SONIC CENTER - Key Persons
Prof. Arbabian is the recipient/co-recipient of the 2016 Stanford University Tau Beta Pi Award for Excellence in Undergraduate Teaching, 2015 NSF CAREER award, 2014 DARPA Young Faculty Award, 2013 Hellman Faculty Scholarship, the 2010-11, 2014-15, and 2016-17 Qualcomm Innovation fellowships, and best paper awards at the 2016 IEEE Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems, 2014 IEEE VLSI Circuits symposium, 2013 IEEE International Conference on Ultra-Wideband (ICUWB), the 2010 IEEE Jack Kilby Award for Outstanding Student Paper at the International Solid-State Circuits Conference, and two time second place Best Student Paper Awards at 2008 and 2011 RFIC symposiums.
Job Titles:
- Professor in the Electrical Engineering and Computer Sciences Department at the University of California
Ana Claudia Arias is a Professor in the Electrical Engineering and Computer Sciences Department at the University of California, Berkeley. Prior to joining the University of California in 2010, she was the Manager of the Printed Electronic Devices Area and a Member of Research Staff at PARC, a Xerox Company, in Palo Alto, CA. She went to PARC in 2003 from Plastic Logic in Cambridge, UK, where she led the semiconductor group. In 2001, she received her Ph.D. on semiconducting polymer blends for photovoltaic devices at the University of Cambridge, UK. Prior to that, she received her master's (1997) and bachelor's (1995) degrees in physics from the Federal University of Paraná in Curitiba, Brazil. Her research focuses on devices based on solution processed materials and application development for flexible sensors and electronic systems. Arias is the chair of the Engineering Science Program at UC Berkeley and the chair of the ThinFilm Electronics Technical Advisory Council.
Andrew C. Singer received the S.B., S.M., and Ph.D. degrees, all in electrical engineering and computer science, from MIT in 1990, 1992, and 1996, respectively. Since 1998, 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, where he currently holds a Fox Family Professorship. From 1996 to 1998, he was a Research Scientist at Sanders, A Lockheed Martin Company in Manchester, New Hampshire, where he designed algorithms, architectures, and systems for a variety of DOD applications. His research spans signal processing and communication systems, information theory and machine learning. His work on the interplay between forward error correction (channel coding) and symbol detection (equalization) is widely cited for its important contributions to turbo-equalization. In 2000, Singer co-founded Intersymbol Communications, Inc., a fabless semiconductor IC company that brought an ADC-based mixed-signal chip-set for electronic dispersion compensation to the optical market. In 2007, Intersymbol was acquired by Finisar Corporation (NASDAQ: FNSR). Singer led the cross-cutting theme on Network Connectivity across the six focus centers of the SRC-funded MARCO focus center research program. His work has led to more than 10 patents and nearly 200 publications. His honors include designation as an IEEE Signal Processing Society distinguished lecturer (2014), IEEE Fellow (2009); an NSF CAREER Award (2000); a Xerox Faculty Research Award (2001); and selection as a Willett Faculty Scholar (2002, 2005). In 2005, he was appointed the Director of the Technology Entrepreneur Center at Illinois, and in 2013 Special Advisor to the Dean for Innovation and Entrepreneurship, where he directs a wide range of entrepreneurship activities for the University.
Boris Murmann joined Stanford University in 2004, where he currently serves as a Professor of Electrical Engineering. He received the Ph.D. degree in electrical engineering from the University of California at Berkeley in 2003. From 1994 to 1997, he was with Neutron Microelectronics, Germany, where he developed low-power and smart-power ASICs in automotive CMOS technology. Dr. Murmann's research interests are in the area of mixed-signal integrated circuit design, with special emphasis on data converters and sensor interfaces. In 2008, he was a co-recipient of the Best Student Paper Award at the VLSI Circuits Symposium in 2008 and a recipient of the Best Invited Paper Award at the IEEE Custom Integrated Circuits Conference (CICC). He received the Agilent Early Career Professor Award in 2009 and the Friedrich Wilhelm Bessel Research Award in 2012. He has served as an Associate Editor of the IEEE Journal of Solid-State Circuits and as the Data Converter Subcommittee Chair of the IEEE International Solid-State Circuits Conference (ISSCC). He is the program chair for the ISSCC 2017 and a Fellow of the IEEE.
