Biography

Israel Cohen is the Louis and Samuel Seidan Professor of electrical engineering at the Technion – Israel Institute of Technology. He is also a Visiting Professor at Northwestern Polytechnical University, Xi’an, China. He is an IEEE Fellow “for contributions to the theory and application of speech enhancement”, and Distinguished Lecturer of IEEE Signal Processing Society (2019-2020). He received the B.Sc. (1990), M.Sc. (1993) and Ph.D. (1998) degrees in electrical engineering from the Technion. He was a Research Scientist with RAFAEL Research Laboratories, Israel Ministry of Defense (1990-98), and a Postdoctoral Research Associate with the Computer Science Department, Yale University, CT, USA (1998-2001). In 2001 he joined the Electrical Engineering Department of the Technion. His research Interests are Array signal processing, speech enhancement, Noise Estimation, Source Localization, Blind Source Separation, System Identification, Adaptive Filtering, Image Analysis and processing, Deep learning.

Biography

Massimo Alioto is with the ECE Department of the National University of Singapore, where he leads the Green IC group and the Integrated Circuits and Embedded Systems area. Previously, he held positions at the University of Siena, Intel Labs – CRL (2013), University of Michigan - Ann Arbor (2011-2012), University of California – Berkeley (2009-2011), EPFL - Lausanne. He is (co)author of 270+ publications on journals and conference proceedings, and three books with Springer. His primary research interests include ultra-low power circuits and systems, self-powered integrated systems, near-threshold circuits for green computing, widely energy-scalable integrated systems, circuits for machine intelligence, hardware security, and emerging technologies. He is the Editor in Chief of the IEEE Transactions on VLSI Systems, and was Deputy Editor in Chief of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems. Prof. Alioto was the Chair of the “VLSI Systems and Applications” Technical Committee of the IEEE CASS (2010-2012), Distinguished Lecturer (2009-2010), and members of the Board of Governors (2015-2020). He served as Guest Editor of numerous journal special issues, Technical Program Chair of several IEEE conferences (ISCAS 2022, SOCC, PRIME, ICECS, VARI, NEWCAS, ICM), and TPC member (ISSCC, ASSCC).Prof. Alioto is an IEEE Fellow.

Abstract

Aggressive battery shrinkage and its ultimate elimination are a crucial goal for our community, in view of the massive environmental impact of their production and disposal for the expected Trillion of IoT devices that will be deployed in the upcoming decade. From a technological viewpoint, this goal mandates ultra-wide energy adaptation in energy-autonomous integrated systems that are subject to wide variability in power availability, performance target and incoming data context. Adaptation is a prerequisite to assure continuous operation in spite of the limited and widely fluctuating energy source (e.g., battery discharge, harvested power), swift response upon the occurrence of events of interest (e.g., on-chip data analytics), and save energy by leveraging the quality slack offered by the task at hand, while maintaining extremely low consumption in the common case. These requirements have led to the strong demand of a new breed of integrated systems having an extremely wide energy/power scalability and adaptation, beyond conventional voltage scaling. In this talk, new techniques that drastically extend the performance-power scalability of digital circuits and architectures are presented, introducing adapt-ability as replacement of conventional design margining. Silicon demonstrations of better-than-voltage-scaling adaptation to the workload are illustrated for both the data path (i.e., micro-architecture) and the clock path. Adaptation to a very wide range of energy/power availability is also discussed, presenting demonstrations of always-on systems (e.g., microcontrollers, power management units) with power down to sub-nW, and duty-cycled operation down to pW range. Several silicon demonstrations are illustrated to quantify the benefits offered by wide power-performance adaptation, identify opportunities for the decade ahead to drastically reduce the need for batteries, and tackle the environmental challenges that are imposed by “the next trillion batteries”.

