2014 Distinguished Lecturers
1 January 2014 - 31 December 2015
Greco, Maria S. >> Full Bio and Contact Information << Collapse
Maria S. Greco (F) 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 Department of Information Engineering of the University of Pisa, where she is Associate Professor since December 2011.
Dr. Greco has been General-Chair, Technical Chair, and Organizing Committee Member of EUSIPCO 2006, WDD 2007, RadCon 2008, CAMSAP 2009, CIP 2010, CAMSAP 2011, SAM 2014, and ICASSP 2014. She was Guest Co-Editor of the special issue, IEEE Journal of Selected Topics in Signal Processing on "Adaptive Waveform Design for Agile Sensing and Communication," (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," (August 2008).
Dr. Greco is Associate Editor, IET Proceedings – Sonar, Radar and Navigation since 2009; IEEE Transactions on Signal Processing (2009-2013); Associate Editor in Chief, IEEE Aerospace and Electronic Systems Magazine since 2011; Editorial Board Member, Journal of Advances in Signal Processing since 2008; Member, IEEE SPS Signal Processing Theory and Methods Technical Committee (2009-Present); Chair, EDU Subcommittee (2009-2014); Member, IEEE SPS Sensor Array and Multichannel Technical Committee (2010-2015); and Member, IEEE AESS Radar Panel and IEEE AESS Board of Governors (2012-2014).
Dr. Greco is an IEEE Fellow since 2011. She was co-recipient, IEEE Aerospace and Electronic Systems Society’s Barry Carlton Award for Best Paper (2001); and recipient, Fred Nathanson Young Engineer of the Year Award (2008) "for contributions to signal processing, estimation, and detection theory".
Dr. Greco’s general interests are in the areas of statistical signal processing, estimation and detection theory. In particular, her research interests include radar clutter models, spectral analysis, coherent and incoherent detection in non-Gaussian clutter, CFAR techniques, radar waveform diversity and bistatic/multistatic radars. She co-authored three book chapters, more than 130 journal and conference papers.
- Statistical Analysis Methods for Radar Clutter Modeling
- Advanced Techniques of Radar Detection in Non-Gaussian Background
- Sensor Selection for Multistatic Radar Networks
Kot, Alex C. >> Full Bio and Contact Information << Collapse
Alex C. Kot (F) received his BS in electrical engineering and MBA degrees both from the University of Rochester. He obtained his MS and PhD in electrical engineering from the University of Rhode Island. Prof. Kot has been with the Nanyang Technological University, Singapore since 1991. He headed the Division of Information Engineering with more than 40 faculty members at the School of Electrical and Electronic Engineering for eight years and served as Associate Chair/ Research and Vice Dean Research for the School of Electrical and Electronic Engineering. He is currently Professor and Associate Dean for the College of Engineering. He is the Director of Rapid-Rich Object SEarch (ROSE) Lab, partnering with Peking University.
Dr. Kot served as Associate Editor, IEEE Transactions on Signal Processing (2001-2003); IEEE Transactions on Image Processing (2010-2012); IEEE Transactions on Multimedia (2008-2012); IEEE Signal Processing Letters (2009-2012), IEEE Signal Processing Magazine (2008-2010); IEEE Journal of the Special Topics in Signal Processing (2010-2012); IEEE Transactions on Circuits and Systems for Video Technology; IEEE Transactions on Circuits and Systems Part I/II; IEEE Transactions on Information, Forensics and Security (2011-Current); and the EURASIP Journal of Advanced Signal Processing. He also served as Guest Editor for the Special Issues, IEEE Transactions on Circuits and Systems for Video Technology and the IEEE Journal of Applied Signal Processing.
Dr. Kot has served the IEEE SP Society in various capacities such as General Co-Chair, ICIP 2004 and Chairman, SPS Chapter Chairs. He served as Member, IEEE Fellow Evaluation Committee; Vice-President Finance, IEEE Signal Processing Society (2013-2014); Member, SPS Conference Board (2013-2014); and Member, SPS Publications Board (2013-2014). He received the Best Teacher of the Year Award and is a co-author for several Best Paper Awards including ICPR, IEEE WIFS, ICEC and IWDW. He was the IEEE CASS Distinguished Lecturer in 2005 and 2006 and is a Fellow of IES, a Fellow of IEEE, and a Fellow of Academy of Engineering, Singapore.