David Blaauw received his B.S. in physics and computer science from Duke University in 1986 and his Ph.D. in computer science from the University of Illinois at Urbana-Champaign in 1991. Until August 2001, he worked for Motorola, Inc. in Austin, TX, where he was the manager of the High Performance Design Technology group and won the Motorola Innovation award. Since August 2001, he has been on the faculty of the University of Michigan, where he is a Professor. He has published over 450 papers, has received numerous best paper awards and nominations, and holds 45 patents. His research has a threefold focus. He has investigated adaptive computing to reduce margins and improve energy efficiency using a new approach he pioneered, called Razor, for which he received the Richard Newton GSRC Industrial Impact Award. He has active research in resilient circuit design for wearout and error-prone silicon. His latest work is focused on ultra-low-power computing using near-threshold and subthreshold computing for millimeter sensor systems and high-performance serve farms. That work recently led to a processor design with record low power consumption, which was selected as one of the year's most significant innovations by MIT's Technology Review. He was general chair of the IEEE International Symposium on Low Power, the technical program chair for the ACM/IEEE Design Automation Conference, and a several-year member of the IEEE International Solid-State Circuits Conference's technical program committee. He is an IEEE Fellow.
David Dashifen Kees has been working for the University of Illinois since July 2004. He started working as a web and database specialist for the Department of Mechanical Science and Engineering, and during his time with that department, he assisted in the creation, maintenance, and designs for the websites of the Nano-CEMMS and WaterCAMPWS Centers, two NSF funded research centers. Leveraging that experience, David has brought his expertise in web programming, data collection and analysis, and user interface design to the SONIC Center in June of 2013. He is a full-time employee with the College of Engineering IT Shared Services unit and works remotely in Virginia.
Elad Alon received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from Stanford University in 2001, 2002, and 2006, respectively. In Jan. 2007, he joined the University of California at Berkeley, where he is now a Professor of Electrical Engineering and Computer Sciencesa as well as a co-director of the Berkeley Wireless Research Center (BWRC). He has held co-founding, consulting, or visiting positions at Locix, Lion Semiconductor, Cadence, Wilocity (now Qualcomm), Xilinx, Sun Labs (now Oracle Labs), Intel, AMD, Rambus, Hewlett Packard, and IBM Research, where he worked on digital, analog, and mixed-signal integrated circuits for computing, test and measurement, and high-speed communications. Dr. Alon received the IBM Faculty Award in 2008, the 2009 Hellman Family Faculty Fund Award as well as the 2010 and 2017 UC Berkeley Electrical Engineering Outstanding Teaching Award, and has co-authored papers that received the 2010 ISSCC Jack Raper Award for Outstanding Technology Directions Paper, the 2011 Symposium on VLSI Circuits Best Student Paper Award, the 2012 and 2013 Custom Integrated Circuits Conference Best Student Paper Award, and the 2010-2016 Symposium on VLSI Circuits Most Frequently Cited Paper Award. His research focuses on energy-efficient integrated systems, including the circuit, device, communications, and optimization techniques used to design them.
Eric Pop received his Ph.D. in EE from Stanford (2005), the M.Eng./B.S. in EE and B.S. in Physics from MIT. Between 2005-2007, he did post-doctoral work at Stanford, then worked at Intel on nonvolatile memory. He was with the Electrical & Computer Engineering (ECE) department at UIUC, first as Assistant (2007-2012) and then Associate Professor with tenure (2012-2013). He joined the Electrical Engineering faculty at Stanford in 2013 as an Associate Professor. His research interests are in energy efficient electronics, novel 2-D and 1-D devices and materials, and nanoscale energy conversion and harvesting. His awards include the 2010 Presidential (PECASE) award from the White House, the highest honor given by the US government to Early-Career Scientists and Engineers. He is also a recipient of the ONR Young Investigator Award (2010), the NSF CAREER Award (2010), the AFOSR Young Investigator Award (2010), the DARPA Young Faculty Award (2008), the Arnold O. Beckman Research Award (2007), several best paper/poster and teaching/advising awards. He is presently the Technical Program Chair for the IEEE Device Research Conference (DRC), and has also served on program committees of the IEDM, APS, ISDRS, and Nano-DDS conferences. He is an IEEE Senior member, and a member of MRS and APS.
