Distinguished Lecturers
2016 Distinguished Lecturers
1 January 2016 - 31 December 2017
Allebach, Jan P. >> Full Bio and Contact Information << Collapse
Jan P. Allebach (LF) earned his BSEE from the University of Delaware (1968-1972) and his Ph.D. from Princeton University (1972-1976). He was a faculty member at the University of Delaware from 1976 to 1983. Since 1983, he has been at Purdue University, where he is currently Hewlett-Packard Distinguished Professor of Electrical and Computer Engineering with courtesy appointments in Computer Science and Psychological Sciences.
Prof. Allebach is a Fellow of IEEE (1991), IS&T (The Society for Imaging Science and Technology) (1996), and SPIE (2007). He is recipient of the Senior Best Paper Award from the IEEE Signal Processing Society (1989) and the Bowman Award from IS&T (1998). He was named Electronic Imaging Scientist of the Year by SPIE and IS&T (2004), and received Honorary Membership from IS&T (2007), which is its highest award. He received the Daniel E. Noble Award for Emerging Technologies an IEEE Field Award (2013). He was elected to membership in the National Academy of Engineering (2014), and the National Academy of Inventors (2015). From Purdue University, he has received ten different awards for teaching, research, and mentorship.
Prof. Allebach was an Associate Editor, IEEE Transactions on Acoustics, Speech, and Signal Processing (1988-1990) and the IEEE Transactions on Image Processing (1997-1999); Member (1986-1995) and later Chair (1990-1991), Image and Multidimensional Signal Processing Technical Committee; Member, Information Forensics and Security Technical Committee (2008-2011); Secretary, SPS Board of Governors (1992-1995) and later as an elected member (1996-1998); Co-Technical Program Chair, ICASSP-93 (1993); General Co-Chair, Ninth IMDSP Workshop held in Belize City (1996). Prof. Allebach was also a past Distinguished Lecturer, IEEE Signal Processing Society (1994-1995).
Prof. Allebach has published 105 refereed journal articles and 349 conference papers. He is listed as a co-inventor on 31 issued U.S. patents and several more pending patent applications. Printing and document imaging have been central themes of his research; and he has made many seminal contributions in these areas.
Jan P. Allebach
School of Electrical and Computer Engineering
465 Northwestern Avenue
West Lafayette, IN 47907-2035
P: +1 765 494 3554 (admin Camille Hamelman)
E: allebach@purdue.edu
Lecture Topics
- Digital Printing: the Transformation of a 2,000-year Old Technology and What It Means to You
- Embedding Data in Printed Documents at the Printer Mechanism Level
- The Intertwined Roles of Semantics, Aesthetics, and Quality in Color Document Imaging
Bresler, Yoram >> Full Bio and Contact Information << Collapse
Yoram Bresler (F) received the B.Sc. (cum laude) and M.Sc. degrees from the Technion, Israel Institute of Technology, (1974 and 1981 respectively); the Ph.D degree from Stanford University, (1986), all in Electrical Engineering. Since 1987, he has been on the faculty at the University of Illinois, Urbana-Champaign, where he is currently Professor, Department of Electrical and Computer Engineering and the Department of Bioengineering, and at the Coordinated Science Laboratory. In 2003, Dr. Bresler co-founded InstaRecon, Inc., based in Champaign, Illinois, to commercialize breakthrough technology for tomographic reconstruction developed in his academic research. He currently serves as the company’s President and Chief Technology Officer.
Dr. Bresler was elected IEEE Fellow in 1999 ”for contributions to computer-based imaging and sensor array processing,” and in 2010, Fellow of the American Institute for Medical and Biomedical Engineering (AIMBE), ”for pioneering contributions to fast tomographic reconstruction algorithms and fundamental contributions to sampling theory for fast dynamic imaging.” He holds 11 US patents and more than 20 international patents, and has received the IEEE SPS Best Paper Award (1988) and (1989). He is the recipient of a NSF Presidential Young Investigator Award (1991); the Technion (Israel Inst. of Technology) Fellowship (1995); and the Xerox Senior Award for Faculty Research (1998). He was named a University of Illinois Scholar (1999); appointed as Associate, the Center for Advanced Study of the University (2001-2002); and Faculty Fellow, the NCSA (National Center for Super Computing Applications) (2006).
