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 3rd year PhD student in the Department of Computer Science and Engineering at SUNY Buffalo. I work with Dr. Ramalingam Sridhar. My research interests include hardware security, memory systems and in-memory computing. I have completed my Masters in Electrical Engineering from SUNY Buffalo and Bachelors in Electronics and Communication Engineering from Karunya Institute of Technology and Sciences.

Karin Strauss is a senior principal research manager at Microsoft (https://www.microsoft.com/en-us/research) and an affiliate full professor at the Department of Computer Science and Engineering (http://www.cs.washington.edu/) at University of Washington (http://www.washington.edu/). Her research lies at the intersection of computer architecture, systems, and biology. Her work includes hardware accelerators for machine learning, emerging memory technologies, and the use of biotechnology to the benefit of the IT industry. Lately, her focus has been on creating an end-to-end system that stores digital data in synthetic DNA, for which she was named one of the 2016 “100 Most Creative People in Business” by Fast Company. Along with Luis Ceze, she has recently received the ACM SIGARCH Maurice Wilkes Award for their work on DNA data storage. The DNA data storage project has also been chosen as “Best of What’s New” by Popular Science in 2016, one of the "Top 10 Emerging Technologies" by the World Economic Forum in 2019, and highlighted by influential publications such as the New York Times, Wall Street Journal, MIT Technology Review, and Scientific American. Karin received her PhD in Computer Science from University of Illinois at Urbana-Champaign in 2007.

I am passionate about research and teaching. I want to gain expertise in the field of multi-core architecture and improve coherency and synchronization methods which are crucial for performance in the cutting edge computing applications. I recently gradauted and my research proposed multi-word atomics and its implementation in hardware to assist lock-free programs that are otherwise extremely difficult to program. I am currently working as a CPU architect at Google's CPU team. Additionally, I strongly believe that diversity is instrumental in finding innovative solutions and am committed to making computing a more inclusive world.