Distinguished Lecturers

Charles A. Bouman (F) received a B.S.E.E. degree from the University of Pennsylvania in 1981 and a MS degree from the University of California at Berkeley in 1982. From 1982 to 1985, he was a full staff member at MIT Lincoln Laboratory and in 1989, he received a Ph.D. in electrical engineering from Princeton University. He joined the faculty of Purdue University in 1989, where he is currently the Michael J. and Katherine R. Birck Professor of Electrical and Computer Engineering. He also holds a courtesy appointment in the School of Biomedical Engineering and is Co-Director, Purdue’s Magnetic Resonance Imaging Facility located in Purdue’s Research Park.

Prof. Bouman's research focuses on the use of statistical image models, multiscale techniques, and fast algorithms in applications including tomographic reconstruction, medical imaging, and document rendering and acquisition.

Prof. Bouman is a Fellow of the IEEE, the American Institute for Medical and Biological Engineering (AIMBE), the Society for Imaging Science and Technology (IS&T), and the SPIE Professional Society. He is also a recipient of IS&T’s Raymond C. Bowman Award for outstanding contributions to digital imaging education and research (2003), has been a Purdue University Faculty Scholar, and received the College of Engineering Engagement/Service Award, and Team Award. He is currently Editor-in-Chief, IEEE Transactions on Image Processing (2007-2009), Member, SPS Board of Governors (2009-2011), and an SPS Distinguished Lecturer (2009-2010). He has been an Associate Editor, IEEE Transactions on Image Processing (1993-1995); and the IEEE Transactions on Pattern Analysis and Machine Intelligence. He has also been Co-Chair, 2006 SPIE/IS&T Symposium on Electronic Imaging; Co-Chair, 2000 SPIE/IS&T Conferences on Visual Communications and Image Processing (VCIP); Vice President of Publications and a Member, Board of Directors, IS&T Society.

Prof. Bouman is the Founder and Co-Chair, SPIE/IS&T Conference on Computational Imaging.

Charles A. Bouman
School of Electrical and Computer Engineering
Purdue University
West Lafayette IN 47907
College Park, MD 20742
USA
P: +1 765 494-0340
F: +1 765 494-3358
E:bouman@purdue.edu

Vikram Krishnamurthy (F) currently holds the Canada Research Chair in Signal Processing at the University of British Columbia. Prior to 2002, he was a Chaired Professor, University of Melbourne, Australia where has served as Deputy Head of Department. He has made several contributions to the theory of bayesian estimation, stochastic sensor scheduling, and hidden markov models.

Dr. Krishnamurthy’s current research interests include computational game theory, stochastic dynamical systems for modeling of biological ion channels and stochastic optimization and sensor scheduling. Much of his recent research deals with sensor-adaptive signal processing – that is, how networked sensors can dynamically adapt their behavior to optimize the statistical signal processing. Such problems use game theory and stochastic control together with statistical signal processing.

Dr Krishnamurthy has published over 30 book chapters and 125 peer reviewed journal papers. He has served as Associate Editor, IEEE Transactions Signal Processing (2000-2005); IEEE Transactions Automatic Control; IEEE Transactions Aerospace & Electronic Systems; IEEE Transactions Circuit and Systems II; IEEE Transactions Nanobioscience; EURASIP Journal of Applied Signal Processing; and Systems & Control Letters. Dr. Krishnamurthy has received many awards for his research including the Canada Research Chair, and Queen Elizabeth II Fellowship. He is a Fellow of the IEEE and a Member, IEEE Signal Processing Theory and Methods Technical Committee (2005-present).

Vikram Krishnamurthy
University of British Columbia
Department of Electrical and Computer Engineering
Vancouver, V6T 1Z4, BC, Canada
P: +1 604 822 2653
F: +1 604 822 5949
E:vikramk@ece.ubc.ca

Shoji Makino (F) received B.E., M.E., and Ph.D. degrees from Tohoku University, Sendai, Japan, in 1979, 1981, and 1993, respectively. He joined Nippon Telegraph and Telephone Corporation (NTT) in 1981. Since then, he has been engaged in research on adaptive filtering technologies and the realization of acoustic echo cancellation. He was a senior research scientist, supervisor at the NTT Communication Science Laboratories. He was a Guest Professor at Hokkaido University. His research interests include blind source separation of convolutive mixtures of speech, and acoustic signal processing for speech and audio applications.

