ESE Seminars & Events

ESE Colloquium: Fall 2012 - Spring 2013

Seminars will be held in Berger Auditorium at 3:30 PM unless otherwise specified.

Roget Howe September 6 (Joint MEAM/ESE)
Location: Towne 337 | Time: 2:00 PM
Roget Howe, Stanford University
"Nano ElectroMechanical Systems (NEMS) Applications in Information Technology and Energy Conversion"
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Abstract: Micro and nano-fabricated sensors (e.g., accelerometers, gyroscopes, and resonators) and actuators (e.g., light valves for projection and cell-phone displays) are commonplace. In this talk, I’ll briefly review decades of efforts to co-fabricate NEMS and CMOS, to provide the background for introducing a new logic device: the nanoelectromechanical (NEM) relay. At Stanford, we have developed a fabrication process for integrating a lateral (in-plane) electrostatic relay. Early in the project, a system application for NEM relays was identified – implementing the programmable routing for FPGAs. I will review the fabrication challenges, contact physics, and the potential post-CMOS integration of NEM relays.

Many NEMS require hermetically sealed, low-pressure ambients, a need that motivated the development of low-cost, wafer-scale vacuum encapsulation technologies. Over the past several years, my group and others at Stanford have been exploring applications that leverage wafer-level vacuum: thermionic energy conversion and vacuum cavity THz sources. Thermionic energy converters were conceived in 1915, demonstrated in 1939, and were the focus of astronomical investments during the space race by NASA and the Soviet Union. These devices, which achieved 15% efficiency, are suitable for wafer-scale processing, using high-temperature materials developed for harsh-environment sensors and other applications. I will review the current state of wafer-scale thermionic converters and potential applications to micro-cogeneration and concentrated solar power. Thermionic emitters are also useful for electron injection – an essential component a wafer-scale vacuum cavity oscillator. These devices have attractive characteristics for efficient generation of power in the THz frequency range.

Bio: Roger T. Howe is the William E. Ayer Professor in the Department of Electrical Engineering at Stanford University. He received a B.S. degree in physics from Harvey Mudd College and an M.S. and Ph.D. in electrical engineering from the University of California, Berkeley in 1981 and 1984. After faculty positions at Carnegie-Mellon University and MIT from 1984-1987, he returned to UC Berkeley where he was a Professor until 2005. His research interests include nano electromechanical system design, nanofabrication technologies, with applications in energy conversion and biomolecular sensing. A focus of his research has been processes to fabricate integrated microsystems, which incorporate both silicon integrated circuits and MEMS. Prof. Howe has made contributions to the design of MEMS accelerometers, gyroscopes, electrostatic actuators, and microresonators. He is an editor of the IEEE/ASME Journal of Micro-electromechanical Systems, was elected an IEEE Fellow in 1996 and was co-recipient of the IEEE Cledo Brunetti Award in 1998, and was elected to the U.S. National Academy of Engineering in 2005. He co-founded Silicon Clocks, Inc., a start-up company commercializing integrated MEMS resonator-based timing products, which was acquired in April 2010 by Silicon Laboratories, Inc. He is the Faculty Director of the Stanford Nanofabrication Facility and in September 2011, he became Director of the National Nanotechnology Infrastructure Network (NNIN).

Tom Lee September 13
Tom Lee, Stanford University/DARPA
"RF Design: An Introduction to the Dark Arts"
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Abstract: RF design remains such a mystery to many engineers that it seems that a pointy hat and arcane incantations are needed to make oscillators oscillate and amplifiers amplify (and not vice-versa). Part of the reason is that many RF designs must accommodate a large dynamic range and also operate over a large bandwidth centered around a high carrier frequency. As such, there are ample opportunities for various mysteries to emerge, such as the many ways that ever-present parasitics undergo surprising impedance transformations, as well as the sometimes counterintuitive ways that noise and distortion manifests itself in both amplifiers and oscillators. The topic of impedance matching also mystifies many encountering the subject for the first time ("when do we need to worry about matching?"). This talk will attempt to answer such frequently-asked questions about these and other RF-related topics. It is hoped that attendees will ask additional questions that they would like answered.

