Yaqi Zhang is a PhD candidate in the Electrical Engineering Department at Stanford University. Her research interest is in hardware accelerator design and compiler optimizations for spatial and parallel architectures. She received a BS in Electrical Engineering from Duke University. She is a student member of IEEE. Contact her at yaqiz@stanford.edu.

Broadly speaking, I'm interested in computer architecture, particularly parallel systems. Prior work has included workload characterization of parallel applications and memory systems in traditional multiprocessor systems and GPUs and correctness in IoT systems.

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.

I am a third-year PhD student in Electrical and Computer Engineering interested in new and niche logic families for high-performance computing purposes, including temporal-based encoding (Race Logic), and exploring superconducting architectural and circuit design trade-offs between area, energy, and tolerance to variability. I have co-authored several papers at ISCA and ASPLOS on novel logic paradigms applied to superconducting technologies. I am currently pursuing several projects, including new neuromorphic gates in superconducting electronics, and new fan-out techniques for the same technology. I have a diverse background ranging from instrumentation and testing in High-Energy Physics to embedded development in the health and wellness industry, and I received my undergraduate degree in Electrical Engineering from University of California, Santa Cruz. If you would like to hear about my research, please reach out!