cover the EDICS: SPC and WIN/NET.

Brief Bio - Tsung-Hui Chang received the B.S. degree in electrical engineering and the Ph.D. degree in communications engineering from the National Tsing Hua University (NTHU), Hsinchu, Taiwan, in 2003 and 2008, respectively. He is currently an Assistant Professor in the School of Science and Engineering, the Chinese University of Hong Kong, Shenzhen (CUHKSZ). From Aug. 2012 to July 2015, he was with the Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology (NTUST), as an Assistant Professor. Before being a faculty, he held research positions with NTHU (2008–2011) and University of California at Davis, CA (2011–2012).

Dr. Chang conducts research in the general area of signal processing and optimization techniques with applications to data communications, smart grid and machine learning problems. He has published 3 book chapters, 29 journal papers, including 17 in IEEE TSP and 1 in IEEE JSTSP, and 45 conference papers.

Brief Bio - I. Vaughan L. Clarkson received a B.Sc. degree in Mathematics and a B.E. (Hons. I) degree in Computer Systems Engineering from The University of Queensland, Australia, in 1989 and 1990, respectively, and a Ph.D. in Systems Engineering from The Australian National University in 1997.

Starting in 1988, he was employed by the Defence Science and Technology Organisation, Australia, first as a Cadet, later as a Professional Officer, and finally as a Research Scientist. From 1998 to 2000, he was a Lecturer at The University of Melbourne, Australia. From 2000 to 2008, he was a Senior Lecturer in the School of Information Technology and Electrical Engineering at The University of Queensland. In 2008, he was promoted to Reader. He was a Visiting Professor at The University of British Columbia, Canada, in 2005 and at the Vienna University of Technology, Austria, in 2012.
He has been serving as General Co-Chair for ICASSP 2015 and is also currently an Associate Editor with IEEE Potentials Magazine.

Brief Bio - Laura Cottatellucci (S’01, M’07) received the PhD in Electrical Engineering and Information Technology Sciences from the Technical University of Vienna, Austria (2006), and the Master degree in Electrical Engineering from La Sapienza University, Rome, Italy (1995). Since December 2006 she is working as assistant professor in the Dept. of Mobile Communications at EURECOM. Prior to joining EURECOM, she was research fellow at University of South Australia, Australia, working on information theory for networks with uncertain topology (Jan.-Nov. 2006) and in INRIA, Sophia Antipolis, France (Oct.-Dec. 2005). From April 2000 to September 2005 she worked as senior research in FTW, Austria, on CDMA, MIMO, and satellite systems. From 1995 until 2000, she worked in Telecom Italia as responsible of industrial projects after specialization in networking at the School for Advanced Studies Guglielmo Reiss Romoli (1996, Italy). She held visiting appointments at EURECOM (France), FAU Erlangen-Nürnberg (Germany), and NTNU Trondheim (Norway).

Cottatellucci is served as guest editor for EURASIP Journal on Wireless Communications and Networking (special issue on cooperative communications) and in the Technical Program Committees of numerous conferences including the flag conferences of the Communications and Signal Processing Societies. Her research interests lie in the field of communications theory and signal processing for wireless communications, satellite and complex networks. Her contributions in these fields are based on the application of mathematical tools such as random matrix theory and game theory. The broad goals of her research program are: (i) to develop innovative techniques for characterizing the capacity of wireless communication systems and optimizing both their channel exploitation and their communication quality; (ii) to develop practical engineering solutions to achieve optimal trade-offs between performance metrics and complexity in wireless transmission, (iii) to develop new large system techniques for analysis and shaping of complex network (graphs) and (iv) to develop detection and estimation techniques on complex networks with practically affordable complexity.
She has published 20 journal papers and more than 60 conference papers.

Brief Bio - Romain Couillet received his MSc in Mobile Communications at the Eurecom Institute and his MSc in Communication Systems in Telecom ParisTech, France in 2007. From 2007 to 2010, he worked with ST-Ericsson as an Algorithm Development Engineer on the Long Term Evolution Advanced project, where he prepared his PhD with Supelec, France, which he graduated in November 2010. He is currently an assistant professor in the Telecommunication department of CentraleSupelec, France. His research topics are in random matrix theory applied to wireless communications, signal processing, and statistics. In 2015, he received the HDR title from University ParisSud. He is the recipient of the 2013 CNRS Bronze Medal in the section "science of information and its interactions", of the 2013 IEEE ComSoc Outstanding Young Researcher Award (EMEA Region), of the 2011 EEA/GdR ISIS/GRETSI best PhD thesis award, and of the Valuetools 2008 best student paper award.

Brief Bio - François Desbouvries received the Engineer Degree in Telecommunications (1987), the Ph.D. degree in Signal and Image Processing (1991), both from Telecom ParisTech, Paris, France; and the Habilitation à Diriger des Recherches (HDR) in Signal Processing from the Marne la Vallée University, France (2001). Since 1991, he has been with Telecom SudParis, where he has been a full Professor in signal processing since 2002. His recent research interests are devoted to the development of Bayesian inference methods in structured probabilistic models such as hidden Markov models and extensions thereof, in the design and methodology of sequential Monte Carlo techniques for single- or multiple-target tracking, with a special emphasis on the tradeoff between computational efforts and statistical performances. He is the author or coauthor of 24 journal papers, including 14 in IEEE journals, and has been an IEEE Senior Member since 2007.

Dr. Desbouvries will cover the EDICS: MLR-BAYL, SSP-DDSP, SSP-TRAC, SSP-FILT, SSP-REST, SSP-HIER, SSP-DETC, SSP-IDEN, SSP-NGAU, SSP-PARE, SSP-SNMD, SSP-SYSM.

Brief Bio - Subhrakanti Dey was born in India, in 1968. He received the B.Tech. and M.Tech. degrees from the Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India, in 1991 and 1993, respectively, and the Ph.D. degree from the Department of Systems Engineering, Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia, in 1996.

Since June 2013, he is a Professor in the Division of Signals and Systems, Dept. of Eng. Sciences, Uppsala University in Sweden. Prior to this, he was with the Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, Australia, since February 2000, where he was a full Professor since 2007. From September 1995 to September 1997 and September 1998 to February 2000, he was a postdoctoral Research Fellow with the Department of Systems Engineering, Australian National University. From September 1997 to September 1998, he was a post-doctoral Research Associate with the Institute for Systems Research, University of Maryland, College Park. His current research interests include networked estimation and control, wireless communications and networks, signal processing for sensor networks, and statistical signal processing. Prof. Dey currently serves on the Editorial Board of Elsevier Systems and Control Letters and IEEE Transactions on Signal Processing. He was also an Associate Editor for the IEEE Transactions on Signal Processing during 2007-2010 and the IEEE Transactions on Automatic Control during 2004-2007. He is a Senior Member of IEEE.

Brief Bio - Aleksandar Dogandzic received the Dipl. Ing. degree (summa cum laude) in Electrical Engineering from the University of Belgrade, Yugoslavia, in 1995, and the M.S. and Ph.D. degrees in electrical engineering and computer science from the University of Illinois at Chicago in 1997 and 2001, respectively.

In August 2001, he joined the Department of Electrical and Computer Engineering, Iowa State University, Ames, where he is currently an Associate Professor. His research interests are in statistical signal processing: theory and applications. Dr. Dogandzic received the 2003 Young Author Best Paper Award and 2004 Signal Processing Magazine Best Paper Award, both by the IEEE Signal Processing Society. In 2006, he received the CAREER Award by the National Science Foundation. Dr. Dogandzic served as a General Co-Chair of the Fourth and Fifth International Workshops on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) in 2011 and 2013 and as a Technical Co-Chair of the 2014 IEEE SAM Signal Processing Workshop. He is also a Technical Co-Chair of the 2016 IEEE SAM Signal Processing Workshop, to be held in Rio de Janeiro.

Brief Bio - Jalal Fadili received the M.Sc. and Ph.D. degrees in signal and image processing from the University of Caen. He was a Research Associate with the University of Cambridge, U.K., 1999-2000 and an Associate Professor Sept. 2001-2011. Since Oct. 2011, he is a Full Professor, and Junior member of Institut Universitaire de France since Oct. 2013. He is also scientific coordinator of a department in his lab, and vice-director of the PhD program in his university. He also holds several other scientific management positions (e.g. national excellence research networks), and serves as an expert of several national and international funding agencies. Since Jan. 2013, he is the director of the french national network on Mathematical Imaging and Applications. He also held several visiting positions at several universities (QUT-Australia, Stanford, CalTech, EPFL-Switzerland, MIT). In the last decade, he has been an invited or plenary speaker at various international events. He is/was associate or guest editor of several journals (namely, the IEEE Journal on Selected Topics in Signal Processing, the SIAM Journal on Imaging Sciences, the Journal of Mathematical Imaging and Vision). He is also part of the scientific or program committees of several major international and national conferences, and he organized many important international events. His research interests include mathematical signal and image processing, inverse problems, variatiational regularization, non-smooth optimization, sparse representations, statistical estimation and detection theory. His areas of application include medical and astronomical imaging.

Brief Bio - Cédric Févotte received the state engineering and PhD degrees in control and computer science from the École Centrale de Nantes, France, in 2000 and 2003, respectively. During his PhD, he was with the Signal Processing Group at the Institut de Recherche en Communication et Cybernétique de Nantes (IRCCyN). From 2003 to 2006, he was a research associate with the Signal Processing Laboratory at the University of Cambridge (Engineering Department). He was then a research engineer with the music editing technology start-up company Mist-Technologies (now Audionamix) in Paris. In 2007, he became a CNRS tenured researcher. He was affiliated with LTCI (CNRS & Télécom ParisTech) from 2007 to 2012. Since 2013, he is with Laboratoire Lagrange (CNRS, Observatoire de la Côte d'Azur & Université de Nice Sophia Antipolis) in Nice, France. His research interests generally concern statistical signal processing and machine learning for inverse problems and source separation.

Brief Bio - Mário A. T. Figueiredo received MSc, PhD, and habilitation degrees in electrical and computer engineering, all from Instituto Superior Técnico (IST), the engineering school of the University of Lisbon, in 1990, 1994, and 2004. He has been with the faculty of the Department of Electrical and Computer Engineering, IST, since 1994, where he is now a Professor. He is also area coordinator and group leader at Instituto de Telecomunicações, a private non-profit research institute. His research interests include signal/image processing and analysis, machine learning, and optimization applied to those areas. Mário Figueiredo is a Fellow of the IEEE and of the IAPR; he received the 1995 Portuguese IBM Scientific Prize, the 2008 UTL/Santander-Totta Scientific Prize, the 2011 IEEE Signal Processing Society Best Paper Award, the 2014 IEEE W. R. G. Baker Award, and several conference best paper awards. His name is included in the Thomson Reuters' Highly Cited Researchers list. He is/was associate editor of several journals (namely, the IEEE Transactions on Image Processing, the IEEE Transactions on Pattern Analysis and Machine Intelligence, the SIAM Journal on Imaging Sciences, the Journal of Mathematical Imaging and Vision) and served as organizer or program committee member of many international conferences. He was a member of the Image, Video, and Multidimensional Signal Processing Technical Committee and is currently a member of the Machine Learning for Signal Processing Technical Committee, both of the IEEE Signal Processing Society.

