Distinguished Lecturers
2011 Distinguished Lecturers
1 January 2011-31 December 2012
Blum, Rick >> Full Bio and Contact Information << Collapse
Rick S. Blum (F) received a B.S. in Electrical Engineering from the Pennsylvania State University in 1984 and his M.S. and Ph.D degrees in Electrical Engineering from the University of Pennsylvania in 1987 and 1991, respectively. Dr. Blum was a member of technical staff at General Electric Aerospace in Valley Forge, Pennsylvania (1984-91) and he graduated from GE`s Advanced Course in Engineering. Since 1991, he has been with the Electrical and Computer Engineering Department at Lehigh University in Bethlehem, Pennsylvania where he is currently a Professor and holds the Robert W. Wieseman Chaired Research Professorship in Electrical Engineering.
Dr. Blum is on the editorial board for the Journal of Advances in Information Fusion of the International Society of Information Fusion. He was an Associate Editor for the IEEE Transactions on Signal Processing (2000-02) and for the IEEE Communications Letters. He has edited special issues for IEEE Transactions on Signal Processing, IEEE Journal of Selected Topics in Signal Processing, and the IEEE Journal on Selected Areas in Communications. He is a Member, Sensor Array and Multichannel (SAM) Technical Committee (2009-Present); Member, Signal Processing for Communications (SPC) Technical Committee (1999-01); and Member, Communications Theory Technical Committee of the IEEE Communications Society. Dr. Blum was on the IEEE Communications Society’s Awards Committee.
Dr. Blum is an IEEE Fellow and an IEEE Third Millennium Medal winner. He is a member of Eta Kappa Nu and Sigma Xi, and holds several patents. He was awarded an ONR Young Investigator Award (1997) and an NSF Research Initiation Award (1992). His IEEE Fellow Citation ``for scientific contributions to detection, data fusion and signal processing with multiple sensors'' acknowledges some early contributions to the field of sensor networking.
Dr. Blum's research interests include signal processing for communications, sensor networking, radar, and sensor processing.
Rick S. Blum
Robert W. Wieseman Chair in Electrical Engineering
Department of Electrical and Computer Engineering
Lehigh University
19 Memorial Drive West
Bethlehem, PA 18015-3084
P: +1 610 758-3459
F: +1 610 758-6279
E:rblum@eecs.lehigh.edu
Lecture Topics
- Sensor Networking for Detection: From Distributed Detection to Energy Savings and MIMO Radar
- Diversity Gain for Neyman-Pearson Signal Detection with NonGaussian Noise, Clutter and Reflections
- Ordering for Estimation and Optimization in Energy Efficient Sensor Networks
- Intursion and Failure Detection in Smart Grid and Cyber Systems by Detecting Small System Changes
de Queiroz, Ricardo L. >> Full Bio and Contact Information << Collapse
Ricardo L. de Queiroz (SM) received the Engineer Degree from Universidade de Brasilia, Brazil, in 1987; the M.Sc. Degree from Universidade Estadual de Campinas, Brazil, in 1990; and the Ph.D. Degree from The University of Texas at Arlington, in 1994, all in Electrical Engineering.
Dr. de Queiroz was with the DSP research group at Universidade de Brasilia as a research associate (1990-91); he joined the Xerox Corporation, where he was a member of the research staff (1994-02); an Adjunct Faculty at the Rochester Institute of Technology (2000-01); he joined the Electrical Engineering Department at Universidade de Brasilia (2003); finally he became a Full Professor at the Computer Science Department at Universidade de Brasilia (2010).
Dr. de Queiroz has published over 140 articles in Journals and conferences and contributed chapters to books as well. He also holds 45 issued patents. He is Member, IEEE Image, Video and Multidimensional Signal Processing (IVMSP) Technical Committee (2006-Present); Associate Member, Multimedia Signal Processing (MMSP) Technical Committee; Associate Editor, IEEE Transactions on Circuits and Systems for Video Technology; and of the EURASIP Journal on Image and Video Processing; Associate Editor, IEEE Signal Processing Letters (1999-05); Associate Editor, IEEE Transactions on Image Processing (2006-Present); and an SPS Distinguished Lecturer (2011-12).