Dr. Kot has published extensively in the areas of signal processing for communication, biometrics, data-hiding, image forensics, information security. His new research area is in the domain object search and recognition.
Professor, School of EEE
Associate Dean, College of Engineering
Director, Rapid-Rich Object Search (ROSE) Lab
School of EEE
50 Nanyang Avenue
Republic of Singapore
- Is Your Biometric Data Safe?
- Can Digital Photos Be Trusted?
Rao, Bhaskar D. >> Full Bio and Contact Information << Collapse
Bhaskar D. Rao (F) received the B.Tech. degree in electronics and electrical communication engineering from the Indian Institute of Technology, Kharagpur, India, in 1979 and the M.S. and Ph.D. degrees from the University of Southern California, Los Angeles, in 1981 and 1983, respectively. Since 1983, he has been with the University of California at San Diego, La Jolla, where he is currently a Professor with the Electrical and Computer Engineering. He is the holder of the Ericsson Endowed Chair in Wireless Access Networks and was the Director of the Center for Wireless Communications (2008-2011).
Prof. Rao was elected IEEE Fellow in 2000 "for his contributions to the statistical analysis of subspace algorithms for harmonic retrieval". His work has received several paper awards; Best Paper Award (2013) for the paper "Multicell Random Beamforming with CDF-based Scheduling: Exact Rate and Scaling Laws"; SPS Best Paper Award (2012) for the paper "An Empirical Bayesian Strategy for Solving the Simultaneous Sparse Approximation Problem"; Stephen O. Rice Prize Paper Award in the Field of Communication Systems (2008) for the paper "Network Duality for Multiuser MIMO Beamforming Networks and Applications"; Best Paper Award (2000) for the paper "PDF Optimized Parametric Vector Quantization of Speech Line Spectral Frequencies". His students have received several student paper awards; Best Student Paper Award (2006) for D. Wipf for the paper "Analysis of Empirical Bayesian Methods for Neuroelectromagnetic Source Localization," by D. P.Wipf, R. R. Ramirez, J. A. Palmer, S. Makeig, and B. D. Rao; Student Paper Award (2006) for Jun Zheng for the paper "Capacity Analysis of Multiple Antenna Systems with Mismatched Channel Quantization Schemes," by J. Zheng and B. D. Rao; Best Student Paper Award (2005) for J. McCall and D. Wipf for the paper "Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning" by J. McCall, D. Wipf. M. Trivedi and B. D. Rao; and Student Paper Award (2005) for Haichang Sui for the paper "RAKE Finger Placement for CDMA Downlink Equalization," by H. Sui, E. Masry and B. D. Rao.
Prof. Rao has been a Member, Statistical Signal and Array Processing Technical Committee; Member, Signal Processing Theory and Methods Technical Committee (1999-2004); Signal Processing for Communications and Networking Technical Committee (2005-2007); Member, Machine Learning for Signal Processing Technical Committee (2012-Present); Editorial Board Member, EURASIP Signal Processing Journal; and Technical Member, several IEEE conferences.
Prof. Rao’s interests are in the areas of digital signal processing, estimation theory, and optimization theory, with applications to digital communications, speech signal processing, and biomedical signal processing.
Bhaskar D. Rao
Ericsson Endowed Chair and Professor
Electrical and Computer Engineering department
Jacobs Hall (EBU1) Room 6407
University of California, San Diego
9500 Gilman Dr.
La Jolla, CA 92093-0407
P: +1 858 534 6186
F: +1 858 534 2486
- Bayesian Methods for Sparse Signal Recovery and Compressed Sensing
- Space-Time Signal Processing; Theory, Methods, and Applications
Singer, Andrew C. >> Full Bio and Contact Information << Collapse
Andrew C. Singer (F) received the S.B., S.M., and Ph.D. degrees, all in electrical engineering and computer science, from the Massachusetts Institute of Technology. From 1996 to 1998, he was a Research Scientist at Sanders, A Lockheed Martin Company in Manchester, New Hampshire. Since 1998, he has been on the faculty of the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, where he is currently a Professor in the Electrical and Computer Engineering Department, and the Coordinated Science Laboratory.
