Program

Tulika Mitra is Provost's Chair Professor of Computer Science at School of Computing, National University of Singapore. She received her PhD from State University of New York at Stony Brook. Her research interests span various aspects of design automation in embedded real-time systems and IoT with particular emphasis on low-power design, accelerators, heterogeneous computing, and worst-case execution time analysis, optimizations. She has authored over hundred and fifty scientific publications and holds multiple US patents. Tulika is the Editor-in-Chief of ACM Transactions on Embedded Computing Systems and a member of the ACM Publications Board. She has served as Associate Editor of several premier journals and program committee member of almost all major conferences in her domain including program chair of EMOSFT 2014, CASES 2018, ICCAD 2021 and general chair of Embedded Systems Week 2020.

Onur Mutlu is a Professor of Computer Science at ETH Zurich. He is also a faculty member at Carnegie Mellon University, where he previously held the Strecker Early Career Professorship. His current broader research interests are in computer architecture, systems, hardware security, and bioinformatics. A variety of techniques he, along with his group and collaborators, has invented over the years have influenced industry and have been employed in commercial microprocessors and memory/storage systems. He obtained his PhD and MS in ECE from the University of Texas at Austin and BS degrees in Computer Engineering and Psychology from the University of Michigan, Ann Arbor. He started the Computer Architecture Group at Microsoft Research (2006-2009), and held various product and research positions at Intel Corporation, Advanced Micro Devices, VMware, and Google. He received the IEEE Computer Society Edward J. McCluskey Technical Achievement Award, ACM SIGARCH Maurice Wilkes Award, the inaugural IEEE Computer Society Young Computer Architect Award, the inaugural Intel Early Career Faculty Award, US National Science Foundation CAREER Award, Carnegie Mellon University Ladd Research Award, faculty partnership awards from various companies, and a healthy number of best paper or "Top Pick" paper recognitions at various computer systems, architecture, and hardware security venues. He is an ACM Fellow "for contributions to computer architecture research, especially in memory systems", IEEE Fellow for "contributions to computer architecture research and practice", and an elected member of the Academy of Europe (Academia Europaea). His computer architecture and digital logic design course lectures and materials are freely available on YouTube, and his research group makes a wide variety of software and hardware artifacts freely available online. For more information, please see his webpage at https://people.inf.ethz.ch/omutlu/.

Prof. Jürgen Teich is with Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Germany, where he is directing the Chair for Hardware/Software Co-Design since 2003. He received the M.S. degree (Dipl.-Ing.; with honors) from the University of Kaiserslautern, Germany in 1989 and the Ph.D. degree (Dr.-Ing.; summa cum laude) from the University of Saarland, Saarbrücken, Germany, in 1993. Prof. Teich is involved in many interdisciplinary projects on basic research as well as industrial projects. From 2003-2009, he was an elected board member (Fachkollegiat) of the Deutsche Forschungsgemeinschaft (DFG) for the area of Computer Architecture and Embedded Systems. He has been the initiator and coordinator of the DFG priority programme 1148 on "Reconfigurable Computing". Since 2010, he has been the principal coordinator of the Transregional Research Center 89 "Invasive Computing" funded by the German Research Foundation (DFG). He is a member of the Academia Europaea, of the National Academy of Science and Engineering (acatech), and a Fellow of the IEEE.

Hai (Helen) Li is a Professor and Associate Chair for Operations of the Department of Electrical and Computer Engineering at Duke University. Her research interests include neuromorphic computing systems, machine learning and deep neural networks, memory design and architecture, and cross-layer optimization for low power and high performance. She served as an Associate Editor of several IEEE/ACM journals. She was the General Chair or Technical Program Chair of multiple IEEE/ACM conferences and the Technical Program Committee members of over 30 international conference series. Dr. Li is a recipient of the NSF Career Award, DARPA Young Faculty Award, TUM-IAS Hans Fischer Fellowship from Germany, and ELATE Fellowship. Dr. Li is an IEEE fellow and a distinguished member of the ACM.