Bio:Dr. Thomas Lee became the director of the Microsystems Technology Office in April 2011. His interests include analog circuitry of all types, from DC to THz, for communications, sensing (including biosensing) and power conversion. His present research focus is on CMOS RF ICs and vacuum nanoelectronics. Dr. Lee received his Bachelors of Science, Electrical Engineering, Masters of Science, Electrical Engineering, and Doctors of Science, Electrical Engineering from Massachusetts Institute of Technology.

Dr. Lee comes to DARPA from Stanford University where he has been on the faculty since 1994 and currently is a professor of Electrical Engineering. Over the past decade at Stanford University, he has taught and carried out research in the broad area of analog and RF engineering for communications, sensing, power conversion and control. Dr. Lee has received several Outstanding Paper Awards from the International Solid-State Circuits Conference, was recognized as a Distinguished Lecturer, and was presented with the Phi Beta Kappa Teaching Excellence Award. He has published extensively in circuits and systems literature.

Dr. Lee founded/co-founded several companies including Matrix Semiconductor and ZeroG Wireless. He is a member of the Scientific Advisory Board of Singapore’s Institute of Microelectronics, a charter member of Fundacion de la Innovacion (Bankinter, Madrid, Spain), a member of the Board of the Armstrong Memorial Research Foundation, as well as a member of the Institute of Electrical and Electronics Engineers (IEEE). He is the recipient of the 2011 Ho-Am Prize in Engineering, colloquially known as “the Korean Nobel,” awarded for his work in CMOS RF integrated circuits. Dr. Lee currently holds 57 patents and has written or contributed to 9 books.

Anantha Chandrakasan

September 25
Anantha Chandrakasan, Joseph F. and Nancy P. Keithley Professor of Electrical Engineering, Director, MIT Microsystems Technology Laboratories, MIT
"Ultra-Low-Power Systems: Self-powered Wireless Sensors and Portable Multimedia Devices"

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Abstract: Next-generation portable multimedia devices and wireless sensors for health monitoring, will require dramatic reduction in energy consumption. The ultimate goal is to power these devices using energy-harvesting techniques such as vibration-to-electric conversion, or through body heat. A system-level approach must be used to optimize such devices. Relevant considerations include ultra-low-voltage digital circuit operation, application-specific architectures, extreme parallelism, computation vs. communication trade-off, and integrated energy-processing circuits. The use of analog-assisted digital circuits will be critical in dealing with device variability and low-voltage operation. Efficient energy-processing circuits (for generation, buffering, and conversion) is critical in many applications. Several system examples will be shown, covering self-powered wireless biomedical devices and portable multimedia devices. Through a system-level approach, the vision of self-power integrated system.

Bio: Anantha P. Chandrakasan received the B.S, M.S. and Ph.D. degrees in Electrical Engineering and Computer Sciences from the University of California, Berkeley, in 1989, 1990, and 1994 respectively. Since September 1994, he has been with the Massachusetts Institute of Technology, Cambridge, where he is currently the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering.