In 2000, Dr. Singer co-founded Intersymbol Communications, Inc., based in Champaign, Illinois, which built the world’s fastest signal-processing-enhanced receivers for 10Gb/s optical communications. In 2007, Intersymbol Communications, Inc. was acquired by Finisar Corporation (FNSR). He continues to work in areas related to signal processing algorithms and their potential to enhance mixed-signal analog and digital circuits both in his research and as Assistant Director of the SRC-funded Systems On Nanoscale Information fabriCs (SONIC) center. His research interests include signal processing and communication systems.
Dr. Singer received the National Science Foundation CAREER Award (2000); the Xerox Faculty Research Award (2001); and was named a Willett Faculty Scholar (2002). In 2005, he was appointed Director, Technology Entrepreneur Center at the University of Illinois. He received the IEEE Journal of Solid State Circuits Best Paper Award (2006) and the IEEE Signal Processing Magazine Award (2008). He was selected for participation in National Academy of Engineering, "Frontiers of Engineering" symposium in 2008, and in 2009, he was elected Fellow of the IEEE "for contributions to signal processing techniques for digital communication."
Dr. Singer currently serves as the IEEE SPS Liaison to Computing in Science and Engineering. He has been a Member, MIT Educational Council Member since 1994. He has served two terms as Associate Editor, IEEE Transactions on Signal Processing (2002-2006); Guest Editor-In-Chief, IEEE Transactions on Signal Processing - Special Issue on Machine Learning Methods in Signal Processing (2004); Guest Associate Editor, IEEE Transactions on Information Theory - Special Issue on Facets of Coding Theory: From Algorithms to Networks (2010); Guest Editor-In-Chief, IEEE Journal on Special Topics in Signal Processing – Special Issue on Special Issue on Soft Detection for Wireless Transmission (2011); Member, Signal Processing Theory and Methods Technical Committee (2004-2011); and Member, IEEE Machine Learning for Signal Processing Technical Committee (2007-2012).
Andrew C. Singer
Professor, Dept. Electrical and Computer Engineering
Director, Technology Entrepreneur Center, College of Engineering
University of Illinois at Urbana Champaign
110 CSL, 1308 West Main Street Urbana, IL 61801
P: +1 217 244 9263
- Statistical Learning in Signal Processing
- Hybrid Signal Processing and Communication Systems
- DSP Applications:
- Underwater Acoustic Signal Processing and Communication
- DSP to the Rescue of Moore's Law
- Signal Processing-Based Technology Entrepreneurship
Sugiyama, Akihiko >> Full Bio and Contact Information << Collapse
Akihiko (Ken) Sugiyama (F) is a Research Fellow of Information and Media Processing Laboratories at NEC Corporation, Tokyo, Japan. He received his B. E., M. E., and Dr. of Eng. degrees all in Electrical Engineering from Tokyo Metropolitan University, Tokyo, Japan, in 1979, 1981, and 1998, respectively. He joined NEC Corporation in 1981 and has been engaged in research and development of signal processing algorithms and systems for transmission terminals and consumer products such as trunk switching systems, subscriber-loop transmission systems, remote conference systems, PCs (personal computer), cellphone handsets, speech/audio codecs, voice recorders, digital still cameras, camcorders, and related DSP (digital signal processor) software. He was a Visiting Scientist at the Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada (1987-1988), and served as a doctoral research supervisor at Traitement du Signal et Télécommunications, Université de Rennes 1, Rennes, France (1996-1998 and 2003-2006), and a Part Time Lecturer at Tokyo Institute of Technology (2002-2009), Tokyo Metropolitan University (2004, 2006, and 2007), Keio University (2008), Tokyo Agriculture and Technology University (2008-2013), Kyoto University (2009), and Niigata University (2010) all in Japan.
