Vijay Reddi
Gordon McKay Professor of Electrical Engineering
Profile
Outside professional activities
Profile
Dr. Vijay Janapa Reddi is the Gordon McKay Professor of Electrical Engineering at Harvard University, where his research focuses on the intersection of computer architecture, machine learning systems, and autonomous agents. His multidisciplinary expertise drives advancements in efficient and intelligent computing systems across scales, from mobile and edge platforms to Internet of Things (IoT) devices. Prior to joining Harvard, Dr. Janapa Reddi was an Associate Professor in the Department of Electrical and Computer Engineering at the University of Texas at Austin. In addition to his academic role, Dr. Janapa Reddi is deeply involved in shaping the future of machine learning and edge AI technologies. He serves as Vice President and co-founder of MLCommons, a nonprofit organization dedicated to accelerating machine learning innovation. In this capacity, he oversees the MLCommons Research organization, sits on its board of directors, and co-led the development of the MLPerf benchmarks, which evaluate a wide range of ML systems from megawatt to microwatt scales. Dr. Janapa Reddi also serves on the boards of directors for the EDGE AI Foundation, fostering academic–industry partnerships at the edge of AI. Throughout his career, Dr. Janapa Reddi has earned numerous awards and accolades, including the Gilbreth Lecturer Honor from the National Academy of Engineering (NAE) in 2016, the IEEE TCCA Young Computer Architect Award (2016), the Intel Early Career Award (2013), and Google Faculty Research Awards in 2012, 2013, 2015, 2017, and 2020. He has received Best Paper awards at the 2020 Design Automation Conference (DAC), the 2005 International Symposium on Microarchitecture (MICRO), and the 2009 International Symposium on High-Performance Computer Architecture (HPCA). He is also recognized with IEEE Micro Top Picks in Computer Architecture (2006, 2010, 2011, 2016, 2017, 2022, 2023), and is a member of both the MICRO Hall of Fame (inducted in 2018) and the HPCA Hall of Fame (inducted in 2019). Dr. Janapa Reddi is passionate about expanding access to applied machine learning and promoting diversity in STEM. He developed the widely adopted open-source textbook Machine Learning Systems and created the Tiny Machine Learning (TinyML) edX series, a global massive open online course that has trained over 100,000 learners. He holds a Ph.D. in computer science from Harvard University, an M.S. in electrical and computer engineering from the University of Colorado at Boulder, and a B.S. in computer engineering from Santa Clara University.
Contact
Email: vj@eecs.harvard.edu
Phone: (617) 496-1449
Assitant: Sarah Gayer -sgayer@seas.harvard.edu
Additional Website: https://seas.harvard.edu/person/vijay-janapa-reddi
Outside professional activities
Outside Professional Activities
In the spirit of transparency and integrity, Salata Institute Faculty Associates disclose publicly their key professional activities outside of Harvard University. The activities disclosed below are for the most recent reporting period, as defined by University policy. Some of the activities may be paid, some may be unpaid, and others may be in exchange for expense reimbursement only.
Outside Professional Activities For Vijay Reddi
Organizations:
Relationships:
Edge Impulse
Professional Services or Employment
MLCommons
Fiduciary Board Membership
The Salata institute
The Salata Institute supports interdisciplinary research that leads to real-world action, including high-risk/high-reward projects by researchers already working in the climate area and new endeavors that make it easier for Harvard scholars, who have not worked on climate problems, to do so.