Dr. de Queiroz has been actively involved with the Rochester Chapter of the IEEE Signal Processing Society, where he served as Chair and organized the Western New York Image Processing Workshop since its inception until 2001. He is now organizing IEEE SPS Chapters in Brazil and in Latin America. He is the General Chair, ISCAS 2011, MMSP 2009 and SBrT 2012; and part of the organizing committee of ICIP 2002.
Dr. de Queiroz’s research interests include image and video compression, multirate signal processing, and color imaging. Dr. de Queiroz is a Senior Member of IEEE, a member of the Brazilian Telecommunications Society and of the Brazilian Society of Television Engineers.
Ricardo L. de Queiroz
Campus Universitário Darcy Ribeiro - Asa Norte
ICC Centro
Caixa postal 4466
70910-900 Brasília - DF – Brasil
P: +55 (61) 3107-6496
F: +55 (61) 3273-3589
E:queiroz@ieee.org
Lecture Topics
- Greener Video Coding and Processing for the Mobile and Desktop Worlds
- Mobile Video Coding Challenges
- Super-Resolution by Example and Mixed-Quality Video
- Multiview and Free Viewpoint Video With Mobile Devices
- Next Generation Video Communications
Flandrin, Patrick >> Full Bio and Contact Information << Collapse
Patrick Flandrin (F) received the engineer degree from ICPI Lyon, France, in 1978, and the Doct.-Ing. and Docteur d'Etat degrees from INP Grenoble, France, in 1982 and 1987, respectively. He joined CNRS in 1982, where he is currently a Research Director. Since 1991, he has been with the Signals, Systems, and Physics Group, Physics Department, Ecole Normale Supérieure de Lyon, France.
Prof. Flandrin has been a major contributor to the theory of (bilinear) Time-Frequency representations and non-stationary signal analysis. He played a major role in the developments of the wavelet theory and the analysis of fractional Brownian motion. Recently, he opened a new research direction studying the Empirical Mode Decomposition and revisiting stationarity with significant contributions on stationarity tests.
Prof. Flandrin is author of the book titled, Time-Frequency/Time-Scale Analysis and has authored more than 250 journal and conference proceeding research articles.
Prof. Flandrin received several research awards including Philip Morris Prize in Mathematics (1991); SPIE Wavelet Pioneer Award (2001); "Prix Michel Monpetit" from the French Academy of Sciences (2001); and Silver Medal from CNRS (2010).
Prof. Flandrin has served as a guest co-editor of the Special Issue ``Wavelets and Signal Processing" of the IEEE Transactions on Signal Processing (1993); Technical Program Chairman, IEEE-International Symposium on Time-Frequency and Time-Scale Analysis (1994); and Program Chairman, French GRETSI Symposium on Signal and Image Processing, every two years since 2001. He has been Associate Editor, IEEE Transactions on Signal Processing (1990-93, 2008-present); and Associate Editor, EURASIP Signal Processing (1994-05). Prof. Flandrin is currently on the Editorial Board of Applied and Computational Harmonic Analysis, The Journal of Fourier Analysis and Applications, Signal Image and Video Processing, and Advances in Adaptive Data Analysis. He has also been Member, IEEE Signal Processing Theory and Methods Technical Committee (1993-04). Prof. Flandrin spent one semester in Cambridge, UK, as an invited long-term resident of the Isaac Newton Institute for Mathematical Sciences (1998). Finally, Prof. Flandrin is a Fellow of the IEEE (2002) and of EURASIP (2009).