Dr. Bresler has served as Associate Editor, IEEE Transactions on Signal Processing (1992-1993); on Editorial Boards, Machine Vision and Applications (1987-2006), and the SIAM Journal on Imaging Science (2007-2013); on the Senior Editorial Board, IEEE Journal on Selected Topics in Signal Processing (2006-2013); and he was Guest co-Editor, IEEE Transactions on Medical Imaging special issue on Compressed Sensing. He was a member, IEEE Image and Multidimensional Signal Processing Technical Committee (1993 – 1998) and the IEEE Bio Imaging and Signal Processing Technical Committee (2005-2009), and served on the IEEE SPS Awards Board (2003-2006).
Dr. Bresler’s interests are in multi-dimensional and statistical signal processing and their applications to inverse problems in imaging, and in particular compressed sensing, which he introduced with his students in the mid 90’s under the monikers of “spectrum-blind sampling,” and “image compression on the fly,” as well as computed tomography, magnetic resonance imaging, and learning-based signal processing.
Yoram Bresler
Professor, Dept. Electrical and Computer Engineering
University of Illinois at Urbana-Champaign
112 CSL, 1308 West Main St. Urbana, IL 61801
P: +1-217-244-9660
E: ybresler@illinois.edu
http://www.ifp.illinois.edu/~yoram/
Lecture Topics
- The Invention of Compressive Sampling
- Breaking the Speed Barrier in Tomography
- Learning Sparsifying Transforms for Signal, Image, and Video Processing
- Learning Sparse Representations for Blind Compressed Sensing in MRI and CT
- Blind Signal Processing: Sparse Signal Reconstruction in Bilinear Inverse Problems
Milanfar, Peyman >> Full Bio and Contact Information << Collapse
Peyman Milanfar (F) received his undergraduate education in electrical engineering and mathematics from the University of California, Berkeley in 1988, and the MS and PhD degrees in electrical engineering from the Massachusetts Institute of Technology, in 1990 and 1993 respectively. He was a Professor of EE at UC Santa Cruz (1999-2014), where he is now a visiting faculty. He was Associate Dean for Research, School of Engineering (2010-2012). He was on leave at Google-x, from 2012-2014, where he helped develop the imaging pipeline for Google Glass. He currently leads the Computational Imaging team in Google Research.
Dr. Milanfar is an IEEE Fellow “for contributions to inverse problems and super-resolution in imaging." He was Member, IEEE Signal Processing Society Awards Board (2011-2013); Editorial Board Member, SIAM Journal on Imaging Science (2010); Editor, “Super-resolution Imaging”, book published by CRC press (2009); Editorial Board Member, Image and Vision Computing (2009-2011); Member, IEEE Image, Video, Multidimensional Signal Processing (IVMSP) Technical Committee (2007-2011); Associate Editor, IEEE Transactions on Image Processing (2007-2010); Guest Editor, Journal of Applied Signal Processing, Special Issue on Super-resolution Imaging (2004); Outstanding Reviewer of the Year, IEEE Transactions on Image Processing (2006); Paper identified by Institute of Scientific Information as a leader of “emerging research front” in imaging (2005); Graduate Student Morteza Shahram Winner of the Best Student Paper at ICASSP (2005); IEEE Signal Processing Society Best Paper Award (2010).
Dr. Milanfar holds 8 US patents, several of which are commercially licensed. He has been a keynote speaker at numerous international conferences including PCS, SPIE, and ICME; and along with his students, has won several best paper awards from the IEEE Signal Processing Society.