Kailash Gopalakrishnan is an IBM Fellow and a senior manager of the accelerator architectures and machine learning group at the IBM T. J. Watson Research Center, where he has worked in the areas of computer architecture, deep learning, semiconductor devices, circuit design and emerging memory devices. Over the past decade, his primary research has centered around the invention and development of specialized platforms that have dramatically improved industry-wide AI systems’ performance and revolutionized the incorporation of AI capabilities within IBM Systems,. He has a Ph.D. in Electrical Engineering from Stanford University and his current research interests include accelerator microarchitectures, machine learning and approximate computing.

Prof. Yuan Xie is leading the Scalable and Energy-efficient Architecture Lab (SEAL) at UCSB. He joined UCSB in Fall 2014 after 11 years with Penn State University (2003-2014). He received B.S. degree from Electronic Engineering Department at Tsinghua University, and M.S. and Ph.D. degrees from Electrical Engineering Department, Princeton University. Prior to joining Penn State in 2003, he worked as Advisory Engineer for IBM Microelectronics Division's Worldwide Design Center. He was also on-leave in 2012-13 to work with AMD Research Lab. He was a recipient of the NSF CAREER award in 2006. He is a Fellow of IEEE, ACM and AAAS.

Kenneth L. Shepard received the BSE degree from Princeton University, Princeton, NJ, in 1987 and the MS and PhD degrees in electrical engineering from Stanford University, Stanford, CA, in 1988 and 1992, respectively. From 1992 to 1997, he was a Research Staff Member and Manager with the VLSI Design Department, IBM T. J. Watson Research Center, Yorktown Heights, NY, where he was responsible for the design methodology for IBM’s G4 S/390 microprocessors. Since 1997, he has been with Columbia University, New York, where he is now Professor of Electrical Engineering and Biomedical Engineering. He also was Chief Technology Officer of CadMOS Design Technology, San Jose, CA, until its acquisition by Cadence Design Systems in 2001. His current research interests include power electronics, carbon-based devices and circuits, and CMOS bioelectronics.

Talia Gershon leads the hybrid cloud infrastructure research team at IBM Research. This is a team of world-class research scientists and engineers with the mission of inventing the future of cloud computing. We are driving an innovation roadmap that spans systems innovation, software innovation, linux, AI, and DevOps/CICD.

Yu Wang received his B.S. degree in 2002 and Ph.D. degree (with honor) in 2007 from Tsinghua University, Beijing, China. He is currently a Tenured Professor and Chair with the Department of Electronic Engineering, Tsinghua University. His research interests include application specific hardware computing, parallel circuit analysis, and power/reliability aware system design methodology. Dr. Wang has authored and coauthored over 250 papers in refereed journals and conferences. He has received Best Paper Award in ASPDAC 2019, FPGA 2017, NVMSA17, ISVLSI 2012, and Best Poster Award in HEART 2012 with 9 Best Paper Nominations. He is a recipient of DAC Under-40 Innovator Award in 2018. He served as TPC chair for ICFPT 2019, ISVLSI 2018, ICFPT 2011 and Finance Chair of ISLPED 2012-2016, and served as the program committee member for leading conferences in EDA/FPGA area. Currently he serves as Associate Editor for IEEE Trans on CAS for Video Technology, IEEE Transactions on CAD, and ACM TECS. He is an IEEE/ACM senior member. He is the co-founder of Deephi Tech (acquired by Xilinx in 2018), which is a leading deep learning computing platform provider.

Sachin Sapatnekar is currently a Professor in the Department of Electrical and Computer Engineering at the University of Minnesota, where he holds the Robert and Marjorie Henle chair and the Distinguished McKnight University Professorship. His current research interests lie in developing efficient techniques for computer-aided design of integrated circuits, and are primarily centered around physical design, timing and simulation issues, and optimization algorithms. He has served on the editorial boards of several IEEE journals, including as Editor-in-Chief of the IEEE Transactions on CAD. He was a Technical Program Co-chair in 2006 and 2007 for the Design Automation Conference (DAC), and the General Chair in 2010. He has also been the Technical Program Chair and General Chair for the International Symposium on Physical Design (ISPD) and the Tau workshop, and Program Chair for the International Conference on VLSI Design in India. He is a recipient of the NSF Career Award, the SRC Technical Excellence Award, the SIA University Researcher Award, Best Paper Awards at the DAC'97, ICCD'98, DAC'01 DAC'03, ISPD'09, ISQED'10, and ASYNC'16 conferences, a Best Poster Award at IRPS'12, and the ICCAD Ten-Year Retrospective Most Influential Paper Award in 2013 and 2016. He has been a Fulbright Senior Researcher at Universitat Politècnica de Catalunya in Barcelona in 2013, and a DJ Gandhi Visiting Professor at the Indian Institute of Technology, Bombay in 2014. He is a Fellow of the IEEE (2003) and the ACM (2016).

