Speakers

Radha Ratnaparkhi is currently the Vice President of Research Technical Community. Her prior responsibilities included Research Operations and the AI Horizons Network She is responsible for leading innovation and transforming operational efficiencies and the talent base for IBM Research and leading an initiative to increase the speed of innovation and delivery at IBM. Additionally, Radha leads the University collaborations for AI in Research. Prior to this role Radha was the Vice President for Software Defined Environments where she led a world wide research team in the area of OpenStack based Hybrid Clouds. Her earlier roles include, being Vice President of IT and Wireless Convergence at IBM Research, Director of Commercial Systems, and leadership of a high-end text analytics solution called WebFountain, also at IBM Research. Radha’s experience at IBM also includes her development leadership effort for IBM’s flagship database product DB2 on the mainframe. Prior to IBM, Radha was leading the Java products development team at Informix Software. She started her career in Mumbai, India with Tata Consultancy Services (TCS) – India’s premier services consulting firm, after completing her Masters of Technology degree in Computer Science from the Indian Institute of Technology (IIT) in

Delhi. Radha is currently the chairperson of NSF’s Industry-University Cooperative Research Center for Advance Knowledge Enablement at Florida International and Atlantic Universities and Dubna International University.

Mengjia Yan obtained her Doctoral degree from the University of Illinois at Urbana-Champaign (UIUC), where she worked with Professor Josep Torrellas. She will be joining in the EECS department at MIT as a tenure-track assistant professor.

Her research interest lies in the areas of computer architecture and hardware security, with a focus on defenses against transient execution attacks and cache-based side channel attacks. Her work has appeared in some of the top venues in computer architecture and security, and has sparked a large research collaboration initiative between UIUC and Intel. Mengjia received the UIUC College of Engineering Mavis Future Faculty Fellow, the Computer Science W.J. Poppelbaum Memorial Award, a MICRO TopPicks in Computer Architecture Honorable Mention. She is looking for highly motivated PhD students.

Jun Yang is a William Kepler Whiteford Professor of Electrical and Computer Engineering Department at the University of Pittsburgh. Jun’s research is in the broad area of computer architecture and her recent focuses include GPU designs, secure architectures, emerging memory technologies, interconnection networks, 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 is also included in HPCA hall of fame.

Y. Sophia Shao is an Assistant Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. Previously, she was a Senior Research Scientist at NVIDIA. She received her Ph.D. degree in 2016 and S.M. degree in 2014 from Harvard University and a B.S. degree in Electrical Engineering from Zhejiang University, China. Her research interests are in the area of computer architecture, with a special focus on domain-specific architecture, deep-learning accelerators, and high-productivity hardware design methodology. Her work has been selected as one of the TopPicks in Computer Architecture, and her Ph.D. dissertation was nominated by Harvard for ACM Doctoral Dissertation Award. She is a Siebel Scholar, an invited participant at the Rising Stars in EECS Workshop, and a recipient of the IBM Ph.D. Fellowship.

Reetuparna Das is an Assistant Professor in the EECS department at the University of Michigan. Prior to this she was a research scientist at University of Michigan and also the researcher-in-residence for the Center for Future Architectures Research (CFAR). She has a Ph.D. in Computer Science and Engineering from the Pennsylvania State University, University Park. Her research interests include computer architecture and its interaction with software systems and device/VLSI technologies.

Vijay Janapa Reddi is an Associate Professor in John A. Paulson School of Engineering and Applied Sciences at Harvard University. His research interests are in computer architecture and systems for autonomous machines and robotics. Dr. Janapa Reddi is a recipient of multiple honors and awards, including the National Academy of Engineering (NAE) Gilbreth Lecturer Honor (2016), MICRO and HPCA Hall of Fame (2018 and 2019, respectively), IEEE TCCA Young Computer Architect Award (2016), Intel Early Career Award (2013), Google Faculty Research Awards (2012, 2013, 2015, 2017), Best Paper at the 2005 International Symposium on Microarchitecture, Best Paper at the 2009 International Symposium on High Performance Computer Architecture, and IEEE’s Top Picks in Computer Architecture awards (2006, 2010, 2011, 2016, 2017). Beyond his technical research contributions, Dr. Janapa Reddi is passionate about STEM education. He received a Ph.D. in computer science from Harvard University.

Tamara Silbergleit Lehman is an Assistant Professor at the University of Colorado in the Electrical, Computer and Energy Engineering Department. in Boulder CO. She received her PhD in Electrical and Computer Engineering from Duke University. She is interested in the intersection of computer architecture and security. Before completing her PhD, she completed an MEng degree at Duke University in the Electrical and Computer Engineering Department and a B.S. from the University of Florida in the Industrial and Systems Engineering department. She is looking for motivated people to join her lab in Boulder, CO.

Akshitha Sriraman is a Ph.D. candidate in the Computer Science Department at the University of Michigan. She is advised by Professor Thomas F. Wenisch on her computer architecture and systems dissertation research, specifically on the topic of enabling hyperscale web services. Her work bridges computer architecture and software systems and demonstrates the importance of that bridge in improving the performance and cost efficiency of modern hyperscale data center systems. Sriraman has influenced the design of server architectures both via hardware analysis of production data center systems and her subsequent software design that uses data center hardware more efficiently; she received recognition for this work by being nominated as a 2019 Facebook Fellowship Finalist. Additionally, Sriraman has developed a novel software system that improves data center performance by minimizing tail latency in large-scale systems; she was awarded the Rakham Merit Ph.D. Fellowship to help fund this work. She received her B.S. in Electrical Engineering from VTU, India in 2012 and her M.S. in Embedded Systems From the University of Pennsylvania in 2015.