Patrick Flandrin
Laboratoire de Physique
Eciole Normale Supérieure de Lyon
46 allée d’Italie
69364 Lyon Cedex 07
France
P: +33 (0)4 72 72 81 60
F: +33 (0)4 72 72 80 80
E:patrick.flandrin@ens-lyon.fr
Lecture Topics
- Time-Frequency Energy Distributions, Old and New
- Wavelet Tools for Scaling Processes
- "Chirps" Everywhere
- Empirical Mode Decompositions, From Basics to Recent Results
- Revisiting and Testing Stationarity
Johnston, James D. >> Full Bio and Contact Information << Collapse
James D. Johnston (F) received his BSEE and MSEE from Carnegie-Mellon University. He is currently Chief Scientist for DTS Inc., located in Kirkland, WA, where he is working on a variety of acoustical modeling, preprocessing and postprocessing algorithms for audio capture, analysis, control, and presentation.
Dr. Johnston joined DTS Inc., from his position at Neural Audio. Prior to that, he worked for 5 years at Microsoft Corporation in the "Codecs", "Core Media Processing" and finally the video services groups as Audio Architect.
Dr. Johnston retired from AT&T Labs - Research, quartered at Florham Park, NJ, Speech Processing Software and Technology Research Department. Before that, he was employed by AT&T Bell Laboratories, in the Acoustics Research Department under Dr. J. L. Flanagan, and in the Signal Processing Research Department.
Dr. Johnston was the primary researcher and inventor of the MPEG-2 AAC audio coding algorithm, and a principle contributor to the "MP3" algorithm. He also represented AT&T in the ANSI accredited group X3L3.1, and X3L3.1 in the ISO-MPEG-AUDIO (MP3, AAC) arena.
Dr. Johnston was awarded the IEEE James L. Flanagan Signal Processing Field Award (2006); elected Fellow, Audio Engineering Society (1997); received AT&T Technology Medal and AT&T Standards Award (1998); received a New Jersey Inventor of the Year Award (2001); elected IEEE Fellow (2002).
Dr. Johnston’s current research interests include acoustic scene modelling, loudspeaker design, loudspeaker pattern control, cochlear modelling, masking threshold models, stereo imaging models and stereo imaging sensitivity models, methods of reproducing soundfields either literally or perceptually, microphone and soundfield capture techniques, both actively steered and time-invariant, and speech and audio coding methods in general.
See www.aes.org/sections/pnw/ppt.htm for an extensive list of talks available from Dr. Johnston.
James D. Johnston
DTS, Inc.
11410 NE 122nd Way, Suite 100
Kirkland, WA 98034
P: +1 425 522 0632
F: +1 425 814 3204
E:jj@dts.com
Lecture Topics
- Spatial Hearing vs. Signal Processing
- Hearing
- Loudness Models
- Perceptual Coding
- Digital Filters
Memon, Nasir D. >> Full Bio and Contact Information << Collapse
Nasir D. Memon (SM) is Professor, Department of Computer Science and Engineering and Director, Information Systems and Internet Security (ISIS) Laboratory at Polytechnic Institute of New York University. Prof. Memon earned a Bachelor of Engineering in Chemical Engineering and a Master of Science in Mathematics from Birla Institute of Technology and Science (BITS) in Pilani, India in 1981. He received a Master of Science in Computer Science and a PhD in Computer Science from the University of Nebraska in 1989 and 1992, respectively.
Prof. Memon is currently Editor-in-Chief, IEEE Transactions on Information Forensics and Security (2009-Present); Associate Editor, IEEE Transactions on Information Forensics and Security (2005-08); Associate Editor, IEEE Security and Privacy Magazine; Associate Editor, IEEE’s Transactions on Image Processing (2000-01); the Journal of Electronic Imaging, the ACM Multimedia Systems Journal, the LNCS Transaction on Data Hiding, IEEE Signal Processing Magazine (2006-08); and the International Journal on Network Security. Prof. Memon is co-founder of Digital Assembly and Vivic Networks.
Prof. Memon is a founding Member of the Information Forensics and Security (IFS) Technical Committee (2006-Present); and Member, Multimedia Signal Processing (MMSP) Technical Committee (2005-08).
Prof. Memon has published over 200 articles in journals and conference proceedings and holds four patents in image compression and security with six more pending application. He has won several awards including the National Science Foundation’s CAREER Award and the Jacobs Excellence in Education Award from the Polytechnic Institute of New York University.