Peyman Milanfar
Google Inc.
1600 Amphitheater Blvd.
Mountain View, CA 94043
P: +1 650 332-2311
E: peyman.milanfar@gmail.com
Lecture Topics
- Computational Imaging: From Photons to Photos
- A Tour of Modern Image Filtering
- Graph Affinity-Based Image Processing
Ney, Hermann >> Full Bio and Contact Information << Collapse
Hermann Ney (F) is a full professor of computer science at RWTH Aachen University, Aachen, Germany. He received the Diploma degree in physics from Goettingen University, Goettingen, Germany (1977), and the Dr.-Ing. degree in electrical engineering, Braunschweig University of Technology, Braunschweig, Germany (1982). In 1977, he joined Philips Research Germany, and since 1985, he headed the speech recognition group at Philips that pioneered the first prototype systems for large vocabulary continuous speech recognition and spoken dialogue systems. He was a visiting scientist, Bell Laboratories, Murray Hill, NJ (October 1988 to October 1989) and joined the computer science department of RWTH Aachen University (July 1993). Since then, he has been working on a large number of topics in automatic speech recognition and machine translation using statistical pattern recognition and machine learning.
Dr. Ney's professional activities include: Executive Board, Association of Computational Linguistics (2014-2016); Co-Chair, Interspeech 2015; Senior Area Editor, IEEE-ACM Transactions on Audio, Speech and Language Processing (2014-2016); IEEE SPS Speech and Language Processing Technical Committee (2012-2014); Co-Chair Plenary Sessions, ICASSP 2009; Co-Chair, IEEE-ACL Workshop on Spoken Language Technology (2006); Editor, ACM Transactions on Speech and Language Processing (2005-2007); Associate Editor, IEEE Transactions on Speech and Audio Processing (2001-2003); IEEE SPS Speech Processing Technical Committee (1995-2000); Editorial Board Member, Computer, Speech and Language (1993-2001); Editorial Board, Speech Communication (1993-2001); Technical Committee Member, German Association for Pattern Recognition (DAGM) (2003-2006); Executive Committee Member, German Section IEEE (1992-1998).
Dr Ney is both an IEEE Fellow and Fellow, International Speech Communication Association. He was the recipient of the Technical Achievement Award (2005); Distinguished Lecturer, International Speech Communication Association (2012-2013); awarded a senior DIGITEO chair at LIMIS/CNRS in Paris, France (2011-2013); and received the Award of Honour from the International Association of Machine Translation (2013).
Dr. Ney's main research interests are concerned with the application of machine learning methods to speech recognition and machine translation.
Hermann Ney
Lehrstuhl Informatik 6
RWTH Aachen University
Ahornstrasse 55
D-52074 Aachen, Germany
P: ++49 (241) 8021600
E: ney@cs.rwth-aachen.de
Lecture Topics
- From Speech Recognition (ASR) to Machine Translation (MT) - What MT has learnt from ASR
- Speech and Language Processing: Achievements and Challenges
- The Mathematical Machinery of Speech and Language Processing
- Discriminative Training and Log-Linear Models in ASR
- Generative and Discriminative Modelling in Speech and Natural Language Processing
- The Role of Bayes Decision Rule in Speech Recognition and Natural Language Processing
- Error Bounds on Bayes Classification Error in Speech and Language Processing
Smaragdis, Paris >> Full Bio and Contact Information << Collapse
Paris Smaragdis (F) is faculty at the Computer Science and Electrical and Computer Engineering departments at the University of Illinois at Urbana-Champaign, and a Senior Research Scientist at Adobe Research. He completed his Masters (1997), Ph.D. (2001) and postdoctoral studies (2002) at the Machine Listening Group, MIT Media Lab. He was previously a research scientist at Mitsubishi Electric Research (MERL).