Job Titles:
- Joseph R. Ripley Professor of Engineering
Farhan Rana is the Joseph R. Ripley Professor of Engineering and the Associate Director of Electrical and Computer Engineering at Cornell University. He received the B.S., M.S.(1997), and Ph.D. (2003) degrees all in Electrical Engineering from the Massachusetts Institute of Technology (MIT). Before starting the Ph.D., he worked at IBM's T. J.Watson Research Center on Silicon nanocrystal and quantum dot flash memory devices. He joined the faculty of Electrical and Computer Engineering at Cornell University, Ithaca, NY, in 2003 and started the semiconductor nanostructures and optoelectronics research group. He has more than 200 publications in refereed journals and conferences. He received the US DefenseAdvanced Research Projects Agency (DARPA) Young Faculty Award in 2008, the US National Science Foundation (NSF) CAREER Award in 2004, the ILX Lightwave Faculty Award in 2005, Cornell's Michael A. Tien Excellence in Teaching Award in 2006, and the College of Engineering Teaching Award in 2010. He has also received several best paper awards including the "Most Downloaded Paper" title in 2008 by the IEEE Transactions on Nanotechnology. In 2013, he was ranked among the top 10 professors at Cornell University by the Business Insider magazine. He was awarded the Cornell's College of Engineering Outstanding Research Award in 2016.
Gregory W. Wornell received the B.A.Sc. degree (with honors) from the University of British Columbia, Canada, and the S.M. and Ph.D. degrees from the Massachusetts Institute of Technology, all in Electrical Engineering and Computer Science, in 1985, 1987 and 1991, respectively.
Since 1991 he has been on the faculty at MIT, where he is the Sumitomo Professor of Engineering in the department of Electrical Engineering and Computer Science. At MIT he leads the Signals, Information, and Algorithms Laboratory within the Research Laboratory of Electronics. He is also chair of Graduate Area I (Information and System Science, Integrated Electronic and Photonic Systems, Physical Science and Devices, and Bioelectrical Science and Engineering) within the EECS department's doctoral program. He has held visiting appointments at the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, CA, in 1999-2000, at Hewlett-Packard Laboratories, Palo Alto, CA, in 1999, and at AT&T Bell Laboratories, Murray Hill, NJ, in 1992-3.
His research interests and publications span the areas of signal processing, information theory, statistical inference, and digital communication, and include digitally-enhanced analog circuits and systems, algorithms and architectures for wireless and sensor networks, multimedia applications, and imaging systems, and aspects of computational biology and neuroscience. He has been involved in the Signal Processing and Information Theory societies of the IEEE in a variety of capacities, including serving on the Executive Editorial Board of the IEEE Transactions on Information Theory and the Senior Editorial Board of IEEE Signal Processing Magazine, and maintains a number of close industrial relationships and activities. He has won a number of awards for both his research and teaching, and is a Fellow of the IEEE.
Jeffrey Weldon received the Ph.D. in electrical engineering from the University of California, Berkeley, in 2005. He is currently an Assistant Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University. His research interests are in the areas of nanoscale device design and heterogeneous integration with CMOS. Weldon was the corecipient of the 2002 International Solid-State Circuits Conference (ISSCC) Lewis Winner Award for Outstanding Paper and was the co-recipient of the 1998 ISSCC Jack Kilby Award for Outstanding Student Paper. He is a member of the ISSCC Student Research Preview committee.
John A. Rogers obtained B.A. and B.S. degrees in chemistry and in physics from the University of Texas, Austin, in 1989. From MIT, he received S.M. degrees in physics and in chemistry in 1992 and the Ph.D. degree in physical chemistry in 1995. From 1995 to 1997, Rogers was a Junior Fellow in the Harvard University Society of Fellows. He joined Bell Laboratories as a Member of Technical Staff in the Condensed Matter Physics Research Department in 1997, and served as Director of this department from the end of 2000 to 2002. He is now the Lee J. Flory-Founder Chair in Engineering at the University of Illinois at Urbana-Champaign, with a primary appointment in the Department of Materials Science and Engineering. Rogers's research includes fundamental and applied aspects of materials and patterning techniques for unusual electronic and photonic devices, with an emphasis on bio-integrated and bio-inspired systems. He has published more than 300 papers and is inventor on more than 80 patents, more than 50 of which are licensed or in active use. Rogers is a Fellow of the IEEE, APS, MRS, and AAAS, and he is a member of the National Academy of Engineering. His research has been recognized with many awards, including a MacArthur Fellowship in 2009 and the Lemelson-MIT Prize in 2011.