He was a co-recipient of several awards including the 1993 IEEE Communications Society's Best Tutorial Paper Award, the IEEE Electron Devices Society's 1997 Paul Rappaport Award for the Best Paper in an EDS publication during 1997, the 1999 DAC Design Contest Award, the 2004 DAC/ISSCC Student Design Contest Award, the 2007 ISSCC Beatrice Winner Award for Editorial Excellence and the ISSCC Jack Kilby Award for Outstanding Student Paper (2007, 2008, 2009). He received the 2009 Semiconductor Industry Association (SIA) University Researcher Award. He selected for 2013 IEEE Pederson Award in Solid-State Circuits.
His research interests include micro-power digital and mixed-signal integrated circuit design, wireless microsensor system design, portable multimedia devices, energy efficient radios and emerging technologies. He is a co-author of Low Power Digital CMOS Design (Kluwer Academic Publishers, 1995),  Digital Integrated Circuits (Pearson Prentice-Hall, 2003, 2nd edition), and Sub-threshold Design for Ultra-Low Power Systems (Springer 2006). He is also a co-editor of Low Power CMOS Design (IEEE Press, 1998), Design of High-Performance Microprocessor Circuits (IEEE Press, 2000), and Leakage in Nanometer CMOS Technologies (Springer, 2005).
He has served as a technical program co-chair for the 1997 International Symposium on Low Power Electronics and Design (ISLPED), VLSI Design '98, and the 1998 IEEE Workshop on Signal Processing Systems. He was the Signal Processing Sub-committee Chair for ISSCC 1999-2001, the Program Vice-Chair for ISSCC 2002, the Program Chair for ISSCC 2003, the Technology Directions Sub-committee Chair for ISSCC 2004-2009, and the Conference Chair for ISSCC 2010-2012. He is the Conference Chair for ISSCC 2013. He was an Associate Editor for the IEEE Journal of Solid-State Circuits from 1998 to 2001. He served on SSCS AdCom from 2000 to 2007 and he was the meetings committee chair from 2004 to 2007. He was the Director of the MIT Microsystems Technology Laboratories from 2006 to 2011. Since July 2011, he is the Head of the MIT EECS Department.

Vladimir Stojanovic October 11
Vladimir Stojanovic, Associate Professor of Electrical Engineering, MIT
"Building Modern Integrated Systems: A Cross-cut Approach"
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Abstract:The slowdown in process scaling due to fundamental limitations of transistors and copper wires, has put tremendous challenges on traditional integrated system design methodology and continued performance improvements. These fundamental component limitations (subthreshold transistor leakage and wire capacitance/resistivity) have brought into the focus the need for energy‑efficient cross-cut integrated system design, and the need to accelerate the adoption of promising emerging technologies that overcome these limitations.

This talk illustrates several examples of our cross-cut design methodology, which encompasses cross-layer modeling that connects process, device and circuit optimizations to system-level metrics, as well as design of early characterization platforms to accelerate adoption and provide feedback to modeling and device design. These examples focus on development of integrated information transfer systems (e.g. manycore processor and memory systems, and network communication infrastructure), with scaled electronics, as well as emerging mechanical and photonic devices.

They key observations are that cross-layer modeling and design approach coupled with design of early characterization platforms, set-up the right pathway for development at all layers of design hierarchy (from devices to architecture level) and significantly accelerate the adoption of promising new technologies. Based on these design principles, we project that in the next decade tailored hybrid (electrical/optical and mechanical) integrated systems will provide orders of magnitude performance improvements at the system level.

Bio: Vladimir Stojanovic is the Emanuel E. Landsman Associate Professor of Electrical Engineering and Computer Science at MIT. His research interests include design, modeling and optimization of integrated systems, from CMOS-based VLSI blocks and interfaces to system design with emerging devices like NEM relays and silicon-photonics. He is also interested in design and implementation of energy-efficient electrical and optical networks, and digital communication techniques in high-speed interfaces and high-speed mixed-signal IC design.
Vladimir received his Ph.D. in Electrical Engineering from Stanford University in 2005, and the Dipl. Ing. degree from the University of Belgrade, Serbia in 1998. He was also with Rambus, Inc., Los Altos, CA, from 2001 through 2004. He received the 2006 IBM Faculty Partnership Award, and the 2009 NSF CAREER Award as well as the 2008 ICCAD William J. McCalla, 2008 IEEE Transactions on Advanced Packaging, and 2010 ISSCC Jack Raper best paper awards. He is an IEEE Solid-State Circuits Society Distinguished Lecturer for the 2012-2013 term.