Sandip Kundu is professor of the electrical and computer engineering department at University of Massachusetts Amherst. Until recently, he served as a Program Director at the National Science Foundation in the CNS division within the CISE directorate. He obtained his PhD in 1988 and started his career at IBM Research as a Research Staff Member; then worked at Intel Corporation as a Principal Engineer before joining UMass Amherst as a professor in 2005. He has published ~300 research papers in VLSI design and test, holds several key patents including ultra-drowsy sleep mode in processors, and has given more than a dozen tutorials at various conferences. He is a Fellow of the IEEE, Fellow of the Japan Society for Promotion of Science (JSPS), Senior International Scientist of the Chinese Academy of Sciences and was a Distinguished Visitor of the IEEE Computer Society. He has served as an Associate Editor of the IEEE Transactions on Computers, IEEE Transactions on VLSI Systems, IEEE Transactions on Dependable and Secure Computing and ACM Transactions on Design Automation of Electronic Systems. He has been Technical Program Chair/General Chair of multiple conferences including ICCD, ATS, ISVLSI, DFTS and VLSI Design Conference.

Weisong Shi is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science at Wayne State University, there he directs the Mobile and Internet SysTems Laboratory (MIST) and Connected and Autonomous dRiving Laboratory (CAR), and Wayne Mobility Initiative, investigating performance, reliability, power- and energy-efficiency, trust and privacy issues of networked computer systems and applications. Dr. Shi is one of the world leaders in the edge computing research community, his paper entitled “Edge Computing: Vision and Challenges” has been cited more than 2000 times. He is the lead author of the first book on Edge Computing. Dr. Shi was on leave with the National Science Foundation as a Program Director in the Division of Computer and Network Systems, Directorate of Computer and Information Science and Engineering during 2013 – 2015. Dr. Shi has been actively involved in the activities of IEEE Computer Society. He had served as the Chair of the Technical Committee on the Internet (TCI) during 2012-2016. Dr. Shi is the inaugural Editor-in-Chief of Elsevier Smart Health Journal, Associate EIC of IEEE Internet Computing Magazine, and associate editors of several journals, including IEEE Transactions on Services Computing, ACM Transactions on Internet of Things, to name a few. Dr. Shi is the founding steering committee chair of ACM/IEEE Symposium on Edge Computing (SEC) and IEEE/ACM Connected Health: Applications, Systems and Engineering (CHASE). He is an IEEE Fellow and an ACM Distinguished Scientist.

Chris Fletcher is an Assistant Professor in Computer Science at the University of Illinois at Urbana-Champaign. He has broad interests ranging from Computer Architecture to Security to High-Performance Computing (ranging from theory to practice). These and related works have been awarded with election to the DARPA ISAT study group, the Intel CRC Outstanding Researcher Award, the NSF CAREER award, a Google Faculty Award, the George M. Sprowls Award for Outstanding Ph.D. Thesis in Computer Science at MIT, multiple best paper awards and best paper honorable mentions, and were listed as one of ten "World Changing Ideas" designations by Scientific American.

Dr. Zheng Zhang joined UCSB as an Assistant Professor of ECE in 2017. He received his PhD in EECS from MIT in 2015, where he received the Best PhD Dissertation Awards from ACM SIGDA and MIT Microsystems Technology Labs, respectively. His research is focused on computational data science (specifically uncertainty quantification and tensor computation) with applications to design automation, software and hardware co-design of data analysis and machine learning. He received three best paper awards from various IEEE Transactions and the NSF CAREER Award in 2019.