Kaustav Banerjee is Professor of Electrical and Computer Engineering and Director of the Nanoelectronics Research Lab at UC Santa Barbara. Initially trained as a physicist, he graduated from UC Berkeley with a PhD in electrical engineering in 1999. His current research focuses on the physics, technology and applications of low-dimensional materials such as graphene and other 2D materials for next-generation green electronics, photonics and bioelectronics.
Professor Banerjee has made seminal contributions in nearly every aspect of nanoelectronics and his ideas and innovations have played a decisive role in steering worldwide research. His research into low-power electronics, including 3D ICs and thermal-aware IC design, has found wide scale implementation in the semiconductor industry. His research group has also spearheaded the use of 2D materials for overcoming power dissipation and other fundamental challenges in nanoscale transistors, interconnects and sensors including the demonstration of world's thinnest channel tunneling transistor that switches at 0.1V (Nature, 2015). Professor Banerjee's technical contributions have been recognized with numerous awards and honors including the prestigious Friedrich Wilhelm Bessel Research Award, presented to him in 2011 by Alexander von Humboldt Foundation, Germany, for his outstanding contributions to nanoelectronics, and a JSPS Invitation Fellowship from the Japan Society for the Promotion of Science in 2013, for his research on 2D materials and devices. Professor Banerjee is a Fellow of IEEE and the American Physical Society, and a recipient of the 2015 Kiyo Tomiyasu Award, one of IEEE's highest honors.
Job Titles:
- Assistant Professor
- Member of Tau Beta Pi
Lav R. Varshney is an assistant professor in the Department of Electrical and Computer Engineering, a research assistant professor in the Coordinated Science Laboratory, and a research affiliate in the Beckman Institute for Advanced Science and Technology and in the Neuroscience program, all at the University of Illinois at Urbana-Champaign.
Dr. Varshney is a member of Tau Beta Pi, Eta Kappa Nu, Sigma Xi, and IEEE. He received the IBM Faculty Award in 2014 and was a finalist for the Bell Labs Prize in both 2014 and 2016. He received the Jin-Au Kong Award Honorable Mention for Electrical Engineering doctoral thesis, the Ernst A. Guillemin Thesis Award for Outstanding Electrical Engineering S.M. Thesis, the 2015 Data for Good Exchange Paper Award, a best paper award at the 2012 SRII Global Conference, the Capocelli Prize at the 2006 Data Compression Conference, the Best Student Paper Award at the 2003 IEEE Radar Conference, and was a winner of the IEEE 2004 Student History Paper Contest. His work appears in the anthology, The Best Writing on Mathematics 2014 (Princeton University Press). He currently serves on the advisory board of the AI XPRIZE.
Lawrence Pileggi is the Tanoto professor of electrical and computer engineering at Carnegie Mellon University, and has previously held positions at Westinghouse Research and Development and the University of Texas at Austin. He received his Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University in 1989. He has consulted for various semiconductor and EDA companies, and was co-founder of Fabbrix Inc. (acquired by PDF Solutions) and Extreme DA (acquired by Synopsys). His research interests include various aspects of digital and analog integrated circuit design and design methodologies. He has received various awards, including Westinghouse corporation's highest engineering achievement award, a Presidential Young Inves tigator award from the National Science Foundation, Semiconductor Research Corporation (SRC) Technical Excellence Awards in 1991 and 1999, the FCRP inaugural Richard A. Newton GSRC Industrial Impact Award, the SRC Aristotle award in 2008, the 2010 IEEE Circuits and Systems Society Mac Van Valkenburg Award, the ACM/IEEE A. Richard Newton Technical Impact Award in Electronic Design Automation in 2011, the Carnegie Institute of Technology B.R. Teare Teaching Award for 2013, and the 2015 Semiconductor Industry Association (SIA) University Researcher Award. He is a co-author of "Electronic Circuit and System Simulation Methods," McGraw-Hill, 1995 and "IC Interconnect Analysis," Kluwer, 2002. He has published over 300 conference and journal papers and holds 38 U.S. patents. He is a fellow of IEEE.