Dr. Sugiyama was elected IEEE Fellow in 2011 "for contributions to speech and audio signal processing" and has served as Member, Audio and Acoustic Signal Processing (formerly Audio and Electroacoustics) Technical Committee (1990-2009), the Vice Chair (2010) and the Chair (2011-2012); the Conference Board as a Member (2005-2007) and the Secretary and Member at Large (2009-2010); Industrial Relations Committee as a Member (2011-Present); and the organization committees of IEEE International Conference on Acoustics, Speech and Signal Processing as the Far-East Liaison (ICASSP 2001) and a Technical Program Chair (ICASSP 2012) as well as IEEE International Conference on Emerging Signal Processing Applications (ESPA 2012) as the Tutorial Chair. He was the Vice Chair (2007-2008) and the Chair (2009-2010) of Japan Chapter, IEEE Signal Processing Society, and an Associate Editor for IEEE Transactions on Signal Processing (1994-1996) and is currently the Vice Chair of Chapter Operations Committee, IEEE Japan Council (2013-Present).
Dr. Sugiyama was elevated to Fellow of IEICE (The Institute of Electronics, Information and Communication Engineers), a Japan-based society to cover signal processing, in 2011 "for contributions to audio and acoustic signal processing." He has served Signal Processing Technology Group (formerly Technical Group on Digital Signal Processing), Engineering Science Society, IEICE, as an Associate Secretary (1994-1995), a Secretary (1995-1997), a Vice Chair (2007-2008), and the Chair (2009) as well as the Profitability Improvement Committee, IEICE Engineering Science Committee as a Member (2000-2001). He was the Director, Service Activities, IEICE Engineering Sciences Society (2000-2002). He has been the Local Liaison Officer for Japan of the EURASIP Administration Committee (2009-Present). He has served as an Associate Editor for Circuits, Systems and Signal Processing, Birkhäuser (1999-2011), an Associate Editor for IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2000-2002), and Guest Associate Editors for six Special Sections of the same transaction (1994-1999) as well as the Guest Editor-in-Chief for Special Section on Signal Processing of the same transaction (2009).
Dr. Sugiyama was a member of Japanese delegation to ISO/IEC JTC1/SC29/WG11 for MPEG Audio Standardization (1990-1994, 1998, 2002, 2007-2008), the Interim Chair, Audio Subgroup, ISO/IEC JTC1/SC29/WG11 at Angra dos Reis Meeting, Brazil (1992). He also served as the Secretary (1991-1996) of SC29/WG11 Audio Subcommittee and a Member of SC29 Committee (1992-1996), both of Information Technology Standards Commission of Japan, Information Processing Society of Japan. He has drafted four Japanese Industrial Standards which cover MPEG-1, MPEG-2/BC, MPEG-2/AAC, and MPEG-4 as the Chair of Audio Subworking Group (SWG3: 1993-1995, SWG4: 1995-1996, 2001-2003), a Member of MPEG JIS Standardization Working Group (WG8: 1993-1998), MPEG-1 JIS Standardization Subworking Group (SWG1: 1996-1998), MPEG-2 JIS Standardization Subworking Group (SWG2: 1996-1998), MPEG JIS Standardization Working Group (WG6: 1998-2001), and MPEG JIS Standardization Working Group (WG5: 2001-2003), all of Image Processing Technology and Standardization and Research Committee, Image Processing Technology Standardization Center, Japanese Standards Association.
Dr. Sugiyama is a recipient of Shinohara Memorial Academic Encouragement Award from IEICE (1987), Ohm Technology Award from The Promotion Foundation for Electrical Science and Engineering (2001 and 2013), the Best Paper Award from IEICE (2002), the Incentive Award from Japanese Society of Artificial Intelligence (2005), the Achievement Award from IEICE (2006), the Sankei Newspaper Award of Fuji-Sankei Business I, Advanced Technology Award from The Nikkan Kogyo Shinbun Ltd. (2010), and Local Commendation for Invention in Kanto Region from Japan Institute of Invention and Innovation (2011).
