Keynote Speeches

DSP on Graphs by Jos¨¦ M. F. Moura
Processing Information in Signal ¨C Old Tricks and New Needs by Biing-Hwang (Fred) Juang

DSP on Graphs

Abstract: Data, big or small, in social networks, evolutionary dynamics, the world-wide-web, or citation networks are indexed by social agents, individuals of a population, web sites, or authors all very different from time marks or image pixels. The relations among these data are captured by a graph and not as simple as with data samples in traditional time series, speech or audio signals, nor as with color samples in images, video, or other multidimensional signals. We extend the traditional concepts, tools, and algorithms in discrete signal processing (DSP), including shift, filter, impulse and frequency response, spectrum, Fourier transform and others and use them to analyze and process signals defined in graphs. Applications illustrate our framework.

Jos¨¦ M. F. Moura is Philip and Marsha Dowd University Professor at Carnegie Mellon University. His research interests are in statistical and algebraic signal processing with current projects emphasizing distributed signal and information processing on graphs. He was the principal investigator of Spiral (www.spiral.net), an interdisciplinary project for automatic generation of software, hardware, or co-designed hardware/software high quality implementations of signal processing applications. He is IEEE Board and Division IX Director, he was President of the IEEE Signal Processing Society (SPS), and was Editor in Chief for the Transactions on Signal Processing (SP). Moura was awarded the IEEE SPS Technical Achievement Award for fundamental contributions to statistical SP and the IEEE SPS Society Award for outstanding technical contributions and leadership in SP. He is a Fellow of IEEE, a Fellow of AAAS, a corresponding member of the Academy of Sciences of Portugal, and a member of the US National Academy of Engineers.



Processing Information in Signal ¨C Old Tricks and New Needs

Abstract: The signal processing community is continuously growing, with technical interests expanding from the classical discipline of filtering and frequency analysis, to new paradigms such as machine learning and intelligent information processing. This exciting movement calls for a revisit to the core skills that a signal-processing professional traditionally espouses, as well as an exploration of the new ideas that have become necessary in this Internet information era. In this commentary talk, we'll stroll through some interesting historical developments in signal processing - how it had become a discipline - and cast new challenges that arise in recent years.

Biing-Hwang (Fred) Juang is currently the Motorola Foundation Chair Professor and a Georgia Research Alliance Eminent Scholar at Georgia Institute of Technology. He is also enlisted as Honorary Chair Professor at several renowned universities. He received a Ph.D. degree from University of California, Santa Barbara. He conducted research at Speech Communications Research Laboratory (SCRL) and Signal Technology, Inc. (STI) on a number of Government-sponsored research projects. Notable accomplishments during the period include development of vector quantization for voice applications, voice coders at extremely low bit rates, 800 bps and around 300 bps, and robust vocoders for use in satellite communications. He subsequently joined the Acoustics Research Department of Bell Laboratories in 1982, working in the area of speech enhancement, coding and recognition. Prof. Juang became Director of Acoustics and Speech Research at Bell Labs in 1996, and Director of Multimedia Technologies Research at Avaya Labs (a spin-off of Bell Labs) in 2001. He joined Georgia Tech in 2002. Prof. Juang has published extensively, including the book "Fundamentals of Speech Recognition", co-authored with L.R. Rabiner, and holds nearly two dozen patents. He received the Technical Achievement Award from the IEEE Signal Processing Society in 1998 for contributions to the field of speech processing and communications and the Third Millennium Medal from the IEEE in 2000. He also received two Best Senior Paper Awards, in 1993 and 1994 respectively, and a Best Paper Awards in 1994, from the IEEE Signal Processing Society. He served as the Editor-in-Chief of the IEEE Transactions on Speech and Audio Processing from 1996 to 2002, and Chair of the IEEE SP Society Fellow Evaluation Committee from 2002 to 2004. He was elected an IEEE Fellow (1991), a Bell Labs Fellow (1999), a member of the US National Academy of Engineering (2004), and an Academician of the Academia Sinica (2006).