Salman Avestimehr | |
---|---|
Born | Amir Salman Avestimehr |
Nationality | Iranian |
Alma mater | |
Known for |
|
Awards | |
Scientific career | |
Fields | |
Institutions | |
Thesis | Wireless network information flow: a deterministic approach (2008) |
Doctoral advisor | David Tse |
Website |
viterbi |
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 [6] (Trusted AI) and the director of the Information Theory and Machine Learning (vITAL) research lab. [7] [8] He is also the CEO and Co-Founder of FedML. [9] 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. [10] [11] He was a general co-chair of the 2020 International Symposium on Information Theory (ISIT), and is a Fellow of IEEE. [12] [13] 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.”
Avestimehr completed his bachelor's degree in electrical engineering from Sharif University of Technology in 2003. He received his M.S. degree in 2005 in electrical engineering and computer science from University of California, Berkeley in 2005. Continuing his studies at UC Berkeley, he finished his Ph.D. in computer science in 2008; his doctoral adviser was David Tse. [14] [15] [16]
Avestimehr was a postdoctoral scholar at the Center for the Mathematics of Information (CMI) at Caltech in 2008. He served as an assistant professor at the school of electrical and computer engineering of Cornell University from 2009 to 2013. Avestimehr was promoted to a Dean's professorship in electrical and computer engineering at the University of Southern California, where he has taught since 2013. He is also the inaugural director of the USC-Amazon Center for Secure and Trusted Machine Learning. He has been a general co-chair of the 2020 International Symposium on Information Theory (ISIT). He has also been an associate editor for IEEE Transactions on Information Theory. Current research areas of Prof. Avestimehr include information theory, distributed computing, machine learning, and secure and private learning/computing. [17] [11]
2018. [27]
Salman Avestimehr | |
---|---|
Born | Amir Salman Avestimehr |
Nationality | Iranian |
Alma mater | |
Known for |
|
Awards | |
Scientific career | |
Fields | |
Institutions | |
Thesis | Wireless network information flow: a deterministic approach (2008) |
Doctoral advisor | David Tse |
Website |
viterbi |
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 [6] (Trusted AI) and the director of the Information Theory and Machine Learning (vITAL) research lab. [7] [8] He is also the CEO and Co-Founder of FedML. [9] 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. [10] [11] He was a general co-chair of the 2020 International Symposium on Information Theory (ISIT), and is a Fellow of IEEE. [12] [13] 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.”
Avestimehr completed his bachelor's degree in electrical engineering from Sharif University of Technology in 2003. He received his M.S. degree in 2005 in electrical engineering and computer science from University of California, Berkeley in 2005. Continuing his studies at UC Berkeley, he finished his Ph.D. in computer science in 2008; his doctoral adviser was David Tse. [14] [15] [16]
Avestimehr was a postdoctoral scholar at the Center for the Mathematics of Information (CMI) at Caltech in 2008. He served as an assistant professor at the school of electrical and computer engineering of Cornell University from 2009 to 2013. Avestimehr was promoted to a Dean's professorship in electrical and computer engineering at the University of Southern California, where he has taught since 2013. He is also the inaugural director of the USC-Amazon Center for Secure and Trusted Machine Learning. He has been a general co-chair of the 2020 International Symposium on Information Theory (ISIT). He has also been an associate editor for IEEE Transactions on Information Theory. Current research areas of Prof. Avestimehr include information theory, distributed computing, machine learning, and secure and private learning/computing. [17] [11]
2018. [27]