Prof. Memon’s research interests include digital forensics, data compression, biometrics, and multimedia computing and security.
Dr. Johnston’s current research interests include acoustic scene modelling, loudspeaker design, loudspeaker pattern control, cochlear modelling, masking threshold models, stereo imaging models and stereo imaging sensitivity models, methods of reproducing soundfields either literally or perceptually, microphone and soundfield capture techniques, both actively steered and time-invariant, and speech and audio coding methods in general.
Nasir D. Memon
Polytechnic University
Department of Computer and Information Science
Office: LC 116
5 Metro Tech Centre
Brooklyn, NY 11201-3840
P: +1 718 260 3970
F: +1 718 260 3609
E:memon@poly.edu
Lecture Topics
- Image Forensics: Collection, Search, Attribution and Authentication
- Biometric Security and Privacy
- Network Forensics
- Advanced File Carving and Techniques
- Image Steganography and Steganalysis
2012 Distinguished Lecturers
1 January 2012 - 31 December 2013
Adali, Tülay >> Full Bio and Contact Information << Collapse
Tülay Adali (F) received the Ph.D. degree in electrical engineering from North Carolina State University, Raleigh, in 1992 and joined the faculty at the University of Maryland Baltimore County (UMBC), Baltimore, the same year where she currently is a Professor in the Department of Computer Science and Electrical Engineering. She has held visiting positions at École Supérieure de Physique et de Chimie Industrielles, Paris, France; Technical University of Denmark, Lyngby, Denmark; Katholieke Universiteit, Leuven, Belgium; University of Campinas, Brazil; and University of Newcastle, Australia.
Prof. Adali assisted in the organization of a number of international conferences and workshops including the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), the IEEE International Workshop on Neural Networks for Signal Processing (NNSP), and the IEEE International Workshop on Machine Learning for Signal Processing (MLSP). She was the General Co-Chair, NNSP (2001–2003); Technical Chair, MLSP (2004–2008); Program Co-Chair, MLSP (2008 and 2009), 2009 International Conference on Independent Component Analysis and Source Separation; Publicity Chair, ICASSP (2000 and 2005); and Publications Co-Chair, ICASSP 2008.
Prof. Adali chaired the IEEE SPS Machine Learning for Signal Processing Technical Committee (2003–2005); Member, SPS Conference Board (1998–2006); Member, Bio Imaging and Signal Processing Technical Committee (2004–2007); and Associate Editor, IEEE Transactions on Signal Processing (2003–2006), Elsevier Signal Processing Journal (2007–2010). She is currently Chair of the MLSP Technical Committee and serving on the Signal Processing Theory and Methods Technical Committee; Associate Editor, IEEE Transactions on Biomedical Engineering and Journal of Signal Processing Systems for Signal, Image, and Video Technology; Senior Editorial Board member, IEEE Journal of Selected Areas in Signal Processing.
Prof. Adali is a Fellow of the IEEE and the AIMBE, and the recipient of a 2010 IEEE Signal Processing Society Best Paper Award and an NSF CAREER Award. Prof. Adali’s research interests are in the areas of statistical signal processing, machine learning for signal processing, and biomedical data analysis.
Tulay Adali
Department of Computer Science and Electrical Engineering
Department of Electrical and Computer Engineering
University of Maryland Baltimore County
1000 Hilltop Circle
Baltimore, MD 21250
P: +1 (410) 455 3521
F: +1 (410) 455 3969
E:adali@umbc.edu
Web page
Lecture Topics
- Data-driven Analysis and Fusion of Medical Imaging Data
- Complex-valued Adaptive Signal Processing: When and How to Take Noncircularity into Account
- ICA, ISA, and IVA: Theory, Connections, and Applications in Medical Image Analysis
- Optimization in the Complex Domain using Wirtinger Calculus: Applications to ICA
- Joint Blind Source Separation: Applications in Medical Image Analysis
Apostolopoulos, John >> Full Bio and Contact Information << Collapse
John Apostolopoulos (F) received his B.S., M.S., and Ph.D. in EECS from MIT. He is currently Director, Mobile & Immersive Experience Lab and Distinguished Technologist, HP Labs. The goal of MIX Lab is to create compelling networked media experiences that fundamentally change how people communicate, collaborate, socialize and entertain. The MIX Lab includes video and audio signal processing, computer vision and graphics, 3D, display technology, wireless, streaming, and user experience design.