Brief Bio - Pascal Frossard (S96,M01,SM04) received the M.S. and Ph.D. degrees, both in electrical engineering, from the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, in 1997 and 2000, respectively. Between 2001 and 2003, he was a member of the research staff at the IBM T. J. Watson Research Center, Yorktown Heights, NY, where he worked on media coding and streaming technologies. Since 2003, he has been a faculty at EPFL, where he heads the Signal Processing Laboratory (LTS4). His research interests include graph signal processing, image representation and coding, visual information analysis, and distributed signal processing and communications.

Dr. Frossard has been the General Chair of IEEE ICME 2002 and Packet Video 2007. He has been the Technical Program Chair of IEEE ICIP 2014 and EUSIPCO 2008, and a member of the organizing or technical program committees of numerous conferences. He has been an Associate Editor of the IEEE TRANSACTIONS ON SIGNAL PROCESSING (2015-), IEEE TRANSACTIONS ON BIG DATA (2015-), IEEE TRANSACTIONS ON IMAGE PROCESSING (2010-2013), the IEEE TRANSACTIONS ON MULTIMEDIA (2004-2012), and the IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2006-2011). He is the Chair of the IEEE Image, Video and Multidimensional Signal Processing Technical Committee (2014-2015), and an elected member of the IEEE Visual Signal Processing and Communications Technical Committee (2006-) and of the IEEE Multimedia Systems and Applications Technical Committee (2005-). He has served as Steering Committee Chair (2012-2014) and Vice-Chair (2004-2006) of the IEEE Multimedia Communications Technical Committee and as a member of the IEEE Multimedia Signal Processing Technical Committee (2004-2007). He received the Swiss NSF Professorship Award in 2003, the IBM Faculty Award in 2005, the IBM Exploratory Stream Analytics Innovation Award in 2008 and the IEEE Transactions on Multimedia Best Paper Award in 2011.

Brief Bio - Fulvio Gini (Fellow IEEE) received the Doctor Engineer (cum laude) and the Research Doctor degrees in electronic engineering from the University of Pisa, Italy, in 1990 and 1995 respectively. In 1993 he joined the Department of Ingegneria dell’Informazione of the University of Pisa, where he become Associate Professor in 2000 and he is Full Professor since 2006. From July 1996 through January 1997, he was a visiting researcher at the Department of Electrical Engineering, University of Virginia, Charlottesville. He is an Associate Editor for the IEEE Transactions on Aerospace and Electronic Systems and for the Elsevier Signal Processing journal. He has been AE for the Transactions on Signal Processing (2000–06) and a Member of the EURASIP JASP Editorial Board. He has been the Editor-in-Chief of the Hindawi International Journal on Navigation and Observation (IJNO). He is the Area Editor for the Special issues of the IEEE Signal Processing Magazine. He was co-recipient of the 2001 IEEE AES Society’s Barry Carlton Award for Best Paper. He was recipient of the 2003 IEE Achievement Award for outstanding contribution in signal processing and of the 2003 IEEE AES Society Nathanson Award to the Young Engineer of the Year. He has been a Member of the Signal Processing Theory and Methods (SPTM) Technical Committee (TC) of the IEEE Signal Processing Society and of the Sensor Array and Multichannel (SAM) TC for many years. He is a Member of the Board of Directors (BoD) of the EURASIP Society, the Award Chair (2006-2012) and the EURASIP President for the years 2013-2016.

He was the Technical co-Chair of the 2006 EURASIP Signal and Image Processing Conference (EUSIPCO), Florence, Italy, September 2006, of the 2008 Radar Conference, Rome, Italy, May 2008, and of the IEEE CAMSAP 2015 workshop, to be held in Cancun, Mexico in December 2015. He was the General co-Chair of the 2nd Workshop on Cognitive Information Processing (CIP2010), of the IEEE ICASSP 2014, held in Florence in May 2014, and of the CoSeRa 2015 workshop on compressive sensing in radar, held in Pisa in June 2015. He was the guest co-editor of the special section of the Journal of the IEEE SP Society on Special Topics in Signal Processing on “Adaptive Waveform Design for Agile Sensing and Communication” (2007), guest editor of the special section of the IEEE Signal Processing Magazine on “Knowledge Based Systems for Adaptive Radar Detection, Tracking and Classification” (2006), guest co-editor of the two special issues of the EURASIP Signal Processing journal on “New trends and findings in antenna array processing for radar” (2004) and on "Advances in Sensor Array Processing (in memory of Alex Gershman)" (2013). He is co-editor and author of the book ”Knowledge Based Radar Detection, Tracking and Classification” (2008) and of the book "Waveform Diversity and Design" (2012). His research interests include modeling and statistical analysis of radar clutter data, non-Gaussian signal detection and estimation, parameter estimation and data extraction from multichannel interferometric SAR data. He authored or co-authored 9 book chapters, about 125 journal papers and more than 155 conference papers.

Brief Bio - Maria S. Greco graduated in Electronic Engineering in 1993 and received the Ph.D. degree in Telecommunication Engineering in 1998, from University of Pisa, Italy. From December 1997 to May 1998 she joined the Georgia Tech Research Institute, Atlanta, USA as a visiting research scholar where she carried on research activity in the field of radar detection in non-Gaussian background.

In 1993 she joined the Dept. of Information Engineering of the University of Pisa, where she is Associate Professor since Dec. 2011. She’s IEEE fellow since Jan. 2011 and she was co-recipient of the 2001 IEEE Aerospace and Electronic Systems Society’s Barry Carlton Award for Best Paper and recipient of the 2008 Fred Nathanson Young Engineer of the Year award for contributions to signal processing, estimation, and detection theory. In May and June 2015 she visited as invited Professor the Université Paris-Sud, CentraleSupélec, Paris, France. She has been general-chair, technical program chair and organizing committee member of many international conferences over the last 10 years. She is lead guest editor of the special issue on "Advanced Signal Processing for Radar Applications" of the IEEE Journal on Special Topics of Signal Processing, December 2015, she was guest co-editor of the special issue of the Journal of the IEEE Signal Processing Society on Special Topics in Signal Processing on "Adaptive Waveform Design for Agile Sensing and Communication," published in June 2007 and lead guest editor of the special issue of International Journal of Navigation and Observation on” Modelling and Processing of Radar Signals for Earth Observation published in August 2008. She’s Associate Editor of IET Proceedings – Sonar, Radar and Navigation, Editor-in-Chief of the IEEE Aerospace and Electronic Systems Magazine, member of the Editorial Board of the Springer Journal of Advances in Signal Processing (JASP), and Senior Editorial board member of IEEE Journal on Selected Topics of Signal Processing (J-STSP). She's also member of the IEEE AES and IEEE SP Board of Governors and Chair of the IEEE AESS Radar Panel. She's as well SP Distinguished Lecturer for the years 2014-2015, AESS Distinguished Lecturer for the years 2015-2016 and member of the IEEE Fellow Committee.

Her general interests are in the areas of statistical signal processing, estimation and detection theory. In particular, her research interests include clutter models, coherent and incoherent detection in non-Gaussian clutter, CFAR techniques, radar waveform diversity and bistatic/mustistatic active and passive radars. She co-authored many book chapters and more than 170 journal and conference papers.

Brief Bio - Yuantao Gu (S'02-M'03) received the B.E. degree from Xi’an Jiaotong University, Xi’an, China, in 1998, and the Ph.D. degree with honor from Tsinghua University, Beijing, China, in 2003, both in Electronic Engineering. He joined the faculty of Tsinghua in 2003 and is now an Associate Professor with Department of Electronic Engineering. He was a visiting scientist at Microsoft Research Asia, Beijing during December 2005 to February 2006, and Research Laboratory of Electronics at Massachusetts Institute of Technology (MIT), Cambridge, MA during August 2012 to August 2013. His research focuses on the general area of signal processing theory and methodology, which includes: i) to develop reconstruction and estimation method and to derive theoretical bounds in the emerging area of graph signal processing; ii) to develop fast algorithms and to conduct theoretical analysis on non-convex optimization for robust sparse recovery and sparse representation; and iii) to develop innovative techniques for improving the performance of adaptive filtering, especially in sparse system identification. He is the author/coauthor of two textbooks on Signals and Systems, and has published 26 journal papers, including 10 in IEEE TSP or IEEE JSTSP in the last 5 years, and 46 conference papers on signal processing, multimedia communications, and wireless networks. His homepage is http://gu.ee.tsinghua.edu.cn/.

Brief Bio - Yingbo Hua (S’86-M’88-SM’92-F’02) received B.S. degree from Southeast University (also known as Nanjing Institute of Technology, prior to 1988), Nanjing, China, in Feb 1982, and M.S. and Ph.D. degrees from Syracuse University, NY, in 1983 and 1988, respectively.

Since 2001, he has been a Full Professor with University of California, Riverside, where he was promoted to Senior Full Professor in 2009. During 1990-2000, he was on the Faculty of the University of Melbourne, Australia, where he was promoted to Associate Professor and Reader from 1996. He took a visiting faculty position with Hong Kong University of Science and Technology in 1999-2000, and served as a consultant with Microsoft Research, WA, in summer 2000.

He has published more than 120 journal papers and more than 200 conference papers in the field of signal processing, wireless communications and sensor networks. This list includes 44 in IEEE Transactions on Signal Processing, its predecessor or IEEE Journal of Selected Topics in Signal Processing, and many other papers in journals by EURASIP, IEEE Communications Society and six other IEEE Societies.

Dr. Hua has served as Editor, Associate Editor, Guest Editor and/or Member on Editorial Boards and/or Steering Committees for IEEE Transactions on Signal Processing (1994-1997, 2001-2002), IEEE Signal Processing Letters (1998-2001), IEEE Signal Processing Magazine (2005-2009), EURASIP Signal Processing (2005-2010), IEEE Journal on Selected Areas in Communications (2011-2012), and IEEE Wireless Communication Letters (2011-2013, 2016-). He is a former member on IEEE Signal Processing Society’s Technical Committees for Underwater Acoustic Signal Processing, Sensor Array and Multi-channel Signal Processing, and Signal Processing in Communications and Networking. He has been a Fellow of IEEE (2002-) and AAAS (2011-). His webpage is at http://www.ee.ucr.ehttp://www.ee.ucr.edu/~yhua/.

Brief Bio - Lei Huang (M’07-SM’14) received the B. Sc., M. Sc., and Ph. D. degrees in electronic engineering from Xidian University, Xi'an, China, in 2000, 2003, and 2005, respectively. From 2005 to 2006, he was a Postdoctoral Fellow with the Department of Electrical and Computer Engineering, Duke University, Durham, NC. He also held the Research Fellow and Research Associate positions at City University of Hong Kong, Kouloon, Hong Kong SAR and the Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR. From 2012 to 2014, he was a Full Professor with the Department of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen Graduate School), Xili, Shenzhen. Since November 2014, he has been with the College of Information Engineering, Shenzhen University, where he is currently a Chair Professor and the Director of Multi-dimensional Signal Processing (MSP) laboratory. He has authored/co-authored 12 papers in IEEE TSP during the last 8 years. His research interests include array signal processing, statistical signal processing, sparse theory and compressed sensing, laying emphasis on their practical applications in radar as well as communications.