Prof. Smaragdis was selected by MIT’s Technology Review as one of the year’s top young technology innovators (TR35) for his work on machine listening, in 2006. In 2015, he was elevated to IEEE Fellow “for contributions in audio source separation and audio processing”. He has been elected as a full member, Acoustical Society of America (2008), and recipient of the C.W. Gear Outstanding Junior Faculty Award (2015), an NSF CAREER grant, and multiple teaching awards at the University of Illinois.
Prof. Smaragdis was Chair, IEEE Machine Learning for Signal Processing Technical Committee (2013-2014); Chair, LVA/ICA conference steering committee (2012-2015); Member, IEEE Machine Learning for Signal Processing Technical Committee (2010-2015); Member, Audio and Acoustic Signal Processing Technical Committee (2011-present); Associate Editor, IEEE Signal Processing Letters (2012-present); and Area Editor, IEEE Transactions for Signal Processing (2015-present). Prof. Smaragdis was an organizer of the GLOBALSIP Symposium on Machine Learning for Speech Processing (2014); General Co-Chair, Machine Learning for Signal Processing Workshop (2014); Technical Chair, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (2011); and an organizer of multiple special sessions and tutorials at international conferences.
Prof. Smaragdis’ research is on applications of machine learning techniques on signal processing problems, especially as they apply to the analysis of sound mixtures. He has more than 120 publications in the areas of audio signal processing and machine learning, and holds 59 patents internationally.
Paris Smaragdis
Siebel Center for Computer Science
Office 3231, MC-258
201 N. Goodwin Ave
Urbana IL 61801, USA
P: +1 217-265-6893 (x56893)
F: +1 217-265-4035
E: paris@illinois.edu
Lecture Topics
- Non-Negative Models for Source Separation
- Machine Learning for Speech Enhancement
- Machine Listening: Making Computers that Understand Sound
Zerubia, Josiane >> Full Bio and Contact Information << Collapse
Josiane Zerubia (F) has been a permanent research scientist at INRIA since 1989 and Director of Research since July 1995. She was head of the PASTIS Remote Sensing Laboratory (INRIA Sophia-Antipolis) (mid-1995-1997) and of the Ariana Research Group (INRIA/CNRS/University of Nice) (1998-2011). Since January 2012, she has been head of Ayin Research Group (INRIA-SAM) dedicated to models of spatio-temporal structure for high resolution image processing with a focus on remote sensing and skincare imaging. She has been Professor, SUPAERO (ISAE) in Toulouse since 1999.
Prof. Zerubia was also with the Signal and Image Processing Institute of the University of Southern California as a postdoc. She also worked as a researcher, LASSY (University of Nice/CNRS) (1984-1988) and in the Research Laboratory of Hewlett Packard in France and in Palo-Alto, CA (1982-1984). She received the MSc degree from the Department of Electrical Engineering at ENSIEG, Grenoble, France in 1981, the Doctor of Engineering degree, her PhD and her `Habilitation', in 1986, 1988, and 1994 respectively, all from the University of Nice Sophia-Antipolis, France.
Prof. Zerubia is an IEEE Fellow. She was a Member, IEEE Image and Multidimensional Signal Processing Technical Committee (1997-2003); Member, IEEE Bio Imaging and Signal Processing Technical Committee (2004-2012); Member, IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (2008-2013); Associate Editor, IEEE Transactions on Image Processing (1998-2002); Area Editor, IEEE Transactions on Image Processing (2003-2006), Guest Co-Editor, special issue of IEEE Transactions on PAMI (2003); Editorial Board Member, IJCV (2004-March 2013); Member-at-Large, SPS Board of Governors (2002-2004); Editorial Board Member, French Society for Photogrammetry and Remote Sensing (SFPT) (1998-Present), Foundation and Trends in Signal Processing (2007-Present), Member-at-Large, Board of Governors of the SFPT (September 2014-Present); and Associate Editor, on-line resource « Earthzine » (IEEE CEO and GEOSS).