Dr. Makino received the ICA Unsupervised Learning Pioneer Award (2006); the IEEE MLSP Competition Award (2007); the TELECOM System Technology Award (2004); the Achievement Award of the Institute of Electronics, Information, and Communication Engineers (IEICE) (1997); and the Outstanding Technological Development Award of the Acoustical Society of Japan (ASJ) (1995). He is the author or co-author of more than 200 articles in journals and conference proceedings and is responsible for more than 150 patents. He was a keynote speaker at ICA 2007 and a tutorial speaker at ICASSP 2007.

Dr. Makino served on the SPS Awards Board (2006-2008); and the SPS Conference Board (2002-2004). He is a member of the James L. Flanagan Speech & Audio Processing Award Committee. He was an Associate Editor, IEEE Transactions on Speech and Audio Processing (2002-2005); and is an Associate Editor, EURASIP Journal on Advances in Signal Processing. He is a Member, SPS Audio and Electroacoustics Technical Committee (1990-1991, 1993-present) and Chair, Blind Signal Processing Technical Committee of the IEEE Circuits and Systems Society. He was the Vice President of the Engineering Sciences Society of the IEICE (2007-2008); and Chair, Engineering Acoustics Technical Committee of the IEICE (2006-2008). He is a Member of the International IWAENC Standing Committee and of the International ICA Steering Committee. He was General Chair, WASPAA 2007; General Chair, IWAENC 2003; Organizing Chair, ICA 2003; and is the designated Plenary Chair, ICASSP 2012.

Dr. Makino is a Fellow of the IEEE and IEICE, a Council Member of the ASJ, and a Member of EURASIP.

Shoji Makino
University of Tsukuba
1-1-1 Tennodai, Tsukuba
Ibaraki 305-8577 Japan
P: +81-29-853-6432
F: +81-29-853-6432
E:maki@tara.tsukuba.ac.jp
http://www.tara.tsukuba.ac.jp/~maki/

Sergios Theodoridis (F) is Professor of Signal Processing and Communications, Department of Informatics and Telecommunications, University of Athens. His research interests lie in the areas of adaptive algorithms and communications; machine learning and pattern recognition; and signal processing for audio processing and retrieval. He is co-editor of the book “Efficient Algorithms for Signal Processing and System Identification”, Prentice Hall 1993; co-author of “Pattern Recognition”, Academic Press, 4th ed. 2008; and co-author of three books in Greek, two of them for the Greek Open University.

Dr. Theodoridis is currently Associate Editor, IEEE Transactions on Neural Networks, and IEEE Transactions on Circuits and Systems II, and Editorial Board Member, EURASIP Wireless Communications and Networking. He has served in the past as an Associate Editor, IEEE Transactions on Signal Processing (1997-1998); IEEE Signal Processing Magazine (2005-2007); EURASIP Journal on Signal Processing; and EURASIP Journal on Advances on Signal Processing. He was General Chairman, EUSIPCO-1998; Technical Program Co-Chair, ISCAS-2006; and Co-Chairman, CIP-2008. He served as President of the European Association for Signal Processing (EURASIP) and is currently a member of the Board of Governors, IEEE CAS Society.

Dr. Theodoridis is co-author of four papers that have received best paper awards: IEEE Computational Intelligence Society Transactions on Neural Networks Outstanding Paper Award (2009); Best Student Paper Award of the IEEE Workshop on Multimedia and Signal Processing (2007); Best Paper Award of the Multimedia Metadata Applications (M3A) Workshop (2007); and Best Student Paper Award of the European Signal Processing Conference (EUSIPCO) (2005).

Dr. Theodoridis is a member of the Greek National Council for Research and Technology and Chairman, SP Advisory Committee for the Edinburgh Research Partnership (ERP), U.K. He has served as Vice Chairman, Greek Pedagogical Institute and he was for four years, Member, Board of Directors of COSMOTE (the Greek mobile phone operating company). He is a Fellow of IET and a Fellow of IEEE.