Vahid Tarokh October 18
Levine 307, 11:00 AM
Vahid Tarokh, Professor and Senior Fellow of Electrical Engineering, Harvard University
"Information in Non-linear Regime"
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Abstract: Communications devices (e.g. power amplifiers, and mixers) are inherently nonlinear, and most designers try to make/use devices that manifest almost linear behaviors in certain regions of interest. The operations of communications devices are then limited to the linear regions.

There have been some studies of communications and signal processing in the nonlinear regime, most notably for compensation of amplifier non-linearities. In spite of this, information theory of nonlinear communications is in a primitive stage. A similar assessment can be made of communications and signal processing (for communications) in this regime.

We begin with our recent results on the capacity of non-linear channels. The results indicate that typical compressive non-linearities limit the system capacity at high signal to noise ratios. We recover Shannon's famous capacity formula when we approach the linear regime. We will then discuss a number of remaining open problems.

As an example of our efforts in signal processing, we consider the identification of nonlinear channels represented by an unknown but small number of dominant non-linear modes (e.g. Volterra series terms), and talk about the development of a number of recursive online algorithms for adaptive identification of such non-linear channels. These algorithms provide significant improvement over the conventional algorithms even when restricted to linear regime, both in terms of mean squared error (MSE) and computational complexity. Gains in the order of 19 dB can be achieved at much lower complexities with an on-line implementation in some typical cases.

Bio: Vahid Tarokh received the Ph.D. degree in Electrical Engineering in 1995. He worked at AT&T Labs-Research and AT&T Wireless Services until 2000 where he was (in chronological order) Senior Member of Technical Staff, Principal Member of Technical Staff and Head of Department of Wireless Communications and Signal Processing. In 2000, he joined the Electrical Engineering Department at MIT as an Associate Professor where he taught for 2 years. He then joined Harvard faculty and was appointed a Gordon MacKay Professor of Electrical Engineering in 2002. He was named Perkins Professor and Vinton Hayes Senior Research Fellow of Electrical Engineering in 2005.

Tarokh's research results of last 18 years are summarized in about 60 research journal papers that are cited about 24,000 times by other scholars. He was one of the Top 10 Most Cited Researchers in Computer Science according to the ISI Web of Science during every quarter for the period 2002-2008. He holds 2 honorary degrees.

The concepts that Tarokh has invented in late 1990's and early 2000's are part of numerous wireless communication standards (LTE, WiMax, HSPA, UMTS, IEEE 802.16e, ANSI IS136, etc.) and signal processing systems. By some estimates, his innovations are used in more than one billion wireless devices worldwide. Additionally during that period, he was a member of the five man team that co-designed the first commercialized third generation (1xEVDO) Air to Ground/Ground to Air communications system (now deployed on various US and Canadian airlines) for WiFi in cabin.

Since early 2000's, his research interests evolved into biological signal processing, localization of masses inside human body, and tomography of moving body parts (e.g. Coronary MRI).

Jan Rabaey October 25
Jan Rabaey, Donald O. Pederson Distinguished Professor, University of California at Berkeley
"From Mobiles to Swarms – The Wireless Revolution Continues"
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Abstract: Mobile devices such as laptops, netbooks, tablets, smart phones and game consoles have become our de facto interface to the vast amount of information delivery and processing capabilities of the cloud. The move to mobility has been enabled by the dual forces of ubiquitous wireless connectivity combined with the increasing energy efficiency offered by Moore's law.

Yet, a major component of the mobile remains largely untapped: the capability to interact with the world immediately around us. A third layer of information acquisition and processing devices - commonly called the sensory swarm - is emerging, enabled by even more pervasive wireless networking and the introduction of novel ultra-low power technologies. This gives rise to the true emergence of concepts such as cyber-physical and cyber-biological systems, immersive computing, augmented reality, and “unPads”.