Prof. Zerubia was Co-Chair of two workshops on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2001 and EMMCVPR 2003); Co-Chair, Workshop on Image Processing and Related Mathematical Fields (IPRM 2002); Technical Program Chair, Workshop on Photogrammetry and Remote Sensing for Urban Areas (2003); Co-Chair, special sessions at IEEE ICASSP (2006) and IEEE ISBI (2008); Publicity Chair, IEEE ICIP (2011); Tutorial Co-Chair, IEEE ICIP (2014); General Co-Chair, Workshop Earthvision at IEEE CVPR (2015); Organizing Committee Member and Plenary Talk Co-Chair, IEEE-EURASIP (EUSIPCO 2015).
Prof. Zerubia’s main research interest is in image processing using probabilistic models. She also works on parameter estimation, statistical learning and optimization techniques.
Josiane Zerubia
INRIA Sophia-Antipolis Méditerranée
BP 93, 2004 Route des Lucioles
06902 Sophia-Antipolis Cedex – France
P: +33 4 92 38 78 65
F: +33 4 92 38 78 58
E: Josiane.Zerubia@inria.fr
https://team.inria.fr/ayin/
Lecture Topics
- Marked Point Processes For Object Detection and Tracking in High Resolution Images: Applications to Remote Sensing and Biology
- Marked Point Processes for Object Detection in High Resolution Images: Applications to Earth Observation and Cartography
- High Resolution Optical and SAR Satellite Image Processing for Disaster Management Using Hierarchical MRFS
Preferred Geographic Coverage of the Lectures:
Europe till April 2016 and after October 2016, USA/Canada from May till October 2016.
2015 Distinguished Lecturers
1 January 2015 - 31 December 2016
Hermansky, Hynek >> Full Bio and Contact Information << Collapse
Hynek Hermansky (F)received his Doctor of Engineering, Electrical Engineering, University of Tokyo (1979-1983); Doctoral Graduate Studies, Technical University Brno, Czech Republic (1973-1978); and Ing. (MS equivalent), Technical University Brno, Czech Republic (1967-1972).
Dr. Hermansky’s appointments include: Julian S. Smith Professor in Electrical Engineering, Department of Electrical and Computer Engineering, and Director of the Center for Language and Speech Processing, Johns Hopkins University, Baltimore, MD (2012-present); Research Professor (on leave of absence), Brno University of Technology, Czech Republic (2000-present); External Fellow, International Computer Science Institute, Berkeley, CA (1995-Present); Professor, Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD (2008-2012); Director of Research, IDIAP Martigny, Switzerland (2003-2008); Professor and Director, Center for Information Technology, OGI School of OHSU, Portland, OR (1993-2003); Senior Scientist and Fellow, International Computer Science Institute, Berkeley, CA (1999-2003); Senior MTS, U S WEST Advanced Technologies, Boulder, CO (1988-1993); Research Engineer, Panasonic Technologies, Santa Barbara, CA (1983-1988); Research Fellow, University of Tokyo, Tokyo, Japan (1978-1983); Assistant Professor, Technical University Brno, Czech Republic (1975-1978); Member of Research Staff, Technical University Brno, Czech Republic (1972-1975).
Dr. Hermansky is an IEEE Fellow. He was Member of the Organizing Committee in charge of invited lectures, ICASSP (2011); Chair of Technical Committee, ICASSP (1998); General Chair, ASRU (2013); Associate Editor, IEEE Transactions on Speech and Audio Processing (2000-2001); Fellow, International Speech Communication Association; Elected Member, Board of Directors, International Speech Communication Association, (2000-2004, 2013-Present); Medal for Scientific Achievements, ISCA (2013); Distinguished Lecturer, ISCA (2013-2014); Editorial Board Member, Speech Communication.
Dr. Hermansky has over 250 publications and has reviewed technical journals, professional conference proceedings, and invited book chapters. He has been granted ten patents.