Sergios Theodoridis
University of Athens
Dept. of Informatics and Telecommunications
Panepistimioupolis, Ilisia 157 84
Athens, GREECE
P: +30 1 727 5328
F: +30 1 727 5214
E:stheodor@di.uoa.gr

Lang Tong (F) is the Irwin and Joan Jacobs Professor in Engineering, Cornell University, Ithaca, New York. Prior to joining Cornell University, he was on faculty at the West Virginia University and the University of Connecticut. He was also the 2001 Cor Wit Visiting Professor, Delft University of Technology. He received the B.E. degree from Tsinghua University, Beijing, P.R. China in 1985; and a PhD degree in Electrical Engineering from the University of Notre Dame, Notre Dame, Indiana in 1991. He was a Postdoctoral Research Affiliate at the Information Systems Laboratory, Stanford University in 1991.

Professor Tong’s research spans across signal processing, wireless communication and networking, and information theory. His most recent work focuses on security and anonymity of wireless networks, cognitive radio and networking, and scaling laws of statistical inference in random networks.

Professor Tong received the Outstanding Young Author Award from the IEEE Circuits and Systems Society (1991); the IEEE Signal Processing Society Best Paper Award (with Min Dong) (2004); the Leonard G. Abraham Prize Paper Award from the IEEE Communications Society (with Parvathinathan Venkitasubramaniam and Srihari Adireddy) (2004); and was the recipient of the Young Investigator Award from the Office of Naval Research (1996).

Professor Tong was a plenary speaker in a number of international conferences and workshops including ICASSP 2005; SPAWC 2003 and 2007; ICCSC 2008; IEEE CAS Symposium on Frontiers in Wireless Communications (2004); IEEE Workshop on Wireless Communications, Circuits, and Systems (1998); and the IEEE Statistical Signal Processing Workshop (1996).

Professor Tong has given short courses on various topics: wireless sensor networks at MILCOM 2006; cross layer design at WCNC 2005; wireless communications at TU-Delft (2001); Tsinghua University (2006); and on distributed inference at KTH (2007).

Lang Tong
Cornell University
School of Electrical Engineering
384 Frank H.T. Rhodes Hall
Ithaca, NY 14853
P: +1 607 255 3900
F: +1 607 255 9072
E:ltong@ece.cornell.edu

http://people.ece.cornell.edu/ltong

Prof. Chellappa has published over 30 book chapters, 120 peer-reviewed journal papers and 220 conference papers. Several of his journal papers have been reproduced in Collected Works published by IEEE Press, IEEE Computer Society Press and MIT Press. He has edited a collection of papers on Digital Image Processing, which was published by IEEE Computer Society Press, co-authored a research monograph on Artificial Neural Networks for Computer Vision with Y.T. Zhou (Springer Verlag, 1988), co-edited a book on Markov Random Fields with A.K. Jain (Academic Press, 1993), co-authored a research monograph on Recognition of Humans and Their Activities Using Video with Roy Chowdhury and S. Zhou (Morgan Claypool, 2005), co-edited a book on Face Processing: Advanced Models and Processing with W. Zhao (Academic Press, 2006), co-authored a research monograph on Unconstrained Face Recognition with S. Zhou (Springer, 2006), and Human Identification Based on Gait with M. Nixon and T. Tan (Springer, 2006).

Prof. Chellappa has been involved in numerous professional society activities, including: SPS Board of Governors (1996-98); SPS Vice President-Awards and Membership (2002-04); Member, SPS Technical Committees: Very Large Scale Integration for Signal Processing (VLSI) (1984-88), Neural Networks for Signal Processing (NNSP) (1993-94), Image and Multidimensional Signal Processing (IMDSP) (1986-88, 1993-97), Chair (1994-95), and Multimedia Signal Processing (MMSP) (1996-01); Member, Computer Society Pattern Analysis and Machine Intelligence Technical Committee; Associate Editor, IEEE Transactions on Signal Processing (1987-89), IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing (1993-95), IEEE Transactions on Neural Networks; Editor-in-Chief, IEEE Transactions on Pattern Analysis and Machine Intelligence (2001-04); co-Editor-in-Chief, Graphical Models and Image Processing (Academic Press); General Chair, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1989), NSF Workshop on MRF's (1989), AI and Computer Vision Conference (1989), and International Conference on Multimedia and Expo (ICME) (2003); General Co-Chair, IEEE International Conference on Image Processing (ICIP) (2008); Technical Program Chair, ICIP (1995); Technical Co-Chair, Conference on Audio-Video Based Person Authentication (1999), SPS Workshop on Neural Networks and Signal Processing (1993), Computer Society Conference on Automatic Face and Gesture Recognition (2002), Computer Society Conference on Computer Vision and Pattern Recognition (2004); and Tutorial Co-Chair, the first ICME (2000).