Naresh Shanbhag received his Ph.D. degree in electrical engineering from the University of Minnesota in 1993. 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 has been with the University of Illinois at Urbana-Champaign, where he is currently a Jack Kilby Professor of Electrical and Computer Engineering. His research interests are in the design of integrated circuits and systems for broadband communications, including low-power/high-performance VLSI architectures for error-control coding, equalization, and digital signal and image processing. Shanbhag received the 2010 Richard Newton GSRC Industrial Impact Award and became an IEEE Fellow in 2006. He 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 Lectureship from the IEEE Circuits and Systems Society (1997), the National Science Foundation CAREER Award (1996), and the 1994 Darlington Best Paper Award from the IEEE Circuits and Systems Society.
Dr. Shanbhag is serving as an Associate Editor for the IEEE Journal on Exploratory Solid-State Computation Devices and Circuits (2014-16), 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 was the General Chair of the 2013 IEEE Workshop on Signal Processing Systems, the General co-Chair of the 2012 IEEE International Symposium on Low-Power Design (ISLPED), 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. 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. 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., a publicly traded company (NASDAQ: FNSR).
Naveen Verma received the B.A.Sc. degree in Electrical and Computer Engineering from the University of British Columbia, Vancouver, Canada in 2003, and the M.S. and Ph.D. degrees in Electrical Engineering from Massachusetts Institute of Technology in 2005 and 2009 respectively. Since July 2009 he has been with the department of Electrical Engineering at Princeton University, where he is currently an Associate Professor. His research focuses on advanced sensing systems, including low-voltage digital logic and SRAMs, low-noise analog instrumentation and data-conversion, large-area sensing systems based on flexible electronics, and low-energy algorithms for embedded inference, especially for medical applications. Prof. Verma is a Distinguished Lecturer of the IEEE Solid-State Circuits Society, and serves on the technical program committees for ISSCC, VLSI Symp., DATE, and IEEE Signal-Processing Society (DISPS). Prof. Verma is recipient or co-recipient of the 2006 DAC/ISSCC Student Design Contest Award, 2008 ISSCC Jack Kilby Paper Award, 2012 Alfred Rheinstein Junior Faculty Award, 2013 NSF CAREER Award, 2013 Intel Early Career Award, 2013 Walter C. Johnson Prize for Teaching Excellence, 2013 VLSI Symp. Best Student Paper Award, 2014 AFOSR Young Investigator Award, 2015 Princeton Engineering Council Excellence in Teaching Award, and 2015 IEEE Trans. CPMT Best Paper Award.
Patrick P. Mercier received the B.Sc. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 2006, and the S.M. and Ph.D. degrees in electrical engineering and computer science from the Massachusetts Institute of Technology (MIT), Cambridge, MA, in 2008 and 2012, respectively.
He is currently an Assistant Professor at the University of California, San Diego (UCSD) in the department of Electrical and Computer Engineering, and the Associate Director of the Center for Wearable Sensors. His research interests include the design of energy-efficient microsystems, focusing on the design of RF circuits, power converters, and sensor interfaces for miniaturized systems and biomedical applications.
Prof. Mercier was a co-recipient of the 2009 ISSCC Jack Kilby Award for Outstanding Student Paper at ISSCC 2010. He also received a Natural Sciences and Engineering Council of Canada (NSERC) Julie Payette fellowship in 2006, NSERC Postgraduate Scholarships in 2007 and 2009, an Intel Ph.D. Fellowship in 2009, a Graduate Teaching Award in Electrical and Computer Engineering at UCSD in 2013, the Hellman Fellowship Award in 2014, the Beckman Young Investigator Award in 2015, the DARPA Young Faculty Award in 2015, and the UC San Diego Academic Senate Distinguished Teaching Award in 2016. He currently serves as an Associate Editor of the IEEE Transactions on Biomedical Circuits and Systems and the IEEE Transactions on Very Large Scale Integration, and is a co-editor of Ultra-Low-Power Short-Range Radios (Springer, 2015).
