Vijay Janapa Reddi is an Associate Professor at Harvard University.
Prof. Janapa Reddi is an Associate Professor in John A. Paulson School of Engineering and Applied Sciences at Harvard University. Prior to joining Harvard, he was an Associate Professor at The University of Texas at Austin in the Department of Electrical and Computer Engineering.
He is a founding member of MLCommons, a non-profit organization focused on accelerating AI innovation, and serves on the MLCommons Board of Directors. He is a Co-Chair of MLPerf Inference that is responsible for fair and useful benchmarks for measuring training and inference performance of ML hardware, software, and services.
He works closely with the industry. He spent his academic sabbatical at Google from 2017 to early 2019 and over the years he has consulted for other companies such as Facebook, Intel and AMD.
His primary research interests include computer architecture and system-software design to enable mobile computing and autonomus machines. His secondary research interests include building high-performance, energy-efficient and resilient computer systems.
Dr. Janapa Reddi is a recipient of multiple honors and awards, including the National Academy of Engineering (NAE) Gilbreth Lecturer Honor (2016), IEEE TCCA Young Computer Architect Award (2016), Intel Early Career Award (2013), Google Faculty Research Awards (2012, 2013, 2015, 2017, 2020), Best Paper at the 2005 International Symposium on Microarchitecture (MICRO), Best Paper at the 2009 International Symposium on High Performance Computer Architecture (HPCA), MICRO and HPCA Hall of Fame (2018 and 2019, respectively), 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 is responsible for the Austin Independent School District’s “hands-on” computer science (HaCS) program, which teaches sixth- and 7th-grade students programming and the general principles that govern a computing system using open-source electronic prototyping platforms.
He received a B.S. in computer engineering from Santa Clara University, an M.S. in electrical and computer engineering from the University of Colorado at Boulder, and a Ph.D. in computer science from Harvard University.