Prof. Chellappa is a Fellow of the IEEE and the International Association for Pattern Recognition. He has received several awards including an NSF PYI Award (1985), IBM Faculty Development Awards (1985, 2006 and 2007), the Excellence in Teaching Award (1991), School of Engineering at USC, co-author of two paper awards (Best Industry Related Paper, 1992 and the Best Student Paper in Computer Vision Track, 2006), International Association of Pattern Recognition, and SPS Technical Achievement Award in 2001. He was elected as a Distinguished Faculty Research Fellow (1996-98), Distinguished Scholar-Teacher (2003), University of Maryland. He is a co-recipient of the Outstanding Innovator Award (2007) from the Office of Technology Commercialization at the University of Maryland and received the A.J. Clark School of Engineering Faculty Outstanding Research Award (2007).

Rama Chellappa
University of Maryland
Room 4411, A.V. Williams Building
115 Paint Branch Drive
College Park, MD 20742
USA
P: +1 301 405-3656
F: +1 301 314-9115
E: rama@cfar.umd.edu

Renato De Mori (F) received a doctorate degree in Electronic Engineering, Politecnico di Torino, Italy in 1967. He has been Professor and Chairman at the University of Turin, Italy and McGill University and School of Computer Science, Montreal, Canada. He is currently Professor at the University of Avignon, France and Scientific Leader of the LUNA European Project (2006-09).

Prof. De Mori is the author/editor of four books and has published more than 100 scientific papers in many international journals. His major contributions have been in the areas of Automatic Speech Recognition, Computer Arithmetic, Software Engineering and Human-Machine Interfaces.

Prof. De Mori is a Fellow of the IEEE; Chief Editor, Elsevier Speech Communication (2003-05) and Editorial Board Member since 1982; Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (1988-92); Editorial Board Member, Elsevier Computer Speech and Language (1988-present), Computational Intelligence (1990-02), Elsevier Pattern Recognition Letters (1980-04), IEEE Transactions on Signal Processing (1979-89); Member, Executive Advisory Board, IBM Toronto Lab; Scientific Advisor, France Telecom R&D; Chairman, Computer and Information Systems Committee, Natural Sciences and Engineering Council of Canada; Vice-President, R&D Centre de Recherche en Informatique de Montreal; Member, IEEE SPS Speech Technical Committee (1984-87 and 2003-05), Interdisciplinary Board, Canadian Foundation for Innovation, and Interdisciplinary Committee for Canadian Chairs.

Renato De Mori
University of Avignon
LIA - CERI
339 chemin des Meinajaries
BP1228
84911 AVIGNON Cedex 9
France
P: (33/0) 4 90 84 35 15
F: (33/0) 4 90 84 35 01
E: renato.demori@univ-avignon.fr

Petar M. Djuric (F) received his B.S. and M.S. degrees in Electrical Engineering from the University of Belgrade, in 1981 and 1986, respectively, and his Ph.D. degree in Electrical Engineering from the University of Rhode Island (1990).

From 1981 to 1986, Prof. Djuric was a Research Associate with the Institute of Nuclear Sciences, Vinca, Belgrade. Since 1990, he has been with Stony Brook University, where he is Professor, Department of Electrical and Computer Engineering. His research interests are in the area of statistical signal processing, and his primary interests are in the theory of modeling, detection, estimation, and time series analysis and its application to a wide variety of disciplines including wireless communications and biomedicine.

Prof. Djuric has served on numerous technical committees for the IEEE and has been invited to lecture at universities in the United States and overseas. His SPS activities include: Vice President-Finance (2006-09); Area Editor of Special Issues, IEEE Signal Processing Magazine (2002-05); Associate Editor, IEEE Transactions on Signal Processing (1994-96 and 2003-05); Chair, SPS Signal Processing Theory and Methods Technical Committee (2005-06); and Treasurer, SPS Conference Board (2001-03). He is an Editorial Board Member, IEEE Journal on Special Topics in Signal Processing, Elsevier Digital Signal Processing, Elsevier Signal Processing, and the EURASIP Journal on Wireless Communications and Networking.