Dr. Huang is a Senior Member of IEEE. Currently, he is an Associate Editor for IEEE Transactions on Signal Processing and Digital Signal Processing.

Brief Bio - Yongming Huang was born on Aug. 1977, in Suzhou, China. He received the B.S. and M.S. degrees from Nanjing University, China, in 2000 and 2003, respectively. In 2007 he received the Ph.D. degree in electrical engineering from Southeast University, China. Since March 2007 he has been with the School of Information Science and Engineering, Southeast University, China, where he is currently working as an associate professor. During 2008/2009, he was visiting the Signal Processing Lab, Electrical Engineering, Royal Institute of Technology (KTH), Stockholm, Sweden. His current research interests include MIMO wireless communications, multiuser MIMO communications, relaying communications, multi-cell cooperative communications and satellite mobile communications. He is serving as an associate editor in EURASIP Journal on Wireless Communications and Networking. In 2011, Dr. Huang was selected in the program for the New Century Excellent Talents of Ministry of Education of China, and was awarded as the Excellent Young Teacher of Southeast University.

EDUCATION: put your educational background below
Ph.D, Southeast University, Nanjing, China, 2007
M.Sc., Nanjing University, Nanjing, China, 2003
B.Sc., Nanjing University, Nanjing, China, 2000

PROFESSIONAL EXPERIENCE:
Associate Professor, Information Systems and Communications, Southeast University, Nanjing China, 2010 to present
Postdoc Researcher, Electrical Engineering, Royal Institute of Technology (KTH), Stockholm, Sweden, 2008-2009
Assistant Professor, Information Systems and Communications, Southeast University, Nanjing, China, 2007-2010

RESEARCH INTERESTS:
Dr. Huang conducts research in the general area of communications and signal processing. The broad goals of his research program are: (i) to develop innovative techniques for optimizing the quality and capacity of MIMO/multiuser/relaying/multicell wireless communication systems and derive their performance limits; and (ii) to develop practical engineering solutions to achieve the desired performance metric of MIMO/multiuser/relaying/multicell wireless transmission. He has published 29 journal papers, including 3 in IEEE TSP in the last 3 years, and 13 conference papers. He received many Awards including New Century Excellent Talents of Ministry of Education of China in 2011, and Excellent Young Teacher of Southeast University in 2011.
Dr. Huang will cover the EDICS: SPC, MSP and WIN

Brief Bio - D. Robert Iskander (M'98, SM'04) received the Ph.D. degree in signal processing from Queensland University of Technology (QUT), Australia, in 1997, and D.Sc. degree in biocybernetics and biomedical engineering from Silesian University of Technology, Gliwice, Poland, in 2010. From 1996 to 1998, he was a Post-Doctoral Fellow at the Signal Processing Research Centre and the Cooperative Research Centre for Satellite Systems, QUT, Australia. From 1998 to 2000, he was a Research Fellow at the Centre for Eye Research, QUT. In 2001 he joined the School of Engineering, Griffith University as a Senior Lecturer. From July 2003 he returned to the School of Optometry as a Principal Research Fellow (Associate Professor) where he led the Signal and Image Processing Group within the Contact Lens and Visual Optics Laboratory. In March 2011, he joined the Institute of Biomedical Engineering and Instrumentation (from November 2014, the Department of Biomedical Engineering), Wroclaw University of Technology, where he leads the Biomedical Signal Processing Group. Dr Iskander's current research interests include statistical signal processing, visual optics, optometry and ophthalmology.

Brief Bio - Tao Jiang received the Ph.D. degree in Electrical Engineering in June 2004 from the Huazhong University of Science Technology, Wuhan, P. R. China. From Aug. 2004 to Dec. 2007, he worked in Brunel University, UK and University of Michigan-Dearborn, USA, respectively. Since 2008, he has joined the School of Electronics Information and Communications of the Huazhong University of Science and Technology as a Chair Professor.

His current research interests lie in the general areas of signal processing and communications, including multicarrier transmissions of orthogonal frequency division multiplexing (OFDM) and filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM), multiple-input multiple-output (MIMO) wireless communications, millimeter wave communications, cooperative communication, energy efficient and energy harvesting wireless communication, smart grid, device-to-device communications (D2D) and optimization theory. He has authored/co-authored over 160 internationally refereed journal and conference papers, including 5 papers in IEEE TSP in the last 5 years. He is a recipient of the NSFC for Distinguished Young Scholars Award in P. R. China. Currently, he is a senior member of IEEE, and Associate Editor for the IEEE Transactions on Vehicular Technology and the IEEE Transactions on Signal Processing.
Tao Jiang will cover the EDICS: SPC

Brief Bio - Eleftherios Kofidis (S'91, M'97) received the Diploma and Ph.D. degrees in 1990 and 1996, respectively, both from the Department of Computer Engineering and Informatics, University of Patras, Patras, Greece. From 1996 to 1998 he served in the Hellenic Army. In the period 1998 to 2000, he was a postdoctoral fellow at the Institut National des Télécommunications (INT), Evry, France (now Télécom SudParis). From 2001 to 2004, he was a research associate at the University of Athens, Greece, and adjunct professor at the Universities of Peloponnese and Piraeus, Greece. In 2004, he joined the Dept. of Statistics and Insurance Science, University of Piraeus, Greece, where he is now Assistant Professor. He is also affiliated with the Computer Technology Institute & Press “Diophantus” (CTI), Greece. His research interests are in signal processing for communications and multirate signal processing and applications.

Dr. Kofidis has served as technical program co-chair in two international conferences (CIP-2008 and DSP-2009) and has been a technical program committee member and reviewer in a number of conferences and journals. He currently serves as Associate Editor for the IEEE Transactions on Signal Processing, the EURASIP Journal on Advances in Signal Processing (JASP) and the IET Signal Processing journal. He has (co-)organized a number of special sessions in international conferences and has been the lead guest editor for a JASP special issue. He is a member of IEEE, EURASIP, IET, and the Technical Chamber of Greece.

Brief Bio - Marios Kountouris (S’04–M’08–SM’15) received the Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2002 and the M.S. and Ph.D. degrees in Electrical Engineering from the Ecole Nationale Supérieure des Télécommunications (now Télécom ParisTech), France in 2004 and 2008, respectively. His doctoral research was carried out at Eurecom Institute, France, and it was funded by Orange Labs, France. From February 2008 to May 2009, he has been with the Department of ECE at The University of Texas at Austin as a research associate, working on wireless ad hoc networks under DARPA’s IT-MANET program. From June 2009 to December 2013, he has been an Assistant Professor at the Department of Telecommunications at Supélec (Ecole Supérieure d’Electricité), France, where he is currently an Associate Professor. From March 2014 to February 2015, he has been an Adjunct Professor in the School of EEE at Yonsei University, S. Korea. Since January 2015, he has been a Principal Researcher at the Mathematical and Algorithmic Sciences Lab, Huawei Technologies, France. Dr. Kountouris currently serves as Associate Editor for the IEEE Transactions on Signal Processing, the IEEE Transactions on Wireless Communications, the IEEE Wireless Communication Letters, the EURASIP Journal on Wireless Communications and Networking, and the Journal of Communications and Networks (JCN). He received the 2013 IEEE ComSoc Outstanding Young Researcher Award for the EMEA Region, the 2014 EURASIP Best Paper Award for EURASIP Journal on Advances in Signal Processing (JASP), the 2012 IEEE SPS Signal Processing Magazine Award, the IEEE SPAWC 2013 Best Student Paper Award, and the Best Paper Award in Communication Theory Symposium at IEEE Globecom 2009. He is a Senior Member of the IEEE and a Professional Engineer of the Technical Chamber of Greece.

Brief Bio - Olivier Lézoray is full Professor of Computer Science at the University of Caen in the Multimedia and Internet Department of the Cherbourg Institute of Technology. He is also a researcher in the Image team of the GREYC UMR CNRS 6072 research laboratory.

He received a Master (1995, with honours), a Ph.D (2000, with highest honours), and an Habilitation thesis (2007) in Computer Science from the University of Caen, France. From 1999 to 2000, he was an Assistant Professor with the Computer Science Department of the University of Caen. In 2000, he joined the Cherbourg Institute of Technology as an Associate Professor of Computer Science in the Communication Networks and Services Department and was director of graduate studies (2000-2009). Since 2008, he is Chair of the Cherbourg Institute of Technology Research Committee. In 2010, he became a full professor at the Cherbourg Institute of Technology in the Multimedia and Internet (MMI) Department. He is the head of the MMI Department since 2015. He served as a visiting research fellow at the university of Sydney (Australia), a visiting professor at the Univesity of Alicante (Spain), and a visiting scientist at Brown University (USA). In 2011 he cofounded the company Datexim and is a member of the scientific board of the company, which brought state-of-art image and data processing to market with applications in digital pathology.

His research interest are in graph-based signal processing, adaptive and multidimensional mathematical morphology, and machine learning. Applications of his work include digital pathology, computational photography, and computer vision.

He is a contributor to seven books, and he has published over 100 papers in refereed journals and conference proceedings in the areas of image processing and machine learning. In 2008, he received the IBM Best Paper Student Award at ICIP 2008 with V-T. Ta and A. Elmoataz. Olivier L\'ezoray is a member and Local Liaison Officer of the European Association for Signal, Speech and Image Processing (EURASIP), a memeber of the IEEE, of the IEEE Signal Processing Society's, of the IEEE Communication Society Multimedia Communications Technical Committee, and of the International Association for Pattern Recognition (IAPR). He was the program cochair of the International Conference on Image and Signal Processing (ICISP) in 2008, 2010, 2012 and 2014. He was a guest coeditor of the EURASIP Journal on Advances in Signal Processing for a special issue on Machine Learning in Image Processing, of Signal Processing for a special issue on the Processing and Analysis of High-Dimensional Masses of Image and Signal Data, and of Computerized Medical Imaging and Graphics for a special issue on Whole Slide Microscopic Image Processing. He serves as a reviewer and associate editor for various scientific international journals. He is the co-editor with Leo Grady of the book: "Image Processing and Analysis with Graphs: Theory and Practice" (CRC Press, 2012).

Brief Bio - EDUCATION:
Hongbin Li received the B.S. and M.S. degrees from the University of Electronic Science and Technology of China, in 1991 and 1994, respectively, and the Ph.D. degree from the University of Florida, Gainesville, FL, in 1999, all in electrical engineering.

PROFESSIONAL EXPERIENCE:
From July 1996 to May 1999, he was a Research Assistant in the Department of Electrical and Computer Engineering at the University of Florida. Since July 1999, he has been with the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, where he is a Professor. He was a Summer Visiting Faculty Member at the Air Force Research Laboratory in the summers of 2003, 2004 and 2009. His general research interests include statistical signal processing, wireless communications, and radars.