The MIX Lab has made significant contributions to a broad range of HP products from Halo video conferencing, to intelligent video delivery infrastructure for mobile devices, to the TouchSmart PC. In graduate school, he worked on the U.S. Digital TV standard and received an Emmy Award Certificate for his contributions. He received the VCIP 1995 Best Student Paper Award for part of his Ph.D. thesis, the Young Investigator Award (best paper award) at VCIP 2001 for his work on multiple description video coding and path diversity, was named “one of the world’s top 100 young (under 35) innovators in science and technology” (TR100) by Technology Review in 2003, co-author for the best paper award at ICME 2006 on authentication for streaming media, and co-author of the 2011 Best Journal Paper Award from IEEE Multimedia Communications TC. His work on secure transcoding was adopted by the JPSEC standard. He has published over 100 papers and has about 50 granted patents. He is an IEEE Fellow. He enjoys teaching and has taught and conducted joint research at Stanford, where he was a Consulting Associate Professor of EE (2000-2009), and is a frequent visiting lecturer at MIT.
Dr. Apostolopoulos’ professional activities include: Technical Co-Chair, IEEE ICIP 2007, IEEE ESPA 2012 (and co-founder) and IEEE MMSP 2011; Editorial Board Member, IEEE Signal Processing Magazine (2008-10); Member, SPS Conference Board (2008-10); Member and Chair, SPS Image, Video, and Multidimensional Signal Processing Technical Committee (2000-11 and 2008-09, respectively); Member, SPS Multimedia Signal Processing Technical Committee (2008-10); Member, Industrial Relations Committee (2011); Member, Technical Directions Board (2007-09); Associate Editor, IEEE Transactions on Image Processing (2002-04), and IEEE Signal Processing Letters (2000-02); and Co-Guest Editor for three SPS special issues including recently the January 2011 issue of IEEE Signal Processing Magazine on "Immersive Communication".
Dr. Apostolopoulos’ research interests include: mobile & immersive communications and improving their naturalness, reliability, fidelity, scalability and security, and multimedia cloud computing.
John Apostolopoulos
Hewlett-Packard Laboratories
1501 Page Mill Rd. M/S 1181
Palo Alto, CA, 94304, U.S.A.
P: +1 (650) 857 4416
F: +1 (650) 852 3791
E:john_apostolopoulos@hp.com
Web page
Lecture Topics
- Future of Mobile Devices and Experiences
- The Road to Immersive Multimedia Communications
- Advancements in Visual & Audio Acquisition and Rendering Devices: From Novel 3D-depth Cameras to Flexible Displays Made of Plastic
- Multimedia Cloud Computing
Eldar, Yonina C. >> Full Bio and Contact Information << Collapse
Yonina C. Eldar (SM) received the B.Sc. degree in Physics (1995) and the B.Sc. degree in Electrical Engineering (1996) both from Tel-Aviv University (TAU), Tel-Aviv, Israel, and the Ph.D. degree in Electrical Engineering and Computer Science (2002) from the Massachusetts Institute of Technology (MIT), Cambridge, MA (USA).
Dr. Eldar was a Postdoctoral Fellow, Digital Signal Processing Group at MIT (January 2002 to July 2002). She is currently Professor, Department of Electrical Engineering at the Technion - Israel Institute of Technology, Haifa, Israel; Research Affiliate, Research Laboratory of Electronics at MIT; and Visiting Professor, Stanford University, Stanford, CA.