Pavan Kumar Hanumolu is currently an Associate Professor in the Department of Electrical and Computer Engineering and a Research Associate Professor with the Coordinated Science Laboratory at the University of Illinois, Urbana-Champaign. He received Ph.D. degree from the School of Electrical Engineering and Computer Science at Oregon State University, Corvallis, in 2006, where he subsequently served as a faculty member till 2013. Dr. Hanumolu's research interests are in energy-efficient integrated circuit implementation of analog and digital signal processing, sensor interfaces, wireline communication systems, and power conversion.
Pulkit Grover (Ph.D. UC Berkeley'10, B.Tech.'03, M.Tech.'05 IIT Kanpur) is an assistant professor at CMU (2013-), working on information theory, circuit design, and biomedical engineering. His main contributions to science are towards developing and experimentally validating a new theory of information (fundamental limits, practical designs) for efficient communication, computing, and control, e.g. by incorporating novel (noisy and noiseless) circuit-energy models. Recently, his work has advanced the fundamental understanding of bio and neural interfaces by establishing the fundamental limits on information inferred using these interfaces, and obtaining experimental validation showing that noninvasive interfaces can infer much more information than previously believed. To apply these ideas to a variety of problems including communication, computing, sensing, and novel biomedical systems, his lab works extensively with system, circuit, and device engineers, neuroscientists, and doctors.
Pulkit received the 2010 best student paper award at the IEEE Conference in Decision and Control (CDC); a 2010 best student paper finalist at the IEEE International Symposium on Information Theory (ISIT); the 2011 Eli Jury Dissertation Award from UC Berkeley; the 2012 Leonard G. Abraham best journal paper award from the IEEE Communications Society; a 2014 best paper award at the International Symposium on Integrated Circuits (ISIC); a 2014 NSF CAREER award; and a 2015 Google Research Award. He was selected to present an ISIT 2017 tutorial on "coded computation," an emerging science of computing in presence of faults, delays, and errors.
Rob A. Rutenbar received his Ph.D. degree from the University of Michigan, Ann Arbor, in 1984. From 1984 to 2009, he was on the faculty at Carnegie Mellon University, Pittsburgh, PA, where he held the Stephen J. Jatras (E'47) Chair in Electrical and Computer Engineering. In 2010 he joined the University of Illinois at Urbana-Champaign, where he is currently the Abel Bliss Professor and Head of Computer Science. He has worked on tools for custom circuit synthesis and optimization for over 25 years. His most recent work focuses on silicon accelerator architectures for computationally challenging tasks such as speech recognition as probabilistic inference. He has published over 150 papers, and his work has been featured in venues ranging from EE Times to The Economist magazine. Dr. Rutenbar has won many awards over his career. He has won several Best Paper Awards, e.g., at the Design Automation Conference in 1987, 2002, and 2010; at Design, Automation and Test in Europe 2007; and the 2011 Donald O. Pederson Award for Best Paper in IEEE Trans. CAD. He was the 2001 winner of the Semiconductor Research Corporation Aristotle Award for excellence in education and the 2007 winner of the IEEE Circuits and Systems Industrial Pioneer Award for his work in making analog synthesis as a commercial technology. He is a Fellow of the ACM and IEEE.
Job Titles:
- Stanford University As Professor of Electrical Engineering
H.-S. Philip Wong joined Stanford University as Professor of Electrical Engineering in September 2004. From 1988 to 2004, he was with the IBM T.J. Watson Research Center. He held various positions, from Research Staff Member to Manager and Senior Manager. While he was Senior Manager, he had responsibility for shaping and executing IBM's strategy on nanoscale science and technology as well as exploratory silicon devices and semiconductor technology. His present research covers a broad range of topics including carbon nanotubes, biosensors, self-assembly, exploratory logic devices, nanoelectromechanical relays, device modeling, and novel memory devices such as phase change memory and metal oxide resistance change memory. He is a Fellow of the IEEE and has served on the Electron Devices Society AdCom as an elected member (2001-2006). He has served as the Editor-in-Chief of the IEEE Transactions on Nanotechnology (2005-2006), as subcommittee Chair of the ISSCC (2003-2004), and as General Chair of the IEDM (2007), and is currently a member of the Executive Committee of the Symposia of VLSI Technology and Circuits (2007-). He received his B.Sc. (Hons.), M.S., and Ph.D. from the University of Hong Kong, Stony Brook University, and Lehigh University, respectively. He currently holds the Chair of Excellence of the French Nanosciences Foundation.