The functionality of the swarm arises from connections of devices, leading to a convergence between Moore’s and Metcalfe’s laws, in which scaling refers not any longer to the number of transistors per chip, but rather to the number of interconnected devices.  Enabling this fascinating paradigm – which represents true wireless ubiquity – still requires major breakthroughs on a number of fronts. Providing the always-connected abstraction and the reliability needed for many of the intended applications requires a careful balancing of resources that are in high demand: spectrum, energy, computation and storage. The presentation will outline a platform vision for swarms and articulate the need for a mediation layer – the SwarmOS – as an essential component for this compelling paradigm to reach true economy of scale.

Bio: Jan Rabaey received his Ph.D degree in applied sciences from the Katholieke Universiteit Leuven, Belgium. After being connected to UC Berkeley as a Visiting Research Engineer, he was a research manager at IMEC, Belgium. In 1987, he joined the faculty of the Electrical Engineering and Computer Science department of the University of California, Berkeley, where he now holds the Donald O. Pederson Distinguished Professorship. From 1999 until 2002, he served as the Associate Chair of the EECS Dept of UC Berkeley. He is currently the scientific co-director of the Berkeley Wireless Research Center (BWRC), as well as the director of the FCRP Multiscale Systems Research Center (MuSyC).

He is the recipient of a wide range of awards, amongst which IEEE Fellow, the 2008 IEEE CAS Society Mac Van Valkenburg Award, the 2009 European Design Automation Association (EDAA) Lifetime Achievement award, and the 2010 SIA University Researcher Award.

His research interests include the conception and implementation of next-generation integrated wireless systems.

Prof. Rabaey serves on the technical advisory board of a range of companies and research institutes focused in the areas of design automation, semiconductor intellectual property and wireless systems.

Stephen Boyd November 2
Location: Wu and Chen Auditorium, Levine Hall| Time: 3:15 PM
Stephen Boyd, Stanford University
"Convex Optimization: From embedded real-time to large-scale distributed"
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Abstract: Convex optimization has emerged as useful tool for applications that include data analysis and model fitting, resource allocation, engineering design, network design and optimization, finance, and control and signal processing. After an overview, the talk will focus on two extremes: real-time embedded convex optimization, and distributed convex optimization.   Code generation can be used to generate extremely efficient and reliable solvers for small problems, that can execute in milliseconds or microseconds, and are ideal for embedding in real-time systems.  At the other extreme, we describe methods for large-scale distributed optimization, which coordinate many solvers to solve enormous problems.

Bio: Stephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He also has courtesy appointments in Computer Science and Management Science and Engineering, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, and circuit design.

Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985.  In 1985 he joined the faculty of Stanford’s Electrical Engineering Department.

He is the author of many papers and three books: Linear Controller Design: Limits of Performance (with Craig Barratt, 1991), Linear Matrix Inequalities in System and Control Theory (with L. El Ghaoui, E. Feron, and V. Balakrishnan, 1994), and Convex Optimization (with Lieven Vandenberghe, 2004). His group has produced several open source tools, including CVX (with Michael Grant), a widely used parser-solver for convex optimization.

Bruce Hajek November 8
Bruce Hajek, UIUC
"Mechanism Design and Wireless Spectrum Auctions"
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Abstract: This talk will focus on theory and practice of combinatorial auctions and their application to the sale of wireless spectrum licenses. As new wireless applications emerge worldwide, the wireless industry and government regulators are looking to reallocate wireless spectrum to better match the demand. Combinatorial auctions can play an effective role in the allocation process, but important implementation and theoretical issues remain. The talk will include an overview of recent research on the use of profit sharing contracts and core projecting auctions. (Joint work with Vineet Abhishek and Prof. Steven Williams)

Bio:Bruce Hajek received the BS in Mathematics and MS in Electrical Engineering from the University of Illinois and the Ph. D. in Electrical Engineering from the University of California at Berkeley. Since 1979 he has been on the faculty of the Department of Electrical and Computer Engineering and the Coordinated Science Laboratory, at the University of Illinois at Urbana-Champaign. Dr. Hajek pursues basic research in the area of modeling, analysis, and optimization in communication systems and networks. His recent research has focused on two distinct areas: (1) resource allocation based on game theory, and (2) peer-to-peer network protocols. He received the IEEE Kobayashi Award for Computer Communications and the Donald P. Eckman Award of the IEEE Control Systems Society. He was elected to the US National Academy of Engineering in 1999.