Dr. Li received the IEEE Jack Neubauer Memorial Award in 2013 for the best systems paper published in the IEEE Transactions on Vehicular Technology, the Outstanding Paper Award from the IEEE AFICON Conference in 2011, the Harvey N. Davis Teaching Award in 2003 and the Jess H. Davis Memorial Award for excellence in research in 2001 from Stevens Institute of Technology, and the Sigma Xi Graduate Research Award from the University of Florida in 1999. He has been a member of the IEEE SPS Signal Processing Theory and Methods (2011 to now) Technical Committee (TC) and the IEEE SPS Sensor Array and Multichannel TC (2006--2012). He is an Associate Editor for Signal Processing (Elsevier), and served on the editorial boards for IEEE Transactions on Wireless Communications, IEEE Signal Processing Letters, and IEEE Transactions on Signal Processing. He was a Guest Editor for EURASIP Journal on Applied Signal Processing. He has been involved in various conference organization activities, including serving as a General Co-Chair for the 7th IEEE Sensor Array and Multichannel Signal Processing (SAM) Workshop, Hoboken, NJ, June 17-20, 2012.

Brief Bio - Dr Wei Liu received his B.Sc. in Space Physics (minor in Electronics) in 1996, L.L.B. in Intellectual Property Law in 1997, both from Peking University, China, M.Phil. from the Department of Electrical and Electronic Engineering, University of Hong Kong, in 2001, and Ph.D. in 2003 from the School of Electronics and Computer Science, University of Southampton, UK. He then worked as a postdoc in the same group and later in the Group, Department of Electrical and Electronic Engineering, Imperial College London. Since September 2005, he has been with the Communications Group, Department of Electronic and Electrical Engineering, University of Sheffield, UK, as a lecturer, and then a senior lecturer. His research interests are mainly in sensor array signal processing, blind signal processing, multirate signal processing and their various applications in wireless communications, sonar, radar, satellite navigation, speech enhancement and biomedical engineering. He has now published more than 150 journal and conference papers, and a research monograph about wideband beamforming (”Wideband Beamforming: Concepts and Techniques”, John Wiley & Sons, March 2010).

He is a senior member of IEEE, an associate member of the IEEE SAM Technical Committee, a fellow of the Higher Education Academy of the UK, and a regular reviewer for all major journals and conferences in areas related to signal processing.

Brief Bio - Marco Lops received his "Laurea" and his PhD degrees from Federico II, Naples. He was assistant professor and associate professor at Federico II, while, since 2000, he has been a full professor with University of Cassino e del Lazio Meridionale. He was visiting scholar at University of Connecticut (1991), Rice University (1998), Princeton (2000), visiting professor at University of Minnesota (2008), Columbia University (2009). In 2009-2010 he was full professor with ENSEEIHT (Toulouse, on leave of absence from Cassino) and he was visiting professor with ENSEEIHT in 2011 and early 2012. His research interests are in the field of statistical signal processing and communications, detection/estimation theory (with emphasis on radar signal processing and multiple access communications) and space-time coding for MIMO systems. He has co-authored around 80 journal papers, mostly in IEEE journals. His editorial experience includes AE-ship for Journal of Communications and Networks (since 2002), IEEE Transactions on Information Theory (2009-2012), IEEE Signal Processing Letters (since 2014). He has been a member of the SAM committee since 2010. He covers EDICS in RAS, SAM and SSP

Brief Bio - Wing-Kin (Ken) Ma is currently an Associate Professor with the Department of Electronic Engineering, The Chinese University of Hong Kong (CUHK). He received the B.Eng. degree in in electrical and electronic engineering from the University of Portsmouth, Portsmouth, U.K., in 1995, and the M.Phil. and Ph.D. degrees, both in electronic engineering, CUHK, in 1997 and 2001, respectively. Prior to taking the faculty position in CUHK, he held various research positions with McMaster University, Canada; CUHK; and the University of Melbourne, Australia, and held an Assistant Professor position with National Tsing Hua University, Taiwan, R.O.C. His research interests are in signal processing, communications and optimization, with a recent emphasis on MIMO transceiver designs and interference management, and blind separation and structured matrix factorization.

Dr. Ma is currently serving or has served as Associate Editor and Guest Editor of several journals, which include Signal Processing, IEEE Transactions on Signal Processing, IEEE Signal Processing Magazine, and IEEE Journal of Selected Areas in Communications. He was a tutorial speaker in EUSIPCO 2011 and ICASSP 2014. He is currently a Member of the Signal Processing Theory and Methods Technical Committee (SPTM-TC) and the Signal Processing for Communications and Networking Technical Committee (SPCOM-TC). Dr. Ma received 2015 IEEE Signal Processing Magazine Best Paper Award, and his students received ICASSP Best Student Paper Awards in 2011 and 2014, respectively.

Brief Bio - Dr. Dmitry Malioutov is a research staff member in the Machine Learning group in the Business Analytics and Mathematical Sciences (BAMS) department at the IBM T.J. Watson Research Center, Yorktown Heights, NY. Dmitry received the Ph.D. and the S.M. degrees in Electrical Engineering and Computer Science from MIT. Prior to joining IBM, Dmitry had spent several years as an applied researcher in high-frequency trading in DRW Trading, Chicago, and as a postdoctoral researcher in Microsoft Research, UK. His research interests include inference and learning in graphical models, message passing algorithms; Sparse signal representation; Sensor array source localization; Statistical risk modeling, robust covariance and joint dependence modeling; portfolio optimization. More generally: statistical signal processing, machine learning and convex optimization; applications in quantitative finance.

Dr. Malioutov received the 2010 IEEE SPS best paper award, and a 2006 IEEE ICASSP student paper award. Dr. Malioutov serves on the IEEE-SPS machine learning for signal processing technical committee.

Brief Bio - Dr. Elias S. Manolakos is an Assoc. Professor of Signal Processing Systems at University of Athens, Dept. of Informatics and Telecommunications, where he directs the Multidisciplinary Graduate Program Information Technology in Medicine and Biology. Before returning to Europe he was with the ECE Dept. of Northeastern University, Boston where he directed the Communications and Digital Signal Processing Research Center, promoting industry-academia collaborations in the Boston area. His research has a strong interdisciplinary component. Starting from signal/image analysis, machine learning, mathematical modeling, high performance & embedded computing, he has focused on their application to computational & systems biology, and systems ecology. He has authored , or co-authored with his students more than 130 articles in scientific journals and conference proceedings. In 2013, he received the "Excellence" Award, a high distinction very few PIs receive in Greece, to perform research at the boundaries of signal processing, embedded systems and computational systems biology. His interdisciplinary research has attracted substantial support from US and EU and national funding agencies. Dr. Manolakos is also a Visiting Scholar at the Wyss Institute for Biologically Inspired Engineering, Harvard University Boston (2012-). He is an Elected Member of the IEEE-SP TC on Machine Learning for Signal Processing, (2012-, 2004-2008), and has been an Elected Member of the IEEE-SP TC on the Design and Implementation of Signal Processing Systems (2004-2010) where he is currently a Member of the Senior Advisory Board. Moreover, he has served as an Associate Editor of the IEEE Transactions on Signal Processing (1996-1999, 2005-2007), IEEE Signal Processing Letters (2000-2005) etc. Prof. Manolakos is a Senior Member of IEEE.

Brief Bio - Dr. Gonzalo Mateos was born in Montevideo, Uruguay, in 1982. He received his B.Sc. degree in Electrical Engineering from Universidad de la Republica, Uruguay, in 2005, and the M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Minnesota (UofM), Twin Cities, in 2009 and 2011. From 2004 to 2006, he worked as a Systems Engineer at Asea Brown Boveri (ABB), Uruguay. During the 2013 academic year, he was a visiting scholar with the Computer Science Department at Carnegie Mellon University. Since 2014, he has been an Assistant Professor with the Department of Electrical and Computer Engineering at the University of Rochester, Rochester, NY, where he is also a member of the Goergen Institute for Data Science.

Dr. Mateos research interests lie in the areas of statistical learning from big data, network science, graph signal processing, and decentralized optimization. His current research focuses on algorithms, analysis, and application of statistical signal processing tools to dynamic network health monitoring, social, power grid, and Big Data analytics.

Since 2012, he serves on the Editorial Board of the EURASIP Journal on Advances in Signal Processing. He received the Best Student Paper Award at the 13th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2012, and was also a finalist of the Student Paper Contest at the 14th IEEE DSP Workshop, 2011. His doctoral work has been recognized with the 2013 UofM's Best Dissertation Award (Honorable Mention) across all Physical Sciences and Engineering areas.

Dr. Mateos will cover EDICS under: NEG, MLR, OPT.

Brief Bio - Dr. John McAllister received the BEng (Hons.) and PhD degrees in Electrical and Electronic Engineering from Queen’s University Belfast (QUB) in 2001 and 2004 respectively. He has been a member of academic staff in the Institute of Electronics, Communications and Information Technology (ECIT) in the School of Electronics, Electrical Engineering and Computer Science (EEECS) at QUB since 2005. His research interests are in the fields of novel algorithms, architectures and model-based design processes for embedded digital signal processing systems. His particular current focus lies in the area of software-defined MIMO transceivers architectures.

He has published numerous papers in international conferences and journals, including IEEE Trans. Signal Processing. He co-authored the best paper award winners at the 2007 IEEE International Workshop on Signal Processing Systems (SIPS), and the 2011 International Symposium on Applied Reconfigurable Computing (ARC). In 2008 he co-founded CapnaDSP Ltd. (www.capnadsp.com), a hi-tech spin-out from QUB which supplies a unique range of model-based design tools and services for FPGA-based DSP systems to the embedded signal, image and information processing industries.

Brief Bio - Xavier Mestre received the MS and PhD in Electrical Engineering from the Technical University of Catalonia (UPC) in 1997 and 2002 respectively and the Licenciate Degree in Mathematics in 2011. During the pursuit of his PhD, he was recipient of a 1998-2001 PhD scholarship (granted by the Catalan Government) and was awarded the 2002 Rosina Ribalta second prize for the best doctoral thesis project within areas of Information Technologies and Communications by the Epson Iberica foundation.

From January 1998 to December 2002, he was with UPC’s Communications Signal Processing Group, where he worked as a Research Assistant. In January 2003 he joined the Telecommunications Technological Center of Catalonia (CTTC), where he currently holds a position as a Senior Research Associate in the Communications System Division and head of the Advanced Signal and Information Processing Department at CTTC. He has actively participated in the European projects, and has been the coordinator of the ICT project EMPhAtiC.

He has published two book chapters and 29 journal papers, 14 in IEEE TSP or IEEE JSTSP in the last 15 years, and 76 conference papers. He is IEEE Senior member (2009) and elected member of the IEEE Sensor Array and Multichannel Signal Processing Technical Committee (SAM-TC) since 2013. He has served as associate editor of the IEEE Transactions on Signal Processing (2008-11) and as guest editor of the EURASIP Journal on Wireless Communications and Networking (2009). He has been technical chair of the European Signal Processing Conference (EUSIPCO) 2011 and general co-chair of the European Wireless Conference 2014.

Dr. Xavier Mestre conducts research in the general area of communications and array signal processing, with special emphasis on novel multicarrier modulation techniques and applications of random matrix theory techniques to multi-sensor and array signal processing.