Dr. Sugiyama’s current research interests are in signal processing and its applications to commercial products and services. He is an author of fifteen book chapters on audio and acoustic signal processing in Japanese and English with one Korean translation. He has published more than 100 technical papers in journals and at international conferences and is the inventor or a co-inventor of 150 registered patents in Japan, the United States, Canada, Australia, and EPC (European Patent Convention) with more pending. >/
Akihiko (Ken) Sugiyama
Information and Media Processing Laboratories
1753 Shimonumabe, Nakahara-ku,
Kawasaki 211-8666, JAPAN
- How Consumer Products Benefit from Audio and Acoustic Signal Processing
- 25 Years of Audio Coding: Technology, Standardization, Competition, Collaboration, Compromise, and Encounter with a 1994 Signal Processing Heritage: the Ancestor of iPod
- Multichannel Echo Cancellation: Discovery of the Uniqueness Problem and Development of Solutions
- Efficient and Fruitful Collaboration with Students and Junior Engineers: 28-Year Experiences as a Supervisor of 70+ International/Domestic Internship Students and Master/Ph.D Candidates
- What I Wish I Knew When I was an Entry-Level Engineer
2013 Distinguished Lecturers
1 January 2013 - 31 December 2014
Barbarossa, Sergio >> Full Bio and Contact Information << Collapse
Sergio Barbarossa (F) graduated in Electrical Engineering and received his PhD from the University of Rome 'La Sapienza' in 1984 and 1989, respectively. He started working as a radar system engineer in Selenia (1984). He was a Research Engineer at the Environmental Research Institute of Michigan (ERIM), Ann Arbor, MI (USA) (November 1987 to August 1988); an Adjunct Professor at the University of Perugia (1988-1991); in 1991, joined the University of Rome 'La Sapienza', where he is now a Full Professor. He has held positions as visiting scientist and visiting professor at the University of Virginia (1995, 1997), the University of Minnesota (1999), and the Polytechnic University of Catalunya (2002, 2008).
Dr. Barbarossa served as Member, IEEE Technical Committee for Signal Processing in Communications (1997-2003); Associate Editor, IEEE Transactions on Signal Processing in two terms (1998-2000 and 2004-2006); and is presently an Editorial Board Member, IEEE Signal Processing Magazine (2012). He served as General Chair, IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2003) and Technical Co-Chair of SPAWC 2013; Guest Editor, Special Issue of the IEEE Journal on Selected Areas in Communications on MIMO transceivers optimization; IEEE Signal Processing Magazine (2013); the IEEE Journal of Selected Topics in Signal Processing (2013) on Adaptation and Learning over Complex Networks; and of a Special Issue of the EURASIP Journal of Applied Signal Processing focusing on signal processing per MIMO communications.
Dr. Barbarossa received the IEEE Signal Processing Society Best Paper Award (2000) and the European Signal Processing (EURASIP) Technical Achievements Award (2010) "for his contribution to synthetic aperture radar, sensor networks and communication networks". He was elected a Fellow of IEEE in 2012 "for his contributions to signal processing, sensor networks and wireless communications".
Dr. Barbarossa has been the Scientific Coordinator of several European projects, focusing on MIMO technologies, wireless sensor networks, radar remote sensing, femtocell networks and wireless cloud computing. His current research interests lie in the area of signal processing for self-organizing networks, bio-inspired signal processing, small cell networks, graph theory, game theory and distributed optimization algorithms.
- Bio-Inspired Signal Processing
- Distributed Estimation and Resource Allocation in Cognitive Networks
Barni, Mauro >> Full Bio and Contact Information << Collapse
Mauro Barni (F) graduated in Electronic Engineering at the University of Florence in 1991. He received the Ph.D. in Informatics and Telecommunications from the same University in October 1995. He has carried out his research activity for almost 20 years first at the Department of Electronics and Telecommunication, University of Florence, then at the Department of Information Engineering, University of Siena, where he works as Associate Professor. During the last decade, his activity has focused on digital image processing and information security, with particular reference to the application of image processing techniques to copyright protection and authentication of multimedia (digital watermarking and multimedia forensics). Lately, he has been studying the possibility of processing signals that have been previously encrypted without decrypting them (signal processing in the encrypted domain – s.p.e.d.).