Prof. Djuric is an IEEE Fellow, as well as a Member of the American Statistical Association and the International Society for Bayesian Analysis.

Petar M. Djuric
Department of Electrical and Computer Engineering
Stony Brook University
Stony Brook, NY 11794-2350
USA
P: +1 631 632-8423
F: +1 631 632-8494
E: djuric@ece.sunysb.edu

Amy R. Reibman (F) received the B.S., M.S. and Ph.D. degrees in EE from Duke University in 1983, 1984, and 1987, respectively. From 1988 to 1991, she was an Assistant Professor, Department of Electrical Engineering at Princeton University. In 1991, she joined AT&T Bell Laboratories, and became a Distinguished Member of Technical Staff in 1995. She is currently a Lead Member of Technical Staff at AT&T Labs-Research, exploring video quality assessment for network transport.

In the area of video transport over networks, her studies include ATM, wireless networks (indoor and EGPRS), and the Internet, considering error resilience and alternative source coding algorithms (scalable and multiple description video coding). She was an early pioneer in exploring ways that the video compression system and the network can interact so as to obtain overall better video quality. In recent years, she has focused on the critical problem of measuring and quantifying video quality. She is a leading innovator in measuring video quality from the vantage point of inside the network. She has also considered quality metrics for compressed video and for super-resolution image enhancement.

Dr. Reibman is co-editor, Video Transport Over Networks (Marcel Dekker, Inc.), with Ming-Ting Sun, 2000. She has written tutorial articles for the Proceedings of the IEEE, “VBR Video Transport Over Networks and Multiple Description Video Coding for Video Delivery?. She has published over 100 journal and conference papers in the field of video signal processing and holds 14 US patents.

Dr. Reibman was elected Fellow of the IEEE for “contributions to video transport over networks? in 2005. In 1998, she won the IEEE Communications Society Leonard G. Abraham Prize Paper Award, for the paper “Joint Selection of Source and Channel Rate for VBR Video Transmission Under ATM Policing Constraints,? IEEE Journal on Selected Areas in Communications, August 1997, with C.-Y. Hsu and A. Ortega. She was Technical Co-Chair, IEEE International Conference on Image Processing (ICIP) (2002); Technical Co-Chair, First IEEE Workshop on Multimedia Signal Processing (1997); Technical Program Chair, 6th International Workshop on Packet Video (1994); and Tutorial Speaker, ICIP (1997).

Amy R. Reibman
AT&T Labs-Research, Room C-235
180 Park Avenue, P.O. Box 971
Florham Park, NY 07932-0971
USA
P: +1 973 360 8046
F: +1 973 360 8178
E: amy@research.att.com

Nikos Sidiropoulos (SM) received the Ph.D. degree in Electrical Engineering, University of Maryland (1992). He served as Assistant Professor, University of Virginia; Associate Professor, University of Minnesota; and Professor, Technical University of Crete, since 2002.

Prof. Sidiropoulos has published over 50 journal papers, 85 conference papers, five book chapters and one edited book. He has been a consultant to Globespan and General Dynamics, and has co-authored three patents. He received the U.S. NSF Young Faculty CAREER Award (1998) and the IEEE SPS Best Paper Award (2001).

Prof. Sidiropoulos’ volunteer activities include Member, Vice-Chair and Chair, SPS Signal Processing for Communications Technical Committee (2000-present, 2005-06 and 2007-08, respectively); Member, SPS Sensor Array and Multichannel Technical Committee (2004-present); Associate Editor, IEEE Transactions on Signal Processing (2000-06) and IEEE Signal Processing Letters (2000-02); Technical Program Chair, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) (2005); Technical Program Co-Chair, IEEE Sensor Array and Multi-Channel Signal Processing Workshop (SAM) (2008); General Co-Chair, IEEE International Workshop on Computational Advances in Multi-Channel Sensor Array Processing (CAMSAP) (2007); and on the Program Committee of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2011 in Prague.

Nikos Sidiropoulos
Department of Electrical and Computer Engineering
Technical University of Crete
73100 Chania, Crete
Greece
P: +30-2821037227
F: +30-2821037542
E: nikos@telecom.tuc.gr