Dr. Eldar was in the program for outstanding students at TAU (1992 to 1996); held the Rosenblith Fellowship for study in Electrical Engineering at MIT (1998); held an IBM Research Fellowship (2000); and was a Horev Fellow, Leaders in Science and Technology program at the Technion and an Alon Fellow (2002-2005). Dr. Eldar was awarded the Wolf Foundation Krill Prize for Excellence in Scientific Research (2004); the Andre and Bella Meyer Lectureship (2005); the Henry Taub Prize for Excellence in Research (2007); the Hershel Rich Innovation Award, the Award for Women with Distinguished Contributions, the Muriel & David Jacknow Award for Excellence in Teaching, and the Technion Outstanding Lecture Award (2008); the Technion's Award for Excellence in Teaching (2009); the Michael Bruno Memorial Award from the Rothschild Foundation (2010); and the Weizmann Prize for Exact Sciences (2011).
Dr. Eldar is a Signal Processing Society Distinguished Lecturer; member, IEEE Bio Imaging and Signal Processing Technical Committee (2009-Present); Associate Editor, SIAM Journal on Imaging Sciences, and on the Editorial Board, Foundations and Trends in Signal Processing. In the past, she was a member, IEEE Signal Processing Theory and Methods Technical Committee (2005-2010); Associate Editor, IEEE Transactions on Signal Processing (2006-2008), the EURASIP Journal of Signal Processing, and the SIAM Journal on Matrix Analysis and Applications.
Yonina Eldar
Department of Electrical Engineering
Technion -- Israel Institute of Technology
Technion City, Haifa 32000, Israel
P: +41 21 693 2606
F: +41 21 693 7600
E:yonina@ee.technion.ac.il
Web page
Lecture Topics
- Defying Nyquist in Analog to Digital Conversion
- Compressed Sensing: The Next Generation
Kalker, Ton >> Full Bio and Contact Information << Collapse
Ton Kalker (F) received both his M.S. and Ph.D. degrees in mathematics from the University of Leiden, The Netherlands, in 1979 and 1983, respectively. He has made significant contributions to the field of media security, in particular digital watermarking, robust media identification and interoperability of Digital Rights Managements systems. His research in this growing field started in 1996, submitting and participating in the standardization of video watermarking for DVD copy protection. His solution was accepted as the core technology for the proposed DVD copy protection standard and earned him the title of Fellow of the IEEE (2002). His subsequent research focused on robust media identification, where he laid the foundation of the Content Identification business unit of Philips Electronics (currently Civolution), successful in commercializing watermarking and other identification technologies. Dr. Kalker is co-author on 40+ granted patents and 40+ patent applications.
Dr. Kalker is currently VP of Technology for the Innovation Center of Huawei in Santa Clara, responsible for driving the media research program, focusing on real-time communication, media technologies for future Internet architectures, and HMI. Prior to Huawei, as a Distinguished Technologist at Hewlett-Packard Labs, he focused his research on the problem of non-interoperability of DRM systems. He was one of the three lead architects of Coral, publishing a standard framework for DRM interoperability in the summer of 2007. Subsequently, he co-chaired the Technical Working Group of DECE (http://www.decellc.com), publicly known as UltraViolet (http://www.uvvu.com). He also actively participates in the academic community.
Dr. Kalker is Co-Founder, IEEE Transactions on Information Forensics (2005); Co-Founder and Chair, Information Forensics and Security Technical Committee (2006-2007); Guest Editor, IEEE Transactions on Signal Processing Supplement on Secure Media; Associate Editor, IEEE Transactions on Information Forensics and Security (2005-Present); Associate Editor, IEEE Transactions on Multimedia (2004-2005) (2011-Present); Associate Editor, IEEE Transactions on Image Processing (2011-Present); Associate Editor, IEEE Signal Processing Letters (2003-2004); Associate Member, Information Forensics and Security Technical Committee; Member, Image and Multidimensional Signal Processing Technical Committee (2000-2005); Member, Image, Video, and Multidimensional Signal Processing Technical Committee (2011-Present); Member, Signal Processing Fellow Evaluation Committee (2009 – 2011); Technical Program Chair, the first Workshop on Information Forensics and Security (WIFS-09 in London); Tutorial Co-Chair, ICME (2010); and Tutorial Co-Chair, ICIP (2011). Dr Kalker was part-time faculty at the University of Eindhoven, the Netherlands (1998-2004).