Prof. Barni was Associate Editor, IEEE Transactions on Circuits and System for Video Technology and IEEE Transactions on Information Forensics and Security (2009-Present); Chair, IEEE Multimedia Signal Processing Workshop (2004); International Workshop on Digital Watermarking (2005); Technical Program Chair, Information Hiding Workshop (2005); International Workshop on Digital Watermarking (2009; Guest or Co-Guest Editor of five special issues in international peer-reviewed journals and 10 special sessions in international conferences in the field of multimedia security; Associate Editor, IEEE Signal Processing Magazine (column and forum section) (2003-2006), IEEE Signal Processing Letters (2005-2008), IEEE Transactions on Multimedia (2003), EURASIP Journal of Applied Signal Processing, and IET Proceedings on Information Security; Member and Chair, SPS Information Forensic and Security Technical Committee (2006-present and 2010-2011, respectively); and Member, SPS Multimedia Signal Processing Technical Committee (2001-2005) and SPS Conference Board (2002-2004). Prof. Barni was the recipient of SPS Signal Processing Magazine Best Column Award (2008), and the IEEE Transactions on Geoscience and Remote Sensing Best Paper Award (2010). Prof. Barni is a Fellow of the IEEE, Senior Member of EURASIP, and founding Editor-in-Chief, EURASIP Journal on Information Security (2006 to 2009).l 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".
Prof. Barni is author/co-author of about 250 papers published in international journals and conference proceedings, and holds four patents in the field of digital watermarking and printed documents authentication. He is co-author of the book "Watermarking Systems Engineering: Enabling Digital Assets Security and Other Applications", published by Dekker Inc. Published in February 2004. He is editor of the book “Document and Image Compression” published by CRC-Press in 2006.
Prof. Barni participated in several National and European research projects on diverse topics, including digital watermarking, information security, signal processing in the encrypted domain, multimedia forensics. In particular, he has been the coordinator of the project SPEED – Signal Processing in the EncryptEd Domain funded by the EC under the FP6 (FET – program) and the coordinator of the Italian project: Priv-Ware: Privacy aware processing of encrypted signals for treating sensitive information, funded by the Italian Ministry (2009-2010). He is currently leading the VIPP (Visual Information Processing and Protection) group of the Telecommunication Laboratory of the Information Engineering Department at the University of Siena (http://clem.dii.unisi.it/~vipp/).
- Digital Watermarking: Old and New
- Signal Processing in the Encrypted Domain
- Multimedia Forensics: A Game Theoretic Approach
- Adversarial Signal Processing
Heath Jr., Robert W. >> Full Bio and Contact Information << Collapse
Robert W. Heath Jr. (F) received the B.S. and M.S. degrees from the University of Virginia, Charlottesville, VA, in 1996 and 1997 respectively, and the Ph.D. from Stanford University, Stanford, CA, in 2002, all in electrical engineering. He was a Senior Member of the Technical Staff then a Senior Consultant at Iospan Wireless Inc, San Jose, CA, from 1998 to 2001. Since January 2002, he has been with the Department of Electrical and Computer Engineering at The University of Texas at Austin where he is a Professor and Director of the Wireless Networking and Communications Group. He is also President and CEO of MIMO Wireless Inc. and Chief Innovation Officer at Kuma Signals LLC.