Tsuhan Chen November 29
Tsuhan Chen, Cornell
"Understanding Photos of People Using Social Context"
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Abstract: Our eyes and brains are fine-tuned to view and analyze images of people. When we view an image of people, we can make judgment very effectively. For example, we can easily come up with demographic descriptions of people in the image. We can also answer other questions related to the activities of, and relationships between, people in the image. All that reasoning happens not only because of what our eyes see, but also how our brain draws "prior," or context, from experiences. In this talk, we will present some recent discovery in how computer algorithms can be developed to do the same as our brain, that is, to use social context to understand photos of people. This approach has a lot of potential, as the number of photos shared by users of social networks increases exponentially.

Bio: Tsuhan Chen has been with Cornell University, Ithaca, New York, since January 2009, where he is the David E. Burr Professor of Engineering and Director of the School of Electrical and Computer Engineering. From October 1997 to December 2008, he was with the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, as Professor, and as Associate Department Head in 2007-2008. From August 1993 to October 1997, he worked at AT&T Bell Laboratories, Holmdel, New Jersey. He received the M.S. and Ph.D. degrees in electrical engineering from the California Institute of Technology, Pasadena, California, in 1990 and 1993, respectively. He received the B.S. degree in electrical engineering from the National Taiwan University in 1987. He received the Benjamin Richard Teare Teaching Award in 2006, and the Eta Kappa Nu Award for Outstanding Faculty Teaching in 2007. He was elected to the Board of Governors, IEEE Signal Processing Society, 2007-2009, and a Distinguished Lecturer, IEEE Signal Processing Society, 2007-2008. In 2012, he was elected as the Vice President of ECE Department Head Association, and will serve as the President in 2013. He is a Fellow of IEEE.

Keren Bergman March 14
Keren Bergman, Columbia University
"Scalable computing systems with optically enabled data movement"
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Abstract: Performance scalability of computing systems built upon multicore architectures are becoming increasingly constrained by limitations in power dissipation, chip packaging, and the data throughput achievable by the on- and off-chip interconnection networks. Future performance gains are impeded by the challenges of an increasing portion of the power budget consumed by global communication among the processing cores. The power dissipation problem is further exacerbated for off-chip communication due to limited on-chip power budget and available I/O. These challenges have emerged as the key barriers to realizing the required memory bandwidths and system wide data movement. Recent advances in chip-scale silicon photonic technologies have created the potential for developing optical interconnection networks that offer highly energy efficient communications and significantly improve computing performance-per-Watt. This talk will examine the design and performance of photonic networks-on-chip architectures that support both on-chip communication and off-chip memory access in an energy efficient manner. Current challenges of inserting nanophotonic interconnect technologies in future computing systems will be discussed.

Bio: Keren Bergman is the Charles Batchelor Professor and Chair of Electrical Engineering at Columbia University where she also directs the Lightwave Research Laboratory. She leads multiple research programs on optical interconnection networks for advanced computing systems, data centers, optical packet switched routers, and chip multiprocessor nanophotonic networks-on-chip. Dr. Bergman holds a Ph.D. from M.I.T. and is a Fellow of the IEEE and of the OSA. She currently serves as the co-Editor-in-Chief of the IEEE/OSA Journal of Optical Communications and Networking.

