Shaizeen is a Researcher at AMD Research. She received her M.S. and Ph.D. from the University of Michigan, Ann Arbor in 2013 and 2017, respectively. Her research interests include design of novel near-data computing solutions and techniques to reduce data movement in heterogeneous systems. She has received several awards and honors for her research including winning the best demo award at the 2016 Center for Future Architectures Research (CFAR) Annual Research Review which showcased nearly 50 projects in computer architecture related topics from several leading institutions. Her work during her undergraduate days won 1st place in Parallel Computing at Imagine Cup 2009, a worldwide student technical competition organized by Microsoft.

Jun Yang is a William Kepler Whiteford Professor of Electrical and Computer Engineering Department at the University of Pittsburgh. Prior to joining the University of Pittsburgh, she was an assistant professor of the Computer Science and Engineering Department at University of California, Riverside. Jun received her bachelor from Nanjing University, China, and her PhD from the University of Arizona in 1995 and 2002 respectively. Jun’s research is in the broad area of computer architecture and her recent focuses include GPU designs, architecture level security, emerging memory technologies, 3D integration, and power and thermal management techniques. Jun is a recipient of NSF CAREER award in 2008, IEEE MICRO Top Picks award in 2010, and best paper awards of ISLPED 2013 and ICCD 2007. She was on the editorial board of IEEE Computer Architecture Letters, and she has served in the Organizing and Technical Program Committee in ISCA, MICRO, and HPCA, for many years. She has been included in the HPCA hall of fame since 2017.

My research interests lie in field-programmable technology and electronic design automation, with increasing focus on the hardware security vulnerabilities of today’s heterogeneous and intelligent computing systems.

Jing (Jane) Li is a Dugald C. Jackson Assistant Professor in the department of Electrical and Computer Engineering and Computer Science (affiliated) the University of Wisconsin – Madison. She is part of Computer Architecture @ UW-Madison and Machine Learning @ UW-Madison. She is one of the PIs in SRC JUMP center – Center for Research on Intelligent Storage and Processing-In-Memory (CRISP). She spent her early career at IBM T. J. Watson Research Center as a Research Staff Member after obtaining her PhD degree from Purdue University in 2009. She is broadly interested in the big problems in computer system across the full stack. She is also a passionate computer experimentalist and enjoy building real computer systems (both hardware and software). In particular, she has made contributions to the following “memory-centric” areas: 1) domain-specific accelerator and its interaction with emerging memories (HMC/HBM/NVM), 2) programmable in-memory computing architecture enabled by emerging nonvolatile memories (PCM/RRAM/STT RAM), 3) system support (e.g., virtualization) for accelerators (e.g., FPGA), and 4) FPGA-based full system simulation infrastructure (MEG) for memory system research. A summary of her research can be found at https://wicil.ece.wisc.edu/research/. A research vision on the importance of interaction between machine learning and computer system can be found at our white paper (co-authored with a number of great researchers in both fields).

One key differentiator of her research is that besides modeling and simulations, she put strong emphasis on real hardware demonstration through architecting, designing and testing new prototypes, both at chip level and system level. The systems that she built with her students have achieved several key milestones, including a scalable graph analytics system ranked No. 1 on the GreenGraph500 list, a deep learning system that set the world-record in performance and energy efficiency for accelerating dense convolutional neural network using FPGA. She and her research team has also taped out several new computer chips with complete system support (programming model, runtime, virtualization, API, etc.) that are built with post-CMOS nonvolatile memory technology (e.g., RRAM) integrated with silicon CMOS through monolithic 3D integration, including Liquid Silicon which won DARPA Young Faculty Award (one out of 2 in computer area and one out of 26 across all areas nationwide, the first awardee in computer engineering and computer science at UW-Madison), and Two-Dimensional Associative Processor which won NSF CAREER Award, in addition to the first fabricated in-memory processing chip for search and a variable-bit storage chip that I built at IBM which won IBM's highest technical achievement award, the IBM's CEO Milestone.