Salman A. Avestimehr

Salman Avestimehr
Born
Amir Salman Avestimehr
Alma mater
Known for
  • “An Approximation Approach to Network Information Theory,”
Awards
Scientific career
Fields
Institutions
ThesisWireless network information flow: a deterministic approach (2008)
Doctoral advisorDavid Tse
Websiteviterbi.usc.edu/directory/faculty/Avestimehr/Salman

Salman A. Avestimehr is a Dean's professor at the Electrical & Computer Engineering and Computer Science Departments of University of Southern California, where he is the inaugural director of the USC-Amazon Center for Secure and Trusted Machine Learning (Trusted AI) and the director of the Information Theory and Machine Learning (vITAL) research lab. He is also the CEO and Co-Founder of FedML. Avestimehr's contributions in research and publications are in the areas of information theory, machine learning, large-scale distributed computing, and secure/private computing and learning. In particular, he is best known for deterministic approximation approaches to network information theory and coded computing. He was a general co-chair of the 2020 International Symposium on Information Theory (ISIT), and is a Fellow of IEEE. He is also co-authors of four books titled “An Approximation Approach to Network Information Theory”, “Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management”, “Coded Computing”, and “Problem Solving Strategies for Elementary-School Math.”