Naresh Shanberg March 21
Naresh Shanberg, University of Illinois at Urbana-Champaign
"Computing in the Nanoscale Era"
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Abstract: Moore's Law has been the driving force behind the exponential growth in the semiconductor industry for the past five decades years. Today, power and reliability challenges threaten the continuation of Moore's Law. This talk will describe a statistical design paradigm for computing on nanoscale fabrics. This paradigm views nanometer SOCs are miniature communication networks, and exploits the principles of reliable information transfer developed by communication system designers and information theorists over the past six decades to achieve energy-efficiency and reliability in nanoscale fabrics. Key elements of this paradigm are the use of statistical signal processing and machine learning principles, equalization and error-control, for designing error-resilient on-chip computation, communication, storage, and mixed-signal analog front-ends. The notions of stochastic computing and system-assisted mixed-signal design emerge when the communications-inspired view is applied to computing and mixed-signal design, respectively. The talk will provide a historical perspective, demonstrate examples of communications-inspired designs of on-chip sub-systems such as low-power filtering, video compression, PN-code acquisition, and on-chip and off-chip interconnect design. Related on-going research in the Focus Center Research Program (FCRP) including its new STARnet phase, will also be described.

Bio: Naresh R. Shanbhag his doctorate from the University of Minnesota (1993) in Electrical Engineering. From 1993 to 1995, he worked at AT&T Bell Laboratories at Murray Hill where he was the lead chip architect for AT&T's 51.84 Mb/s transceiver chips over twisted-pair wiring for Asynchronous Transfer Mode (ATM)-LAN and very high-speed digital subscriber line (VDSL) chip-sets. Since August 1995, he is with the Department of Electrical and Computer Engineering, and the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign, where he is presently a Jack S. Kilby Professor of Electrical and Computer Engineering. His research interests are in the design of robust and energy-efficient integrated circuits and systems for communications including VLSI architectures for error-control coding, and equalization, noise-tolerant integrated circuit design, error-resilient architectures and systems, and system-assisted mixed-signal design. He has more than 200 publications in this area and holds twelve US patents. He is also a co-author of the research monograph Pipelined Adaptive Digital Filters published by Kluwer Academic Publishers in 1994.

Dr. Shanbhag received the 2010 Richard Newton GSRC Industrial Impact Award, became an IEEE Fellow in 2006, received the 2006 IEEE Journal of Solid-State Circuits Best Paper Award, the 2001 IEEE Transactions on VLSI Best Paper Award, the 1999 IEEE Leon K. Kirchmayer Best Paper Award, the 1999 Xerox Faculty Award, the Distinguished Lecturership from the IEEE Circuits and Systems Society in 1997, the National Science Foundation CAREER Award in 1996, and the 1994 Darlington Best Paper Award from the IEEE Circuits and Systems Society.

Dr. Shanbhag served as an Associate Editor for the IEEE Transaction on Circuits and Systems: Part II (97-99) and the IEEE Transactions on VLSI (99-02 and 09-11), respectively. He is the General Chair of the 2013 IEEE Workshop on Signal Processing Systems, was the General co-Chair of the 2012 IEEE International Symposium on Low-Power Design (ISLPED), was the Technical Program co-Chair of the 2010 ISLPED, and served on the technical program (wireline subcommittee) committee of the International Solid-State Circuits Conference (ISSCC) from 2007-11. Dr. Shanbhag lead the Alternative Computational Models in the Post-Si Era research theme, in the DOD and Semiconductor Research Corporation (SRC) sponsored Microelectronics Advanced Research Corporation (MARCO) center under their Focus Center Research Program (FCRP) from 2006-12. Since January 2013, he is the founding Director of the Systems On Nanoscale Information fabriCs (SONIC) Center, a 5-year multi-university center funded by DARPA and SRC under the STARnet phase of FCRP to explore novel computing paradigms for the nanoscale era.

In 2000, Dr. Shanbhag co-founded and served as the Chief Technology Officer of Intersymbol Communications, Inc., a venture-funded fabless semiconductor start-up that provides DSP-enhanced mixed-signal ICs for electronic dispersion compensation of OC-192 optical links. In 2007, Intersymbol Communications, Inc., was acquired by Finisar Corporation, Inc.