Dr. Heath has been Editor, IEEE Transactions on Communication; Associate Editor, IEEE Transactions on Vehicular Technology; Lead Guest Editor, IEEE Journal on Selected Areas in Communications Special Issue on Limited Feedback Communication; and Lead Guest Editor, IEEE Journal on Selected Topics in Signal Processing Special Issue on Heterogenous Networks; Member, IEEE Transactions on Wireless Communications Steering Committee; Member, IEEE SPS Signal Processing for Communications Technical Committee; Current Chair, IEEE COMSOC Communications Technical Theory Committee; Technical Co-Chair, Vehicular Technology Conference (2007); General Chair, Communication Theory Workshop (2008); General Co-Chair, Technical Co-Chair, and Co-Organizer, IEEE Signal Processing for Wireless Communications Workshop (2009); Local Co-Organizer, IEEE CAMSAP Conference (2009); Technical Co-Chair, IEEE International Symposium on Information Theory (2010); Technical Chair, Asilomar Conference on Signals, Systems, and Computers (2011); General Chair, Asilomar Conference on Signals, Systems, and Computers (2013); General Co-Chair, IEEE GlobalSIP Conference (2013); Technical Co-Chair, IEEE GLOBECOM Conference (2014).
Dr. Heath was a co-author of best student paper awards at IEEE VTC 2006, WPMC 2006, IEEE GLOBECOM 2006, IEEE VTC 2007, and IEEE RWS 2009; co-recipient of the Grand Prize in the 2008 WinTech WinCool Demo Contest; co-recipient of the 2010 EURASIP Journal on Wireless Communications and Networking Best Paper Award; 2003 Frontiers in Education New Faculty Fellow; recipient of the David and Doris Lybarger Endowed Faculty Fellowship in Engineering.
Dr. Heath’s research interests include several aspects of wireless communication and signal processing: limited feedback techniques, multihop networking, multiuser and multicell MIMO, interference alignment, adaptive video transmission, manifold signal processing, and millimeter wave communication techniques.
Robert W. Heath Jr.
The University of Texas at Austin
Wireless Networking and Communications Group
1 University Station C0803
Austin, TX 78704-0240
- Coexistence in Heterogeneous Networks
- The Limited Feedback Revolution in Wireless Communication
- Perceptual Optimization of Wireless Video Networks
- A Practical Assessment of Interference Alignment
- New Frontiers in Feedback for Interference Alignment
- Link Adaptation for MIMO-OFDM Based on Machine Learning
- Signal Processing Opportunities in mmWave Systems
Mathews, V. John >> Full Bio and Contact Information << Collapse
V. John Mathews (F) is a Professor of Electrical and Computer Engineering at the University of Utah. He received his Ph. D. and M.S. degrees in Electrical and Computer Engineering from the University of Iowa, Iowa City, Iowa in 1984 and 1981, respectively, and the B. E. (Hons.) degree in Electronics and Communication Engineering from the University of Madras, India in 1980. At the University of Iowa, he was a Teaching/Research Fellow (1980-1984) and a Visiting Assistant Professor in the Department of Electrical and Computer Engineering during the 1984-85 academic year. He joined the Department of Electrical Engineering at the University of Utah in 1985, where he is engaged in teaching signal processing classes and conducting research in signal processing algorithms. He served as the Chairman of the department from 1999 to 2003.
Dr. Mathews was elected a Fellow of IEEE in 2002 "for contributions to the theory and application of nonlinear and adaptive filtering" and has served as a member, Signal Processing Theory and Methods (formerly Digital Signal Processing) Technical Committee (1992-2001, 2012-present), the Education Committee (1995-2001), the Conference Board (2003-2005, 2009-2011) and the Publication Board (2003-2005, 2009-2011) of the IEEE Signal Processing Society. He was elected to the Board of Governors of the IEEE Signal Processing Society in 2003. He was Vice President-Finance (2003-2005); Vice President-Conferences (2009-2011); Associate Editor, IEEE Transactions on Signal Processing (1989-1991) and the IEEE Signal Processing Letters (1993-1998); Editorial Board Member, IEEE Journal of Selected Topics in Signal Processing (2006-2010) and the IEEE Signal Processing Magazine (2005-2007, 2012-present). He has served on the organization committees of several international technical conferences including as General Chairman of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2001). He is a recipient of the Distinguished Alumni Award from the National Institute of Technology, Tiruchirappalli, India (2008-2009), IEEE Utah Section's Engineer of the Year Award (2001), and the Utah Engineers Council's Engineer of the Year Award (2011).