Biography

A Alphones received his B.Sc (Applied Sciences) from University of Madras in 1979, B.Tech. from Madras Institute of Technology in 1982, M.Tech. from Indian Institute of Technology Kharagpur in 1984 and Ph.D. degree in Optically Controlled Millimeter wave Circuits from Kyoto Institute of Technology (Japan) in 1992. He was a JSPS visiting fellow from 1996-97 at Japan. During 1997-2001, he was with Centre for Wireless Communications, National University of Singapore mainly involved in the teaching and research on optically controlled passive/active devices. Since 2001 he is Professor at the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. He was Program Director of OPTIMUS (Photonics Centre for Excellence)during 2012-2014, Program Director of MSc Communication Engineering during 2011-2014, and Programme coordinator for research during 2014-2017. He has 35 years of research experience. He has published and presented over 300 technical papers in peer reviewed International Journals and Conferences. He is in the editorial review board of IEEE Microwave Theory and Techniques and Microwave and Wireless Components Letters. His current interests are microwave photonics, wireless power transfer, visible light communication and positioning and metamaterial based leaky wave antennas including multi band filters. His research work has been cited in the book “Millimeter Wave and Optical Integrated Guides and Circuits”, Wiley Interscience publication. He has delivered tutorials and short courses in many international conferences. He had written a chapter on “Microwave Measurements and Instrumentation” in Wiley Encyclopedia of Electrical and Electronic Engineering 2002, and a chapter on “Optically Controlled Phased Array Antennas for UWB RFID Reader” in Wiley’s Handbook of Smart Antennas and RFID Systems in 2010. He has organized many IEEE flagship conferences APMC 2009, MWP 2011, TENCON 2016 and APMC 2019. He was the chairman of IEEE Singapore section and IEICE (Japan) overseas representative. Also he served as a panel member in the IEEE Conference Quality Committee.

Biography

Dr. Sunil Kumar Kopparapu (Senior Member, IEEE; ACM Senior Member India) obtained his doctoral degree in Electrical Engineering from the Indian Institute of Technology, Bombay, India in 1997. His thesis "Modular integration for low-level and high-level vision problems in a multi-resolution framework" provided a broad framework to enable reliable and fast vision processing. Between 1997-2000 he was with the Automation Group, Commonwealth Scientific and Industrial Research Organization (CSIRO), Brisbane, Australia working on practical image processing and 3D vision problems, mainly for the benefit of the Australian mining industry. Prior to joining the Cognitive Systems Research Laboratory (CSRL), Tata Infotech Limited, as a Senior Research Member, in 2001, he was associated with the R&D Group at Aquila Technologies Private Limited, India, as an expert for developing virtual self line of e-commerce products. In his current role as a Principal Scientist with the TCS Research and Innovations - Mumbai, he is actively working in the areas of speech, script, image and natural language processing with a focus on building usable systems for mass use in Indian conditions. He has authored a few books (Bayesian Approach to Image Interpretation (2001), Non-linguistic Analysis of Call Center Conversation (2014), Analyzing Emotions in Spontaneous Speech (2017) and Friendly User Interfaces (2018)) apart from several patents, journal and conference publications.

Biography

Chandra Sekhar Seelamantula obtained a Bachelor of Engineering degree in 1999 with a Gold Medal and Best Thesis Award from the University College of Engineering, Osmania University, India, with a specialization in Electronics and Communication Engineering. He obtained a direct Ph.D. degree in 2005 from the Indian Institute of Science (IISc.), Department of Electrical Communication Engineering. During April 2005--March 2006, he worked as a Technology Consultant for M/s. ESQUBE Communication Solutions Private Limited, Bangalore, and developed proprietary audio coding solutions. In April 2006, he joined the Biomedical Imaging Group, Ecole Polytechnique Federale de Lausanne, Switzerland, as postdoctoral fellow and specialized in the field of Image Processing, Optical-Coherence Tomography, Holography, Splines, Sparse Signal Processing, and Sampling Theories. In 2009, he joined the Department of Electrical Engineering, IISc., Bangalore, where he is currently Associate Professor and directs the Spectrum Lab. He is also Associate Faculty at the Centre for Neuroscience, IISc. In 2013, he received the Prof. Priti Shankar Teaching Award from IISc. He is currently also the Chair of the IEEE Signal Processing Society Bangalore Chapter, a Senior Area Editor of IEEE Signal Processing Letters and an Associate Editor of IEEE Transactions on Image Processing.