  April 5
3:30 to 4:30 p.m., Towne 337
Kevin Zhang, Intel Fellow, Director of Advanced Design Logic Technology Development, Intel Corporation
"Nano-scale VLSI Technologies: Silicon & Beyond"
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Abstract:Silicon based CMOS technology has served as the foundation of modern electronics over the last 40 years. Relentless pursuit of Moore's law has scaled the feature size of today transistor down to 10s nm regime, which is pushing the boundary of classical physics. In this talk, the state of current CMOS technology will be first presented, including the latest introduction of 22nm Tri-gate (3D) transistor for high-volume manufacturing. The talk will then explore a wide range of emerging transistor technologies, including Si nano-wire, III-V/Ge based devices, along with transistors based on quantum effects such as electron tunneling (TFET) and spin torque transfer (STT). The potential benefits of these new devices at circuit level along with challenges for bringing them out of research will be discussed.

Bio:Dr. Kevin Zhang is an Intel Fellow and Director of Advanced Design at Logic Technology Development where he is responsible for advanced circuit technology development for future products across Intel. In this capacity, he is responsible for the development of process design rules, digital circuit libraries, key analog and mixed-signal circuits, and embedded memories at each generation of new process technology. Zhang has published over 50 papers at international conferences and technical journals. He holds 46 US patents in the area of integrated circuit technology. He currently chairs ISSCC Memory Subcommittee. Zhang is an IEEE Fellow.


May 6
Joint ESE and Radiology Seminar
12:00 p.m., Towne 334
Ivana Stojanovic,  Senior Research Scientist, Scientific Systems Company
Sparse learning-based methods for fast angiographic OCT and low-dose CT imaging"

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Abstract: In this talk, we present promising results in two different applications utilizing learned and sparse representations in local dictionaries. In particular, we consider a missing scan inpainting problem for the optical coherence tomography (OCT) and a noise reduction problem for the low-dose X-ray computed tomography (CT) application.

In the first part of the talk, we address the problem of long OCT scanning times required for generation of high-resolution vascular contrast by acquiring data from fewer locations and then using intelligent signal processing to reconstruct the entire imaging field. We demonstrate a reconstruction technique based on sparse and redundant representations over trained dictionaries that can be used to reduce acquisition times and accurately reconstruct angiographic OCT projection images with full vascular detail from a smaller number of B-scans than conventionally required. Our technique for fast angiographic imaging through reconstruction (FAIR), shows excellent reconstruction quality while using only half of the number of B-scans and graceful quality degradation with further undersampling.

In the second part of the talk, we consider image reconstruction from low-dose X-ray CT data. The use of X-ray radiation with its associated increased risk of cancer has strongly motivated the reduction of dose during data acquisition. We propose low-dose CT data reconstruction approaches based on anisotropic sinogram smoothing coupled with sparse local image representation with respect to a learned overcomplete dictionary. The redundant dictionary, learned from normal-dose CT training images, encodes artifact-free image behavior. Our results indicate that our method achieves better reconstruction in terms of texture quality, fine details and noise suppression when compared to other competing approaches.

Bio: Ivana Stojanovic received the M.S. degree in 2007 and the Ph.D. degree in 2012, both in ECE at Boston University under the supervision of Prof. W. Clem Karl. Her thesis focused on compressed sensing applications to synthetic aperture radar, optical coherence tomography and low-dose X-ray computed tomography. Currently she is a senior research scientist at Scientific Systems Company performing research on different topics through SBIR and STTR programs. From 2003-2005, she was with Intel developing (in collaboration with Intel Research Labs) IEEE 802.16 WiMax system. From 1999-2002 she was with Iospan Wireless contributing to the development of the world's first MIMO-OFDM fixed broadband wireless access system.