Dr. Xavier Mestre covers EDICS in the areas of SAM and SPCOM.

Brief Bio - EDUCATION:
- Ph.D, Electrical Engineering, University of Delft, The Netherlands, 2000
- M.Sc., Electrical Engineering, University of Florence, Florence, IT, 1995.

PROFESSIONAL EXPERIENCE:
- 2006 to present: Assistant professor at University of Pisa, Pisa, Italy.
- Fall Semester 2014: Adjunct Professor at Columbia University, New York, USA.
- 2003-2006: Young researcher in an Italian state-funded project.
- 2000-2003: in charge of a small research group at Marconi Mobile, a division of Marconi PLC.

RESEARCH INTERESTS: The interests of Dr. Moretti lay mainly in the areas of resource allocation and estimation and detection for wireless systems. In the last 8 years, he has published more than 20 journal papers, 1 book chapter, 2 patents, and several conference papers. Dr. Moretti serves on the IEEE Signal Processing and Communications Electronics (SPCE) Technical Committee of Communications Society and on the Technical Program Committee of numerous international conferences. He has served as local liaison of ICASSP 2014.

Brief Bio - Morten Mørup received his Master’s and PhD degree from the Technical University of Denmark. He is currently Associate Professor at the Section for Cognitive Systems, DTU Compute, Technical University of Denmark. Morten Mørup’s field of research is machine learning and statistical modeling where he primarily research source separation approaches including multiway/tensor decomposition methods and statistical models of complex networks. In particular, his research focuses on developing tools for learning the statistical regularities and patterns in brain scans from functional and diffusion magnetic resonance imaging (fMRI and dMRI) as well as electroencephalography (EEG) data. Morten Mørup has in the last 10 years published more than 20 journal, and 40 conference papers, including an article in IEEE SPM, and 13 conference papers at the IEEE workshop on Machine Learning for Signal Processing. He has since 2009 served as member of Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society.

Brief Bio - Sergio Lima Netto: EDUCATION: put your educational background below Ph.D, Electrical Engineering, University of Victoria, BC, Canada, 1996 M.Sc., Electrical Engineering, Federal University of Rio de Janeiro, Brazil, 1992 B.Sc., Electronics Engineering, Federal University of Rio de Janeiro, Brazil, 1991.

PROFESSIONAL EXPERIENCE: Associate Professor, Electrical Engineering, Federal University of Rio de Janeiro, Brazil, 1997 to present.

RESEARCH INTERESTS: Dr. Netto conducts research in the general areas of digital and adaptive signal processing. The broad goals of his research program are digital filter analysis and design; adaptive-filter algorithms and applications; system modeling; spectral analysis; denoising; event classification and prediction.

He has published 24 journal papers, including 1 in IEEE SP Magazine, 2 in IEEE TSP and 2 in IEEE SP Letters in the last 22 years, and 57 conference papers. He is the co-author (with Paulo S. R. Diniz and Eduardo A. B. da Silva) of Digital Signal Processing: System Analysis and Design, Cambridge University Press, London:UK, 2nd edition, August 2010. (ISBN: 978-0-521-88775-5).

He received the IEEE Circuits and Systems Society Guillemin-Cauer Award in 2006 for the paper M. B. Furtado, Jr., P. S. R. Diniz, S. L. Netto, and T. Saramäki, “On the design of high complexity cosine-modulated transmultiplexers based on the frequency-response masking,” IEEE Trans. Circuits and Systems, Part I: Regular Papers, vol. 52, no. 11, pp. 2413-2426, Nov. 2005. ISSN: 1057-7122.

Brief Bio - Danilo Orlando (IEEE Senior Member 2013) was born in Gagliano del Capo, Italy, on August 9, 1978. He received the Dr. Eng. Degree (with honors) in computer engineering and the Ph.D. degree (with maximum score) in information engineering, both from the University of Salento (formerly University of Lecce), Italy, in 2004 and 2008, respectively. From July 2007 to July 2010, he has worked with the University of Cassino (Italy), engaged in a research project on algorithms for track-before-detect of multiple targets in uncertain scenarios. From September to November 2009, he has been visiting scientist at the NATO Undersea Research Centre (NURC), La Spezia (Italy) where he collaborated with Dr. F. Ehlers on track-before-detect strategies for multistatic sonars. From September 2011 to April 2015, he has worked at Elettronica SpA engaged as system analyst in the field of Electronic Warfare. In May 2015, he joined Università degli Studi "Niccolò Cusano", where he is currently associate professor. His main research interests are in the field of statistical signal processing and image processing with more emphasis on adaptive detection and tracking of multiple targets in multisensor scenarios. He has held visiting positions with the department of Avionics and Systems of ENSICA (now Institut Supérieur de l'Aéronautique et de l'Espace, ISAE), Toulouse (France) in February-March 2007, where he has worked with Prof. O. Besson on adaptive radar detection in presence of mismatched signals. He is Senior Member of IEEE and author or co-author of more than 50 scientific publications in international journals, conferences, and books.

Brief Bio - EDUCATION:
Ph.D., Electrical and Computer Engineering, The University of Iowa, Iowa City, USA, 2002
M.S., Mathematics, The University of Iowa, Iowa City, USA, 2001
M.S., Electrical and Computer Engineering, The University of Iowa, Iowa City, USA, 2000
B.E., Electronics and Communication Engineering, Osmania University, Hyderabad, India, 1998

PROFESSIONAL EXPERIENCE:
Senior Scientist, Philips Research, 2006 to present
Senior Researcher, Samsung Advanced Institute of Technology, 2004 - 2006
Post-doc, Department of Electrical and Computer Engineering, University of Florida, 2003

RESEARCH INTERESTS: Dr. Ashish Pandharipande conducts research in the general areas of sensor signal processing, cognitive wireless communications and controls, with a current application focus on smart lighting and energy management systems. He is currently an editor of EURASIP Journal of Wireless Communications and Networking (JWCN) and was a guest co-editor of a special issue on reconfigurable wireless systems in JWCN. He is a member of the International Advisory Board, Lighting Research & Technology Journal. He serves as associate editor for IEEE Sensors Journal since 2012.

He has published about thirty journal papers, including five in IEEE TSP in the last seven years, and about sixty conference papers.
Dr. Pandharipande will cover the EDICS: SPC-CRDS, SPC-APPL, SEN-FUSE, SEN-DIST, SEN-APPL.

Brief Bio - (S’04, M’06, SM’14) Frédéric Pascal received the Master's degree ("Probabilities, Statistics and Applications: Signal, Image et Networks") with merit, in Applied Statistics from University Paris VII - Jussieu, Paris, France, in 2003. Then, he received the Ph.D. degree of Signal Processing, from University Paris X - Nanterre, advised by Pr. Philippe Forster: "Detection and Estimation in Compound Gaussian Noise" in 2006. This Ph.D thesis was in collaboration with the French Aerospace Lab (ONERA), Palaiseau, France. From November 2006 to February 2008, he made a post-doctoral position in the Signal Processing and Information team of the laboratory SATIE, CNRS, ENS Cachan, France. Between March 2008 and December 2011 (resp. Jan. 2012 – Dec. 2013), he was an Assistant Professor (resp. Associate Professor) in SONDRA, the French-Singaporean laboratory of SUPELEC. In 2012, he obtained a Research Directorship Habilitation (HDR) thesis in Signal Processing from the University of Paris-Sud. From January 2014, Frederic Pascal is a full Professor in the L2S laboratory at SUPELEC. From January 2015, Frederic Pascal is an elected senior member of the IEEE Signal Processing Society SAM technical committee. His research interests contain estimation, detection and classification in statistical signal processing and radar processing.

Brief Bio - Mark D. Plumbley received the B.A. (honors) degree in electrical sciences in 1984 and the Ph.D. degree in neural networks in 1991, both from the University of Cambridge, United Kingdom. From 1991 to 2001, he was a lecturer at King’s College London, before moving to Queen Mary University of London in 2002, later becoming Director of the Centre for Digital Music. In 2015 he joined the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, as Professor of Signal Processing. His research focuses on the automatic analysis of music and other sounds, including automatic music transcription, beat tracking, and acoustic scene analysis, using methods such as source separation and sparse representations. He is a member of the IEEE Signal Processing Society Technical Committees on Audio & Acoustic Signal Processing and Signal Processing Theory and Methods. He is a Fellow of the IEEE.

Brief Bio - Dr. Quan received his Ph.D. in Electrical Engineering from University of California, Los Angeles (UCLA) with highest honors in 2009, and his B.E. in Communications Engineering from Beijing University of Posts and Telecommunications (BUPT), China in 1999. Dr. Quan was a visiting scholar with the Department of Electrical Engineering at Princeton University (Princeton, NJ) during 2007-2008. He worked as a Sr. System Engineer in R&D Department of Qualcomm Inc. (San Diego, CA) during 2008-2012, and as a Sr. RF System Engineer and Architect with Apple Inc. (Cupertino, CA) during 2012-2014. Since 2015, he has been working as an Associate Professor in Department of Electrical and Electronic Engineering, Southern University of Science and Technology, China.

Dr. Quan is the recipient of UCLA Outstanding Ph.D. Award in 2009, IEEE Signal Processing Society Best Paper Award in 2012, and Chinese 1000 Young Talent Program in 2014. He has published 20+ articles that were most highly cited and holds 30+ U.S. Patents. His research interests span detection and estimation, data-driven signal processing, linear and nonlinear optimization, PHY/MAC design for wireless communications, and RF system measurement and calibration.

Brief Bio - Tharmalingam Ratnarajah (S’94–M’05–SM’05) is currently with the Institute for Digital Communications, University of Edinburgh, Edinburgh, U.K., as a Professor in Digital Communications and Signal Processing. His research interests include signal processing and information theoretic aspects of 5G wireless networks, full-duplex radio, mmWave communications, random matrices theory, interference alignment, statistical and array signal processing and quantum information theory. He has published over 250 publications in these areas and holds four U.S. patents. He is currently the coordinator of the FP7 projects HARP (3.2M) in the area of highly distributed MIMO and ADEL (3.7M) in the area of licensed shared access. Previously, he was the coordinator of FP7 Future and Emerging Technologies project CROWN (2.3M) in the area of cognitive radio networks and HIATUS (2.7M) in the area of interference alignment. He is a Fellow of Higher Education Academy (FHEA), U.K.

Brief Bio - Markku Renfors received M.Sc. and Dr. Tech. degrees from Tampere University of Technology (TUT), Tampere, Finland, in 1978 and 1982, respectively. Since 1992, he has been a Professor with the Department of Electronics and Communications Engineering, TUT, where he was Department Head from 1992 to 2010. Dr. Renfors is a Fellow of IEEE and recipient of the 1987 IEEE Circuits and Systems Society’s Guillemin-Cauer Award (together with Tapio Saramäki). He has authored 66 papers in refereed journals, 300+ papers in conferences with review practice, and two patents. He has supervised 14 doctoral dissertations. Dr. Renfors was an Associate Editor of IEEE Signal Processing Letters in 2006-2010 and he is a member of the Editorial Board of EURASIP Signal Processing journal since 2011. He has served in the conference organization committees of ISCAS 1988, EUSIPCO 2000, ICC 2001, PIMRC 2006, SPAWC 2007, and SiPS 2009. His research interests include multirate filtering and filter banks, especially with applications in advanced multicarrier and single-carrier waveforms, software defined radio, and algorithms for flexible communications receivers and transmitters. He has actively participated in the EU FP7 projects PHYDYAS and EMPhAtiC developing FBMC techniques especially for cognitive radio and heterogeneous fragmented spectrum use scenarios. His research interests include also digitally enhanced radio techniques targeting at using advanced DSP techniques for mitigating the effects of analog imperfections in communications receiver and transmitter implementations.