Hynek Hermansky
Julian S. Smith Professor in Electrical Engineering
Center for Language and Speech Processing
The Johns Hopkins University
3400 N. Charles Street, Hackerman Hall
Baltimore, Maryland 21218
E: hynek@jhu.edu or m.greco@ieee.org
http://folio.jhu.edu/faculty/Hynek_Hermansky
Lecture Topics
- Dealing with unknowns in speech
- Data-guided features in recognition of speech
- Information extraction from temporal dynamics of speech
- Multi-stream recognition of speech
Koivunen, Visa >> Full Bio and Contact Information << Collapse
Visa Koivunen (F) received his D.Sc. (EE) degree with honors from the University of Oulu, Dept. of Electrical Engineering. He received the Primus Doctor (best graduate) Award among the doctoral graduates in years 1989-1994. He is a member of Eta Kappa Nu. He was a visiting researcher at the University of Pennsylvania, USA, from 1992 to 1995; Faculty, Tampere University of Technology, Finland, from 1997 to 1999; and Full Professor of Signal Processing, Aalto University (formerly known as Helsinki University of Technology), Finland, since 1999. He holds the Academy Professor position (distinguished professor nominated by the Academy of Finland). He was a Principal Investigator in SMARAD Center of Excellence in Research nominated by the Academy of Finland in 2002-2013. He was also Adjunct Full Professor, University of Pennsylvania, USA (2003-2006); Visiting Fellow, Princeton University, NJ, USA (2007, 2013-2014); and part-time Visiting Fellow, Nokia Research Center (2006-2012).
Dr. Koivunen holds six US patents and has co-authored papers receiving the Best Paper Award in IEEE PIMRC (2005), EUSIPCO (2006), EUCAP (2006), and COCORA (2012). He was awarded the IEEE SPS Best Paper Award in 2007 (with J. Eriksson). He served as Associate Editor, IEEE Signal Processing Letters (2002-2004); IEEE Transactions on Signal Processing (2011-2012); Signal Processing and Journal of Wireless Communication and Networking; Guest Editor Team Member, IEEE Journal of Selected Topics in Signal Processing - Special Issue on Smart Grids. He is an Editorial Board Member, IEEE Signal Processing Magazine (2012-Present); Member, IEEE Signal Processing for Communications and Networking Technical Committee (2005-2010); Member, Sensor Array and Multichannel Technical Committee (2009-Present); Member, SPS Industrial Relations Committee (2011-2013); General Chair, IEEE SPAWC (2007); Technical Program Chair, IEEE SPAWC (2015); Array Processing Track Chair, ASILOMAR (2014). Dr. Koivunen has given tutorials at both IEEE ICASSP 2007 and 2013.
Dr. Koivunen's research interests include statistical, communications, sensor array and multichannel signal processing.
Visa Koivunen
Academy Professor, D.Sc. (EE)
Signal Processing/ELEC
Aalto University
P.O. Box 13000
FIN-00076 Aalto, FINLAND
E: visa.koivunen@aalto.fi
http://users.spa.aalto.fi/visa/
Lecture Topics
- Optimal Array Signal Processing in the Face of Non-Idealities
- Optimization Under Unitary Matrix Constraints: Differential Geometry Approach
- Robust Estimators for Complex-Valued Multichannel Data
- Spectrum Exploration and Exploitation: Joint Optimization of Identifying and Accessing Idle Spectrum
- Analyzing Large Scale Data: Robust and Sparse Signal Processing
- Complex Random Vectors and Noncircularity: Statistical Inference and Parameter Estimation
Krim, Hamid >> Full Bio and Contact Information << Collapse
Hamid Krim (F) received his degrees in Electrical Engineering. As a member of technical staff at AT&T Bell Labs, he has worked in the area of telephony and digital communication systems/subsystems. In 1991, he became a NSF Post-doctoral scholar at Foreign Centers of Excellence (LSS Supelec/Univ. of Orsay, Paris, France). In 1992, he joined the Laboratory for Information and Decision Systems, MIT, Cambridge, MA, as a Research Scientist performing/supervising research in his area of interest. In 1998, he joined the Electrical and Computer Engineering Department at North Carolina State University, Raleigh, N.C., where he is currently Professor and directing the Vision, Information, Statistical Signal Theories and Applications (VISSTA) Laboratory.