Sharad Malik is the George Van Ness Lothrop Professor of Engineering at Princeton University and the Chair of the Department of Electrical Engineering. He received the B. Tech. degree in Electrical Engineering from the Indian Institute of Technology, New Delhi in 1985 and the M.S. and Ph.D. degrees in Computer Science from the University of California, Berkeley in 1987 and 1990 respectively.
His research focuses on design methodology and design automation for computing systems. His research in functional timing analysis and propositional satisfiability has been widely used in industrial electronic design automation tools.
He has received the DAC Award for the most cited paper in the 50-year history of the conference (2013), the CAV Award for fundamental contributions to the development of high-performance Boolean satisfiability solvers (2009), the ICCAD Ten Year Retrospective Most Influential Paper Award (2011), the Princeton University President's Award for Distinguished Teaching (2009), as well as several other best paper and teaching awards. He is a fellow of the IEEE and ACM.
Subhasish Mitra directs the Robust Systems Group in the Department of Electrical Engineering and the Department of Computer Science of Stanford University, where he is the Chambers Faculty Scholar of Engineering. Before joining Stanford, he was a Principal Engineer at Intel Corporation. Mitra's research interests include robust system design, VLSI design, CAD, validation and test, and emerging nanotechnologies. His X-Compact technique for test compression has been key to cost-effective manufacturing and high-quality testing of a vast majority of electronic systems, including numerous Intel products. X-Compact and its derivatives have been implemented in widely-used commercial Electronic Design Automation tools. His work on carbon nanotube imperfection-immune digital VLSI, jointly with his students and collaborators, resulted in the demonstration of the first carbon nanotube computer, and it was featured on the cover of NATURE. The National Science Foundation (NSF) presented this work as a Research Highlight to the United States Congress, and it also was highlighted as "an important, scientific breakthrough" by the BBC, Economist, EE Times, IEEE Spectrum, MIT Technology Review, National Public Radio, New York Times, Scientific American, Time, Wall Street Journal, Washington Post, and numerous other organizations worldwide. His major honors include the Presidential Early Career Award for Scientists and Engineers from the White House, the highest U.S. honor for early-career outstanding scientists and engineers; the ACM SIGDA/IEEE CEDA A. Richard Newton Technical Impact Award in Electronic Design Automation, "a test of time honor" for an outstanding technical contribution; Semiconductor Research Corporation's Technical Excellence Award; and the Intel Achievement Award, Intel's highest corporate honor. He and his students published several award-winning papers at major venues: IEEE/ACM Design Automation Conference, IEEE International Solid-State Circuits Conference, IEEE International Test Conference, IEEE Transactions on CAD, IEEE VLSI Test Symposium, Intel Design and Test Technology Conference, and the Symposium on VLSI Technology. Mitra served on DARPA's Information Science and Technology (ISAT) Board as an invited member, as well as on numerous conference committees and journal editorial boards. He is a Fellow of the ACM and the IEEE.
Job Titles:
- Professor of Electrical and Computer Engineering at the University of California
Upamanyu Madhow is Professor of Electrical and Computer Engineering at the University of California, Santa Barbara. His research interests broadly span communications, signal processing and networking, with current emphasis on millimeter wave communication, and on distributed and bio-inspired approaches to networking and inference. He received his bachelor's degree in electrical engineering from the Indian Institute of Technology, Kanpur, in 1985, and his Ph. D. in electrical engineering from the University of Illinois, Urbana-Champaign in 1990. He has worked as a research scientist at Bell Communications Research, Morristown, NJ, and as a faculty at the University of Illinois, Urbana-Champaign. Dr. Madhow is an IEEE Fellow, a recipient of the 1996 NSF CAREER award, and co-recipient of the 2012 IEEE Marconi prize paper award in wireless communications. He has served as Associate Editor for the IEEE Transactions on Communications, the IEEE Transactions on Information Theory, and the IEEE Transactions on Information Forensics and Security. He is the author of the textbooks Fundamentals of Digital Communication, published by Cambridge University Press in 2008, and Introduction to Communication Systems, published by Cambridge University Press in 2014.