Dr. Mathews’ current research interests are in nonlinear and adaptive signal processing and application of signal processing techniques in audio and communication systems, biomedical engineering, and structural health management. He has also contributed in the areas of perceptually-tuned image compression and spectrum estimation techniques. He is the author of the book Polynomial Signal Processing, published by Wiley, and co-authored with Professor G. L. Sicuranza, University of Trieste, Italy. He has published more than 130 technical papers.
V. John Mathews
Department of Electrical and Computer Engineering
50 S. Central Campus Drive, Room 3280 MEB
University of Utah
Salt Lake City, Utah 84112-9206
- Adaptation and Equalization of Nonlinear Systems
- Signal Processing for Health Monitoring of Aerospace Structures
- Signal Processing for Diagnostic Medicine
- Neural Decoding and Restoration of Motor Skills in Patients with Disorders of the Nervous System
Ostendorf, Mari >> Full Bio and Contact Information << Collapse
Mari Ostendorf (F) received the B.S., M.S. and Ph.D. degrees in 1980, 1981, and 1985, respectively, all in electrical engineering from Stanford University, Stanford, CA. In 1985, she joined the Speech Signal Processing Group at BBN Laboratories, where she worked on low-rate coding and acoustic modeling for speech recognition. She joined the Electrical and Computer Engineering Department at Boston University in 1987 and since 1999, she has been in the Electrical Engineering Department at the University of Washington, where she is an Endowed Professor of System Design Methodologies. She has been a visiting researcher at ATR in Japan and at the University of Karlsruhe in Germany. From 2010-2012, she served as the Associate Dean for Research and Graduate Studies in the College of Engineering. In 2012-2013, she will be serving as a Scottish Informatics and Computer Science Alliance Distinguished Visiting Fellow in Edinburgh and an Australia-America Fulbright Scholar at Macquarie University. She teaches both undergraduate and graduate courses on signal processing, and has supervised more than 30 PhD students. Her research interests are in dynamic statistical models for spoken language processing, resulting in over 200 publications.
Dr. Ostendorf’s editorial activities include: US Editor, Computer Speech and Language (CSL) (1998-2003); Editor-in-Chief, IEEE Transactions on Audio, Speech, and Language Processing (TASLP) with concurrent membership on the SPS Publications Board (2006-08); editorial boards of CSL (1993-2005), IEEE Transactions on Audio & Speech Processing (2005), and Computational Linguistics (2005-2007). She also edited an IMA paper compilation entitled "Mathematical Foundations of Speech and Language Processing," published in 2004.
Dr. Ostendorf’s other SPS activities include: Member-at-Large, SPS Board of Governors (2009-2011); Member, Awards Board (2008); Member, Speech Processing Technical Committee (1990-1993), Education Standing Committee (1992-1995); Co-Chair, 2010 IEEE Workshop on Spoken Language Technology; and serving on technical committees and as session chairs for numerous conferences and workshops. She is a Member of IEEE Women in Engineering, and she is also active in the broader language technology research community, having served on the ISCA Advisory Board, as the General Chair of the 2009 NAACL HLT Conference, and on other advisory boards.
Dr. Ostendorf is an IEEE Fellow and a Fellow of the International Speech Communication Association (ISCA). She was awarded the IEEE Hewlett-Packard/Harriett B. Rigas Award for contributions to electrical engineering education in 2010 and received an SPS Best Paper Award in 1999.
Endowed Professor of System Design Methodologies
Electrical Engineering Department
Coordinated Science Laboratory and ECE Department
University of Washington
185 Stevens Way
Paul Allen Center - Room AE100R
Campus Box 352500
Seattle, WA 98195-2500
- Rich Speech Transcription for Spoken Document Processing
- Spoken Language as a Signal: A Continuous Space Approach
- Parsing Spoken Language
- Extracting Social Meaning from Language
- Representations of Prosody in Computational Models for Language Processing