Dr. Krim’s editorial activities include: Editorial Board Member, IEEE Transactions on Signal Processing (2002-2004); Editorial Board Member, IEEE Signal Processing Magazine (2014).
Dr. Krim is an IEEE Fellow and was a Fellow, Japanese Foundation for the Advancement of Research in Science and Engineering at the University of Tokyo, Japan. Dr. Krim is a Member of SIAM and of Sigma Xi. He is an original contributor and now an Affiliate of the Center for Imaging Science, sponsored by the Army. He is a recipient, NSF Career Young Investigator Award.
Dr. Krim’s research interests are in statistical signal processing and mathematical modeling with a keen emphasis on applications. He has been particularly interested in introducing geometric and topological tools to statistical signal processing problems and applications. His research has primarily centered on estimation theoretic problems and modeling. Dr. Krim has published extensively on these areas with an impact amounting to over 5000 citations to date.
Hamid Krim
Electrical and Computer Engineering Department
North Carolina State University
P. O. Box 7911
Raleigh, NC 27695
P: +1 919 513 2270
F: +1 919 515 5524
E: ahk@ncsu.edu
http://www.ece.ncsu.edu/people/ahk
Lecture Topics
- Shape Analysis and Modeling in Video Applications: Activity Analysis
- Convexity, Sparsity, Nullity and all that....in Machine Leaning
- Sensor and Social Networks: A case for Topological Data Analysis
Olivo-Marin, Jean-Christophe >> Full Bio and Contact Information << Collapse
Jean-Christophe Olivo-Marin (F) is the head of the BioImage Analysis Unit and Director of the Center for Innovation and Technological Research at Institut Pasteur, Paris. He has chaired the Cell Biology and Infection Department from 2010 to 2014 and was a cofounder of the Institut Pasteur Korea, Seoul, where he held a joint appointment as a Chief Technology Officer (2004-2005). Previous to that, he was a staff scientist at the European Molecular Biology Laboratory, Heidelberg, from 1990 to 1998. He received the PhD (1989) and HDR (1998) degrees in optics and signal processing from the Institut d’Optique Théorique et Appliquée, University of Paris-Orsay, France.
Dr. Olivo-Marin is an IEEE Fellow. He is Chair, IEEE International Symposium on Biomedical Imaging Steering Committee (2014-2016); Past Chair, IEEE SPS Bio Imaging and Signal Processing Technical Committee (2009-2011); Member, IEEE SPS Conference Board (2010-2011); Senior Area Editor, IEEE Signal Processing Letters (2013-2014); and Editorial Board Member, Medical Image Analysis and BMC Bioinformatics. He has organized several special sessions dedicated to biological imaging at international biomedical conferences including: ELMI (2002), ELSO (2003), IEEE ISBI (2004), IEEE ICASSP (2006 and 2011), SPIE Wavelets (2009 and 2013), EMBO (2011), and was General Chair, IEEE International Symposium on Biomedical Imaging (2008).
Dr. Olivo-Marin’s research interests are in image analysis of multidimensional microscopy images, computer vision and motion analysis for cellular dynamics, and in mathematical approaches for biological imaging.