Dr. Kalker has worked on a wide variety of topics related to media security, carefully balancing theoretical and practical aspects. Of particular importance are Ton’s contributions on the following: real-time video watermarking technologies on constrained platforms for active copyright enforcement; assessing the security of watermarking technologies, including secure watermark detection; watermarking for traitor tracing and forensics; secure signal processing (processing in the encrypted domain); limits and methods for reversible watermarking; robust hashing of audio, with an emphasis on efficient search strategies; semantic compression (compressed representations that maintain semantic significance); secure biometrics; interoperability of Digital Rights Management, based upon his work in Coral and DECE.
Ton Kalker
Huawei
2330 Central Expressway
Santa Clara, CA 95050, USA
P: +1 (831) 917 1350
F: +1 (408) 330 5088
E:ton.kalker@ieee.org
Lecture Topics
- Digital Watermarking
- Robust Hashing
- Loudness Models
- Digital Right Management
- Secure Biometrics
Moulin, Pierre >> Full Bio and Contact Information << Collapse
Pierre Moulin (F) received his engineer degree from the Ecole Polytechnique of Mons, Belgium, and his doctorate from Washington University in St. Louis (1990). After working as a Research Scientist for Bell Communications Research in Morristown, New Jersey, he joined the University of Illinois as Assistant Professor (1996) and later became Associate Professor (1999) and Professor (2003) in the Department of Electrical and Computer Engineering, Research Professor, Coordinated Science Laboratory; faculty member, Beckman Institute's Image Formation and Processing Group; and affiliate professor, Department of Statistics. He is also a member of the Information Trust Institute and the founding director of the Center for Information Forensics.
Prof. Moulin served as Associate Editor, IEEE Transactions on Information Theory (1996-1998); IEEE Transactions on Image Processing (1999-2002); and as Area Editor (2002-2006). He was co-chair, IEEE Information Theory Workshop on Detection, Estimation and Classification (1999); Guest Editor, IEEE Transactions on Information Theory, Special Issue on Information-Theoretic Imaging (2000); Guest Editor, IEEE Transactions on Signal Processing, Special Issue on Data Hiding (2003); member, IEEE Image and Multidimensional Signal Processing (IMDSP) Technical Committee (1998-2003); and member, IEEE Signal Processing Society Board of Governors (2005-2007). Prof. Moulin is co-founder and Editor-in-Chief, IEEE Transactions on Information Forensics and Security (2005-2008).
Prof. Moulin is a Fellow of IEEE (2003); recipient, 1997 Career award from the National Science Foundation, and of the IEEE Signal Processing Society 1997 Best Paper award in the IMDSP area. He is co-author (with Juan Liu) of a paper that received the IEEE Signal Processing Society 2002 Young Author Best Paper award in the IMDSP area. He was selected as Beckman Associate of UIUC's Center for Advanced Study (2003) and Sony Faculty Scholar (2005-2007). He was on the Dean's list of teachers rated excellent by their students in 1996, 1999, 2000, 2005, and 2007. He was plenary speaker for several conferences including ICASSP’06 and ICIP’11.
Prof. Moulin’s fields of professional interest are: information theory, image and video processing, statistical signal processing and modeling, decision theory, information hiding and authentication, and the application of multiresolution signal analysis, optimization theory, and fast algorithms to these areas.
Pierre Moulin
University of Illinois
Beckman Institute
Coordinated Science Laboratory and ECE Department
405 N. Mathews Avenue
Urbana, IL 61801
P: +1 (217) 244 8366
F: +1 (217) 244 8371
E:moulin@ifp.uiuc.edu
Lecture Topics
- Robust Hashing and its applications to Content Identification
- Information Embedding: From Theory to Practice
- Statistical Signal Modeling: Model Validation and Performance Bounds