Brief Bio - Cédric Richard (S’98–M’01–SM’07) received the Dipl.-Ing. and the M.S. degrees in 1994, and the Ph.D. degree in 1998, from Compiègne University of Technology, France, all in electrical and computer engineering. From 1999 to 2003, he was an Associate Professor at Troyes University of Technology, France, and a Full Professor from 2003 to 2009. Since 2009, he is a Full Professor at University Nice Sophia Antipolis, France. He is a junior member of the Institut Universitaire de France since 2010.

His current research interests include statistical signal processing and machine learning. Cédric Richard is the author of over 230 papers, mostly in IEEE journals and conferences. He was the General Chair of the IEEE SSP Workshop that was held in Nice, France, in 2011. He will be the Technical Chair of EUSIPCO 2015, and of the IEEE CAMSAP Workshop 2015. In 2006–2010, he served as an associate editor of the IEEE Transactions on Signal Processing. Currently, he serves as an Associate Editor of the Transactions on Signal and Information Processing over Networks, and of Signal Processing Elsevier. He serves as member of the Machine Learning for Signal Processing (MLSP TC) Technical Committee, and also served as member of the Signal Processing Theory and Methods (SPTM TC) Technical Committee in 2009-2014.

Dr. Yue Rong (S'03-M'06-SM'11) received the Ph.D. degree (summa cum laude) in electrical engineering from the Darmstadt University of Technology, Darmstadt, Germany, in 2005.

He was a Post-Doctoral Researcher with the Department of Electrical Engineering, University of California, Riverside, from February 2006 to November 2007. Since December 2007, he has been with the Department of Electrical and Computer Engineering, Curtin University, Bentley, Australia, where he is currently an Associate Professor. His research interests include signal processing for communications, wireless communications, underwater acoustic communications, applications of linear algebra and optimization methods, and statistical and array signal processing.

Dr. Rong was a recipient of the Best Paper Award at the 2011 International Conference on Wireless Communications and Signal Processing, the Best Paper Award at the 2010 Asia-Pacific Conference on Communications, and the Young Researcher of the Year Award of the Faculty of Science and Engineering at Curtin University in 2010. He is an Editor of the IEEE Transactions on Signal Processing, IEEE Wireless Communications Letters, a Guest Editor of the IEEE Journal on Selected Areas in Communications special issue on theories and methods for advanced wireless relays, and was a TPC Member for the IEEE ICC, WCSP, IWCMC, and ChinaCom.

Brief Bio - Brian M. Sadler received the B.S. and M.S. degrees from the University of Maryland, College Park, and the PhD degree from the University of Virginia, Charlottesville, all in electrical engineering. He is a Fellow of the IEEE, and a Fellow of the Army Research Laboratory (ARL) in Adelphi, MD. He has been an associate editor for EURASIP Signal Processing, IEEE Transactions on Signal Processing, and IEEE Signal Processing Letters, and has been a guest editor for several journals including IEEE JSTSP, IEEE JSAC, the IEEE SP Magazine, and the International Journal of Robotics Research. He is a member of the IEEE Signal Processing Society Sensor Array and Multi-channel Technical Committee, and Co-Chair of the IEEE Robotics and Automation Society Technical Committee on Networked Robotics. He received Best Paper Awards from the Signal Processing Society in 2006 and 2010. He has received several ARL and Army R&D awards, as well as a 2008 Outstanding Invention of the Year Award from the University of Maryland. His research interests include information science, networked and autonomous systems, sensing, and mixed-signal integrated circuit architectures.

Brief Bio - EDUCATION: Ph.D, Electrical Engineering, University of Rome "La Sapienza", Rome, IT, 2006.
M.Sc., Electrical Engineering, University of Rome "La Sapienza", Rome, IT, 2001.

PROFESSIONAL EXPERIENCE:
- 01/2011-present: Assistant professor, the State University of New York (SUNY) at Buffalo
- 01/2010-12/2010: Research Associate, University of Illinois at Urbana-Champaign, IL, USA.
- 01/2009-12/2009: Research Associate, Hong Kong Univ. of Science and Technology (HKUST), Hong Kong.
- 11/2007-12/2008: Research Associate, University of Rome "La Sapienza", Rome, Italy.
- 09/2007-08/2008: Visiting Researcher, Hong Kong Univ. of Science and Technology (HKUST), Hong Kong.
- 11/2006-11/2007: Post-Doc, University of Rome “La Sapienza”, Rome, Italy.
- 02/2004-09/2004: Visiting PhD Student, University of California at Berkeley, Berkeley, CA, USA.

RESEARCH INTERESTS: Dr. Scutari conducts research in the general area of optimization (with special emphasis on Game Theory and Variational Inequalities), communications, cross-layer wireless networking, and distributed signal processing. In particular, his current research interests are: (i) to develop new mathematical models and distributed solution methods for optimizing the performance of complex large-scale (stochastic) networks, and (ii) to gain a solid understanding of newly developed or existing systems through theoretical analysis.

He has published 26 journal papers, including 15 in IEEE TSP or IEEE SP Magazine in the last 8 years, 3 book chapters, 1 Patent, and more than 50 conference papers. He received multiple fellowships and scholarships, and Awards, including the National Science Foundation (NSF) Faculty Early Career Development (CAREER) award in 2013, the 2013 Excellent Talents of Italian Region of Basilicata, Italy, and the Best Student Paper Award at IEEE ICASSP 2006.

Dr. Scutari is a Senior member of IEEE. He serves on the IEEE Signal Processing for Communications and Networking Technical Committee (SPCOM) (Jan 1, 2012 - Dec 31, 2014). He has also served as an Associate Editor of IEEE Signal Processing Letters (Jan 2012-March 2013) and on the Technical Program Committee of numerous international conferences.

Dr. Scutari will cover the EDICS: SPC-CRDS, SPC-MULT, SPC-PERF, SPC-SPRD, SPC-STCD, SPC-INTF, MSP-CODR, MSP-CAPC, MSP-STCD, MSP-MULT, SEN-ASAL, SEN-DIST, SEN-PCON, SEN-COLB, SEN-DCON, SEN-FUSE, WIN-CLRD, WIN-SQUE, WIN-RSMG, WIN-PHYL, WIN-INFO, WIN-ADHC, WIN-CONT, WIN-SYLO, WIN-APPL.

Brief Bio - Dr Mathini Sellathurai (HWU PI) is a Reader in Signal Processing with the Institute of Sensors, Signals, and Systems (ISSS) at the Heriot-Watt University (HWU), Edinburgh and is leading research in wireless communications and signal processing. In her 14-year research on MIMO signal processing with applications in radar and wireless communications, Dr Sellathurai has published over 160 peer reviewed papers in leading international journals and IEEE conferences; given invited talks and written several book chapters as well as a research monograph as a lead author. Her research has been funded by industries DSTL (developed a cognitive radio real-life demo), QinetiQ (UK) and WFS (UK); EPSRC under EP/D07827X/1; EP/G026092/1; EP/H012257/1 and EP/I037156/1. She is also a lead member of EU-FP7 projects "CROWN" (2.3M€, 2009-2012) and "ADEL" (3.7M€, 2013-2016) with world-leading industry partners. The significance of her accomplishments is recognised through international awards, including an IEEE Communication Society Fred W. Ellersick Best Paper Award in 2005, Industry Canada Public Service Awards for contributions in science and technology in 2005 and award for contributions to technology Transfer to industries in 2004. She has held industrial positions with Bell-Laboratories, New Jersey, USA and the Canadian Communications Research Centre (CRC), where she led various practical research projects characterising wireless communication and information systems. She received a Public Service Award from the Prime Minister of Canada for her outstanding research at CRC. She is a member for IEEE Signal Processing for Communications technical strategy committee; AE for IEEE Transactions on Signal Processing (2009-2014, 2015 - present). She is also the general chair of the SPAWC 2016.

Brief Bio - Jorge F. Silva is Associate Professor at the Electrical Engineering Department and director of the Information and Decision Systems (IDS) Group at the University of Chile, Santiago, Chile. He received the Master of Science (2005) and Ph.D. (2008) in Electrical Engineering from the University of Southern California (USC). He is IEEE member of the Signal Processing and Information Theory Societies and he has participated as a reviewer in various IEEE journals on Signal Processing. Mr. Silva is recipient of the Viterbi Doctoral Fellowship 2007–2008 and Simon Ramo Scholarship 2007–2008 at USC. Jorge F. Silva was research assistant at the Signal Analysis and Interpretation Laboratory (SAIL) at USC (2003–2008) and was also research intern at the Speech Research Group, Microsoft Corporation, Redmond (Summer 2005).

Dr. Silva has contributed in several areas of signal processing and its application including; automatic speech recognition, prediction and estimation, pattern recognition, content-based indexing, performance bounds for parameter estimation, density estimation, signal processing applied to inverse problems in geosciences, parameter estimation applied to astrometry and photometry. He has published 25 journal papers, including 8 in IEEE TSP, TASL and TIT, and 29 international conferences papers. His current research interests include: detection and estimation, information theory and statistics, universal source coding, compressible models for information sources, wavelet and multi-resolution analysis, compressed sensing and its applications.

Brief Bio - Prof. Smaragdis received his Ph.D. at the Massachusetts Institute of Technology in 2001, and subsequently worked as a research scientist at Mitsubishi Electric Research Labs in Cambridge MA, and as a senior research scientist at Adobe Systems Inc. In 2010 he joined the faculty of the departments of Computer Science, and Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign. He has been recognized by the MIT Technology Review as one of the top world innovators under 35 years old of 2006 (TR35 award). He's the author of more than 100 peer-reviewed publications, and holds more than 20 US and international patents. His work on using machine learning and signal processing techniques has been productized many times worldwide and is widely in use in personal computers and commercial systems. From 2012 to 2014 he was the chair the Machine Learning for Signal Processing Technical Committee of the IEEE and is currently a member of the Audio and Acoustics Signal Processing Technical Committee. He chairs the steering committee of the international community on Latent Variable Analysis, and is a frequent contributor to the organization of international conferences in the above areas. He is an IEEE fellow. His research focuses on the intersection of machine learning and signal processing, and more specifically in the intelligent processing of audio.

Brief Bio - EDUCATION:
Ph.D, Computer Science, Stanford University, Stanford, CA, 2007
M.Sc., Computer Science, Stanford University, Stanford, CA, 2002
B.S.E., Computer Science, Princeton University, Princeton, NJ, 2000

PROFESSIONAL EXPERIENCE: Assistant Professor, Department of Systems Engineering & Engineering Management, The Chinese University of hong Kong, 2007-present

Dr. So’s current research focuses on the interplay between optimization theory and various design issues in signal processing, communications and wireless networks. The broad goals of his research program are: (i) to develop new mathematical models and solution methods for optimizing the performance of wireless communication systems, and (ii) to gain a solid understanding of newly developed or existing systems through theoretical analysis.