Jean-Christophe Olivo-Marin
Bioimage analysis unit
Institut Pasteur
25 rue du Dr Roux
75015 Paris - France
P: +33 1 45688506
E: jcolivo@pasteur.fr
http://www.bioimageanalysis.org
Lecture Topics
- Particle Tracking in Biological Imaging
- Cell Shape and Motility Analysis
- Quantitative Bioimage Analysis
Wu, Min >> Full Bio and Contact Information << Collapse
Min Wu (F) received the B.E. degree in electrical engineering - automation and the B.A. degree in economics from Tsinghua University, Beijing, China, in 1996 (both with the highest honors), and the M.A. degree and Ph.D. degree in electrical engineering from Princeton University in 1998 and 2001, respectively. She was with NEC Research Institute and Signafy, Inc. Princeton, NJ, in 1998, and with the Media Security Group, Panasonic Information & Networking Laboratories, Princeton, NJ, in 1999. Since Fall 2001, she has been on the faculty of the Electrical and Computer Engineering Department and the Institute of Advanced Computer Studies at University of Maryland, College Park, where she is now an ADVANCE Professor and University Distinguished Scholar-Teacher. She was a Visiting Associate Professor, Electrical Engineering Department and the Information Systems Laboratory of Stanford University in 2007-2008. Dr. Wu leads the Media and Security Team (MAST) at the University of Maryland, with main research interests on information security and forensics and multimedia signal processing.
Dr. Wu is an IEEE Fellow since 2010 “for contributions to multimedia security and forensics”. She received a NSF CAREER Award (2002); TR100 Young Innovator Award from the MIT Technology Review Magazine (2004); ONR Young Investigator Award (2005); Computer World "40 Under 40" IT Innovator Award (2007); IEEE Mac Van Valkenburg Early Career Teaching Award (2009); and the Daily Record Innovator of the Year Award (2012). She has served as Vice President – Finance, IEEE Signal Processing Society (2010-2012); Chair, IEEE Information Forensics and Security Technical Committee (2012-2013); Technical Program Co-Chair, ICIP (2013); Founding Chief Editor, IEEE SigPort initiative (2013-2014); and Chair, ChinaSIP Steering Committee as an SPS' outreach effort in China, with a successful launch in Beijing in 2013 and Xi’an in 2014, and the 3rd edition under planning for Chengdu in 2015. Dr. Wu has been appointed Editor-in-Chief, IEEE Signal Processing Magazine (2015-2017).
Dr. Wu’s IEEE and SPS volunteer activities include: SPS Vice President-Finance (2010-2012); Corresponding Member, IEEE TAB Finance Committee (2012); Chair, SPS Information Forensics and Security Technical Committee (2012-2013); Editorial Board Member, IEEE Signal Processing Magazine and IEEE Journal of Selected Topics in Signal Processing (2012-Present); Area Editor, IEEE Signal Processing Magazine, leading the creation and editing of the monthly Inside Signal Processing E-Newsletter (2007-2010); Associate Editor, IEEE Transactions on Image Processing (2009-2011), IEEE Transactions on Information Forensics and Security (2008-2011), and IEEE Signal Processing Letters (2005-2007); Member, Image, Video and Multidimensional Signal Processing Technical Committee (2007-2012), Multimedia Signal Processing Technical Committee (2002-2005 and 2007-2009), Information Forensics and Security Technical Committee (since 2008), and multimedia-related Technical Committees of the IEEE Communications Society and IEEE Circuits and Systems Society; General Co-Chair, ICIP (2017); Technical Program Co-Chair, ICIP (2013); Finance Chair, ICASSP (2007); Publicity Chair, ICME (2003); and Founding Chair, IEEE Signal Processing Washington Chapter.
Min Wu
University of Maryland
Department of Electrical and Computer Engineering
A.V. Williams Building
College Park, MD 20742, USA
P: +1 301 405 0401
E: minwu@umd.edu
http://www.ece.umd.edu/~minwu/
Lecture Topics
- Seeing the Invisibles: A Backstage Tour of Information Forensics
- Exploring Power Network Signature in Multimedia: From Information Forensics to Digital Humanity
- Hands-on Education on Multimedia & Security: From Kindergartener to Undergraduate to Business and English Majors in Continuous Education