He has published 10 journal papers, including 1 in IEEE TSP, 1 in IEEE SPM and 1 in IEEE JSAC in the last 2 years, and 18 conference papers. He received the 2010 Optimization Prize for Young Researchers from the Optimization Society of the Institute for Operations Research and the Management Sciences (INFORMS), the 2010 Young Research Award from The Chinese University of Hong Kong, as well as the 2008 Exemplary Teaching Award and 2011 Dean’s Exemplary Teaching Award from the Faculty of Engineering of The Chinese University of Hong Kong. He currently serves on the editorial boards of Optimization Methods and Software and Mathematics of Operations Research.
Dr. So will cover the EDICS: DSP, MLR, SAM, SPC, MSP, SEN and WIN.

Brief Bio - Yuichi Tanaka received the B.E., M.E. and Ph.D. degrees in electrical engineering from Keio University, Yokohama, Japan, in 2003, 2005 and 2007, respectively. He was a Postdoctoral Scholar at Keio University, Yokohama, Japan, from 2007 to 2008, and supported by the Japan Society for the Promotion of Science (JSPS). From 2006 to 2008, he was also a visiting scholar at the University of California, San Diego. From 2008 to 2012, he was an Assistant Professor in the Department of Information Science, Utsunomiya University, Tochigi, Japan. Since 2012, he has been an Associate Professor in Graduate School of BASE, Tokyo University of Agriculture and Technology, Tokyo, Japan. His current research interests are in the field of multidimensional signal processing which includes: graph signal processing, image and video processing with computer vision techniques, distributed video coding, objective quality metric, and effective spatial-frequency transform design.

Dr. Tanaka is an elected member of the APSIPA Image, Video and Multimedia Technical Committee. He was a recipient of the Yasujiro Niwa Outstanding Paper Award in 2010, the TELECOM System Technology Award in 2011, and Ando Incentive Prize for the Study of Electronics in 2015. He also received Best Paper Awards in APSIPA ASC 2014 and 2015.

Brief Bio - Dr. Wee Peng Tay received the B.S. degree in Electrical Engineering and Mathematics, and the M.S. degree in Electrical Engineering from Stanford University, Stanford, CA, USA, in 2002. He received the Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2008. He is currently an Assistant Professor in the School of Electrical and Electronic Engineering at Nanyang Technological University, Singapore. He conducts research in the general area of statistical signal processing and distributed information processing. The broad goals of his research program are: (i) to develop innovative techniques for large scale and distributed signal processing, inference and learning over networks; (ii) to develop methods for analyzing and processing information and signals in social networks; and (iii) to develop practical algorithms for localization, navigation, and tracking using wireless sensor networks.

Dr. Tay received the Singapore Technologies Scholarship in 1998, the Stanford University President's Award in 1999, the Frederick Emmons Terman Engineering Scholastic Award in 2002, and the Tan Chin Tuan Exchange Fellowship in 2015. He is the coauthor of the best student paper award at the Asilomar conference on Signals, Systems, and Computers in 2012. He currently serves on the MLSP TC of the IEEE Signal Processing Society, and as the chair of DSNIG in IEEE MMTC. He has also served as a technical program committee member for various international conferences.

Brief Bio - Jean-Yves Tourneret (SM’08) received the ingénieur degree in electrical engineering from the Ecole Nationale Supérieure d’Electronique, d’Electrotechnique, d’Informatique, d’Hydraulique et des Télécommunications (ENSEEIHT) de Toulouse in 1989 and the Ph.D. degree from the National Polytechnic Institute from Toulouse in 1992. He is currently a professor in the University of Toulouse (ENSEEIHT) and a member of the IRIT laboratory (UMR 5505 of the CNRS). His research activities are centered around statistical signal and image processing with a particular interest to Bayesian and Markov chain Monte Carlo (MCMC) methods. He has been involved in the organization of several conferences including the European conference on signal processing EUSIPCO'02 (program chair), the international conference ICASSP’06 (plenaries), the statistical signal processing workshop SSP’12 (international liaisons), the International Workshop on Computational Advances in Multi-Sensor Adaptive Processing CAMSAP 2013 (local arrangements), the statistical signal processing workshop SSP'2014 (special sessions), the workshop on machine learning for signal processing MLSP’2014 (special sessions). He has been the general chair of the CIMI workshop on optimization and statistics in image processing hold in Toulouse in 2013 (with F. Malgouyres and D. Kouamé) and of the International Workshop on Computational Advances in Multi-Sensor Adaptive Processing CAMSAP 2015 (with P. Djuric). He has been a member of different technical committees including the Signal Processing Theory and Methods (SPTM) committee of the IEEE Signal Processing Society (2001-2007, 2010-present). He has been serving as an associate editor for the IEEE Transactions on Signal Processing (2008-2011) and for the EURASIP journal on Signal Processing (since july 2013).

Brief Bio - Javier Via received his Telecommunication Engineer Degree and his Ph.D. in electrical engineering from the University of Cantabria, Spain in 2002 and 2007, respectively. In 2002 he joined the Department of Communications Engineering, University of Cantabria, Spain, where he is currently Associate Professor. He has spent visiting periods at Stanford University, Hong Kong University of Science and Technology, and at the State University of New York at Buffalo. Dr. Vía is co-author of more than 25 papers in international journals. He has actively participated in several European and Spanish research projects, and has been part of the technical committee of several IEEE international conferences, as well as organizer of some special sessions and tutorials related to his research topics. His current research interests include statistical signal processing and its application to wireless communications.

Brief Bio - Wenwu Wang (M02-SM11) was born in Anhui, China. He received the B.Sc. degree in automatic control in 1997, the M.E. degree in control science and control engineering in 2000, and the Ph.D. degree in navigation guidance and control in 2002, all from Harbin Engineering University, Harbin, China. He then joined Kings College, London, U.K., in May 2002, as a postdoctoral research associate and transferred to Cardiff University, Cardiff, U.K., in January 2004, where he worked in the area of blind signal processing. In May 2005, he joined the Tao Group Ltd. (now Antix Labs Ltd.), Reading, U.K., as a DSP engineer working on algorithm design and implementation for real-time and embedded audio and visual systems. In September 2006, he joined Creative Labs, Ltd., Egham, U.K., as an R&D engineer, working on 3D spatial audio for mobile devices. Since May 2007, he has been with the Centre for Vision Speech and Signal Processing, University of Surrey, Guildford, U.K., where he is currently a Senior Lecturer of Signal Processing, and a Co-Director of the Machine Audition Lab. He is a member of the Ministry of Defence (MoD) University Defence Research Collaboration (UDRC) in Signal Processing (since 2009), a member of the BBC Audio Research Partnership (since 2011), and an associate member of Surrey Centre for Cyber Security (since 2014). During spring 2008, he has been a visiting scholar at the Perception and Neurodynamics Lab and the Center for Cognitive Science, The Ohio State University.

His current research interests include blind signal processing, sparse signal processing, audio-visual signal processing, machine learning and perception, machine audition (listening), and statistical anomaly detection. He has been a Principal Investigator or Co-Investigator on a number of research grants funded by the U.K. governmental bodies such as the Engineering and Physical Sciences Research Council (EPSRC), Ministry of Defence (MoD), Defence Science and Technology Laboratory (Dstl), Home Office (HO), and the Royal Academy of Engineering (RAEng), as well as the U.K. industry such as BBC and Samsung (U.K.). He has (co-)authored over 130 publications in these areas, including two books, namely, Machine Audition: Principles, Algorithms and Systems by IGI Global published in 2010 and Blind Source Separation: Advances in Theory Algorithms and Applications by Springer in 2014. He is an associate editor of The Scientific World Journal: Signal Processing. He has also been a chair, session chair or a technical/program committee member on a number of international conferences including Local Arrangement Co-Chair of MLSP 2013, Session Chair of ICASSP 2012, Area and Session Chair of EUSIPCO 2012, Track Chair and Publicity Co-Chair of SSP 2009. He was a Tutorial Co-Speaker on ICASSP 2013.

Brief Bio - EDUCATION:
Ph.D, Electrical and Computer Engineering, Auburn University, Auburn, AL, 2004
M.Sc., Electrical Engineering, Fudan University, Shanghai, China, 2000
B.Sc., Electrical Engineering, Fudan University, Shanghai, China, 1997

PROFESSIONAL EXPERIENCE:
Associate Professor, Electrical Engineering, Florida Atlantic University, 2010 to present
Associate Professor, Electrical Engineering, Florida Atlantic University, 2006 to 2010
Postdoc Associate, Electrical and Computer Engineering, University of Minnesota, 2004 to 2006

RESEARCH INTERESTS: Dr. Xin Wang conducts research in the general area of communications, networking, and signal processing. The broad goals of his research program are: (i) to develop innovative techniques for optimizing the quality and capacity of wireless communication systems; and (ii) to develop practical engineering solutions to achieve the optimal performance metric of wireless transmission. His recent research interests include stochastic network optimization, energy-harvesting and green communications, smart-grid, cross-layer optimizations, and robust MIMO beamforming and precoding designs.

He has published 35 IEEE journal papers, including 5 in IEEE TSP in the last 5 years, and 62 conference papers. He is an IEEE senior member, and has served as an Editor of IEEE Transactions on Vehicular Technology and an Associate Editor of IEEE Signal Processing Letters.

Brief Bio - EDUCATION:
Postdoc, Electrical Engineering, University of Michigan, USA, 2008-2010.
Ph.D, Electrical Engineering, Technion, Israel, 2007
M.Sc., Electrical Engineering, Tel Aviv University, Israel, 2002
B.Sc., Electrical Engineering, Tel Aviv University, Israel, 2000

PROFESSIONAL EXPERIENCE:
Senior Lecturer (equivalent to Assistant Professor), Hebrew University, Israel, 2010 to present

RESEARCH INTERESTS:
Dr. Wiesel conducts research in the general area of statistical signal processing and convex optimization, and their application to the design and analysis of wireless communication systems, sensor networks, radar systems and smart grids. In particular, he is interested in graphical models, distributed signal processing and generalized notions of convexity over manifolds.

He has published 21 journal papers, including 13 in IEEE TSP in the last 11 years, and 40 conference papers. He received many Awards including IEEESPAWC Best Student Paper Award in 2005, IEEE TSP Young Author Best Paper Award in 2006, and AISTATS Notable Paper Award in 2013.

Dr. Wiesel will cover the EDICS: OPT and SSP

Brief Bio - EDUCATION:
- Ph.D, Electrical and Computer Engineering, Instituto Superior Técnico (IST), University of Lisbon, Portugal, 2002;
- M.Sc., Electrical and Computer Engineering, IST, University of Lisbon, Portugal, 1997;
- Licenciatura (5 year degree), Electrical and Computer Engineering, IST, University of Lisbon, Portugal, 1994.

PROFESSIONAL EXPERIENCE:
- Assistant Professor, Department of Electrical and Computer Engineering, IST, University of Lisbon, Portugal, 2002 to present;
- Assistant, Department of Electrical and Computer Engineering, IST, University of Lisbon, Portugal, 1997-2002;
- Monitor, Department of Mathematics, IST, University of Lisbon, Portugal, 1993-1994.

RESEARCH INTERESTS:
Dr. João Xavier is interested in distributed signal processing for networks of cooperative agents. Using tools from optimization, dynamical systems, and probability, he aims to: (1) understand the fundamental performance limits on detection and estimation imposed by network topology and communication protocols; (2) investigate how network deterministic behaviors emerge from random local interactions; and (3) design resource-efficient algorithms to serve key decentralized applications as network localization, cognitive radio, and large-scale collaborative learning.

He has published 33 journal papers, including 19 in IEEE TSP or IEEE JSTSP (14 out of these 19 in the last 5 years) and 83 conference papers. He received the Portugal IBM Scientific Prize in 2003 and the DoCoMo USA labs innovative paper award at the IEEE Conference on Image Processing ICIP’2008.

Brief Bio - Dr. Pengfei Xia received B.S. and M.S. degrees in Electrical Engineering from the University of Science and Technology of China (USTC), Hefei, China, and Ph.D. degree in Electrical and Computer Engineering from University of Minnesota. He is affiliated with Interdigital Communications Inc., where he is a Member of Technical Staff/Senior Manager.

His research interests lie in the general areas of signal processing and communications, including multiple-input multiple-output (MIMO) wireless communications, millimeter wave communications, transmit beamforming, transceiver designs, adaptive modulation, multicarrier transmissions, space-time codes, LTE and Wi-Fi networks. Dr. Xia has been actively contributing to 3GPP LTE-A research, technology development and RAN standardizations, IEEE 802.11, IEEE 802.15, 60 GHz Wireless research, technology development and standardizations. He has published more than 50 international journal and conference papers and has more than 60 United States patents (applications). A number of his technical proposals have been adopted by various international standard specifications, including LTE Rel. 10 specifications, IEEE 802.11/15/16 specifications, and WirelessHD 1.0 specifications. He has also co-edited one of the first technical books in short range 60 GHz wireless communications.

He received the IEEE Signal Processing Society Best Paper Award in 2012. Currently, he is a Senior Member of IEEE, a Member of the IEEE Signal Processing for Communications and Networking Technical Committee, and Associate Editor for IEEE Transactions on Signal Processing.

Brief Bio - Zhiyuan Yan (S’00-M’03-SM’08) received the B.E. degree in electronic engineering from Tsinghua University, Beijing, China, in 1995 and the M.S. and Ph.D. degrees, both in electrical engineering, from the University of Illinois, Urbana, in 1999 and 2003, respectively.

During summer 2000 and 2002, He was a Research Intern with Nokia Research Center, Irving, Texas. In August 2003, he joined the Electrical and Computer Engineering Department of Lehigh University, where he is an Assistant Professor. His current research interests are in coding theory, signal processing, wireless communications and VLSI implementations of communication and signal processing systems, and he has published over 70 technical papers in refereed journals and conference proceedings.

Dr. Yan served as a Technical Program Committee Co-Chair and a General Co-Chair for ACM Great Lakes Symposium on VLSI in 2007 and 2008, respectively. He is an Associate Editor for the IEEE Communications Letters and the Journal of Signal Processing Systems. He is also a recipient of the National Science Foundation (NSF) Faculty Early Career Development (CAREER) award in 2011.

Brief Bio - Dr. Liuqing Yang received her Ms and Ph.D. degrees in Electrical and Computer Engineering from the University of Minnesota, Minneapolis, in 2002 and 2004, respectively. She has been an Assistant and Associate professor at University of Florida during 2004 and 2010, and joined Colorado State University afterwards, where she is presently a Professor.

Her general interests are in signal processing with applications to communications, networking and power systems – subjects on which she has published more than 235 journal and conference papers, 3 book chapters and 1 book. Dr. Yang was the recipient of the Best Dissertation Award in the Physical Sciences & Engineering from the University of Minnesota in 2004, the Best Paper Award at the IEEE ICUWB’06, ICCC’13, ITSC’14, and Globecom’14, the ONR Young Investigator Program (YIP) award in 2007, and the NSF Faculty Early Career Development (CAREER) award in 2009. Dr. Yang is an IEEE Fellow. She has served as an active reviewer for more than 10 journals, as TPC chair/member for a number of conferences, and as an associate editor for IEEE Transactions on Signal Processing, IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Transactions on Intelligent Transportation Systems, IEEE Intelligent Systems, and PHYCOM: Physical Communication.

Brief Bio - Arie Yeredor (M’99–SM’02) received the B.Sc. (summa cum laude) and Ph.D. degrees in electrical engineering from Tel-Aviv University (TAU), Tel-Aviv, Israel, in 1984 and 1997, respectively. He is currently an Associate Professor with the School of Electrical Engineering, Department of Electrical Engineering—Systems, TAU, where his research and teaching areas are in statistical and digital signal processing and estimation theory. He also held a consulting position in these research areas with NICE Systems, Inc., Ra’anana, Israel, from 1990 to 2015. In 2015-16 he has been on Sabbatical Leave from TAU as a visiting professor at the Georgia Institute of Technology, Atlanta, GA, USA. Prof. Yeredor previously served as an Associate Editor for the IEEE SIGNAL PROCESSING LETTERS, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—PART II, and IEEE TRANSACTIONS ON SIGNAL PROCESSING, and also served as a Guest Editor for IEEE SIGNAL PROCESSING MAGAZINE’s Special Issue on Source Separation and Applications. He served as Technical Co-Chair of The 3rd International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP'2009), as General Co-Chair of The 10th International Conference on Latent Variables Analysis and Signal Separation (LVA/ICA2012) and as Technical Co-Chair of LVA/ICA2015. He has been awarded the yearly Best Lecturer of the Faculty of Engineering Award (at TAU) seven times. He serves as a member of the IEEE Signal Processing Society’s Signal Processing Theory and Methods (SPTM) Technical Committee, and also serves as Chair of the Signal Processing chapter of IEEE Israel Section.

Brief Bio - EDUCATION:
Ph.D, Applied and Computational Mathematics, Princeton University, Princeton, NJ, 2001
B.Sc., Electrical and Electronics Engineering, Bogazici University, Istanbul, Turkey, 1997
B.Sc., Mathematics, Bogazici University, Istanbul, Turkey, 1997.

PROFESSIONAL EXPERIENCE:
Associate Professor, Mathematics, University of British Columbia, 2009 to present
Assistant Professor, Mathematics, University of British Columbia, 2004-2009

Dr. Yilmaz conducts research on the mathematics of digital technology and addresses cutting-edge practical problems like acquisition and digitization (quantization) of signals, separation of speech signals using a few microphone recordings, and seismic signal processing. Broadly his research falls in the areas of computational harmonic analysis, mathematical signal processing, and information theory, focusing on (i) approximation theory for quantization of redundant expansions, (ii) blind source separation, and (iii) compressive sensing. His accomplishments include fundamental results regarding quantization of redundant expansions, which provide machinery for efficient compressed sensing quantization. Regarding blind source separation, he devised the algorithm DUET that solves the “cocktail party problem”, i.e., DUET separates several speech signals from only two recordings by leveraging favorable properties of Gabor expansions. His recent work is on compressed sensing, both on the mathematical theory and practical aspects, e.g., applications to seismic imaging.

He has published 21 journal papers, including two in IEEE TSP and one in IEEE Signal Processing Magazine, and 20 conference papers. He is the recipient of an NSERC Discovery Accelerator Supplement Award. Dr. Yilmaz is a member of the Institue for Applied Mathematics (IAM) and Institute for Computing, Information and Cognitive Systems (ICICS) at the University of British Columbia.

Dr. Yilmaz will cover the EDICS: all in DSP and various EDICS in OPT, MLR, SAM, SPC, and SSP.

Brief Bio - Masahiro Yukawa received the B.E., M.E., and Ph.D. degrees from Tokyo Institute of Technology in 2002, 2004, and 2006, respectively. From October 2006 to March 2007, he was a Visiting Researcher at the Department of Electronics, the University of York, U.K. From April 2007 to March 2008, he was with the Next Generation Mobile Communications Laboratory at RIKEN, Saitama, Japan, and, from April 2008 to March 2010, he was with the Brain Science Institute at RIKEN. From August to November 2008, he was a Guest Researcher at the Associate Institute for Signal Processing, the Technical University of Munich, Germany. He was an Associate Professor with the Department of Electrical and Electronic Engineering, Niigata University, Japan, from April 2010 to March 2013. He is currently an Assistant Professor with the Department of Electronics and Electrical Engineering, Keio University, Japan. His research interests include mathematical signal processing, machine learning, and optimization.

From April 2005 to March 2007, he was a recipient of the Research Fellowship of the Japan Society for the Promotion of Science (JSPS). He received several awards including The Young Scientists' Prize, the Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, Japan, in 2014, The TELECOM System Technology Award in 2014, and The Excellent Paper Award from the Institute of Electrical, Information and Communication Engineers (IEICE) in 2006. He is a member of IEEE and IEICE.

Brief Bio - Rui Zhang received the B.Eng. (First-Class Hons.) and M.Eng. degrees from the National University of Singapore in 2000 and 2001, respectively, and the Ph.D. degree from the Stanford University, Stanford, CA USA, in 2007, all in electrical engineering. Since 2007, he has worked with the Institute for Infocomm Research, A-STAR, Singapore, where he is now a Senior Research Scientist. Since 2010, he has joined the Department of Electrical and Computer Engineering of the National University of Singapore as an Assistant Professor. His current research interests include multiuser MIMO, cognitive radio, cooperative communication, energy efficient and energy harvesting wireless communication, wireless information and power transfer, smart grid, and optimization theory. He has authored/coauthored over 140 internationally refereed journal and conference papers. He was the co-recipient of the Best Paper Award from the IEEE PIMRC in 2005. He was the recipient of the 6th IEEE ComSoc Asia-Pacific Best Young Researcher Award in 2010, and the Young Investigator Award of the National University of Singapore in 2011. He is now an elected member of IEEE Signal Processing Society SPCOM and SAM Technical Committees, and an editor for the IEEE Transactions on Wireless Communications and the IEEE Transactions on Signal Processing.

Brief Bio - Yimin Daniel Zhang received his Ph.D. in Engineering from the University of Tsukuba, Japan. He is currently an Associate Professor at the Department of Electrical and Computer Engineering, Temple University. Prior to joining Temple, he was a Research Professor at the Center for Advanced Communications, Villanova University. His general research interests lie in the areas of statistical signal and array processing, time-frequency analysis, compressive sensing, and convex optimization for applications in wireless communications, radar, and navigation. Dr. Zhang has authored more than 260 journal and conference papers and 11 book chapters. He is an Associate Editor for IEEE Transactions on Signal Processing, an Editor for Signal Processing, and a member of the SAM Technical Committee of the IEEE Signal Processing Society.
Dr. Zhang will cover EDICS SAM, RDS, and DSP-TFSR.