Salman A. Avestimehr

Salman A. Avestimehr is an Iranian-American professor at the Electrical and Computer Engineering Department of University of Southern California, where he leads the Information Theory and Machine Learning (vITAL) research lab.[6] Avestimehr's contributions in research and publications are in the areas of information theory, coding theory, and large-scale distributed computing and machine learning. In particular, he is best known for deterministic approximation approaches to network information theory and coded computing.[7][8] He is currently a general Co-Chair of the 2020 International Symposium on Information Theory (ISIT) and a Fellow of IEEE.[9][10] He is also a co-author of the book titled “An Approximation Approach to Network Information Theory.”

Salman Avestimehr
Born
Amir Salman Avestimehr
NationalityAmerican
Alma mater
Known for
  • “An Approximation Approach to Network Information Theory,” [1]
Awards
  • PECASE (2011)[2]
  • IEEE Information Theory Society James L. Massey Research & Teaching Award (2019)[3]
  • National Science Foundation CAREER Award[4][5]
Scientific career
Fields
Institutions
ThesisWireless network information flow: a deterministic approach (2008)
Doctoral advisorDavid Tse
Websiteviterbi.usc.edu/directory/faculty/Avestimehr/Salman

Education

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.[11][12][13]

Career and research

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 Professorship in Electrical Engineering at the University of Southern California where he has taught since 2013. He is currently 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, coded computing, coding theory, large-scale distributed computing, machine learning, and secure computing.[14][8]

Awards and honors
  • 2020. IEEE Fellow[10]
  • 2019. IEEE Information Theory Society James L. Massey Research & Teaching Award[3]
  • 2015. The Okawa Foundation Award[15]
  • 2013. IEEE Communications Society and Information Theory Society Joint Paper Award[16]
  • 2011. Presidential Early Career Award for Scientists and Engineers (PECASE, 2011)[2][17]
  • 2010. National Science Foundation CAREER Award[4][5]

Bibliography
  • “An Approximation Approach to Network Information Theory,” by A. S. Avestimehr, S. Diggavi, C. Tian and D. Tse, Foundations and Trends in Communications and Information Theory, 2015.[1]

Selected publications
  • Q. Yu, S. Li, N. Raviv, M. Mousavi Kalan, M. Soltanolkotabim and A. S. Avestimehr, “Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy,” in Proc. AISTATS 2019.[18]
  • M. Yu, Z. Lin, K. Narra, S. Li, Y. Li, N. S. Kim, A. Schwing, M. Annavaram, and A. S. Avestimehr, “GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training,” in NurIPS,

2018.[19]

  • S. Li, M. A. Maddah-Ali, Q. Yu and A. S. Avestimehr, “A Fundamental Tradeoff Between Computation and Communication in Distributed Computing,” in IEEE Transactions on Information Theory, vol. 64, no. 1, pp. 109-128, Jan. 2018.[20]
  • S. Li, M. A. Maddah-Ali and A. S. Avestimehr, “A Scalable Framework for Wireless Distributed Computing,” in ACM/IEEE Transactions on Networking, vol. 25, no. 5, pp. 2643-2654, Oct. 2017.[21]
  • N. Naderializadeh, M. Maddah-Ali, and A. S. Avestimehr, “Fundamental Limits of Cache-Aided Interference Management,” in IEEE Transactions on Information Theory, vol. 63, no. 5, pp. 3092-3107, May 2017.[22]
  • S. Li, M. A. Maddah-Ali and A. S. Avestimehr, “Coding for Distributed Fog Computing,” IEEE Communications Magazine, vol. 55, no. 4, pp. 34-40, April 2017.[23]
  • Q. Yu, M. A. Maddah-Ali and A. S. Avestimehr, “Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication,” in NIPS, 2017.
  • C. Geng, N. Naderializadeh, A. S. Avestimehr, and S. Jafar, “On the Optimality of Treating Interference as Noise,” IEEE Transactions on Information Theory, Vol 61, No 7, 2015.
  • N. Naderializadeh and A.S. Avestimehr, “ITLinQ: A New Approach for Spectrum Sharing in Device-to-Device Communication Systems,” IEEE Journal on Selected Areas in Communications Special Issue on 5G Wireless Communication Systems, Vol 32, No 6, 2014.
  • I. Shomorony and A. S. Avestimehr, “Worst-Case Additive Noise in Wireless Networks,” IEEE Transactions on Information Theory, Vol 59, No 6, June 2013
  • I. Shomorony and A. S. Avestimehr, “Two-Unicast Wireless Networks: Characterizing the Degrees-of-Freedom,” IEEE Transactions on Information Theory, Vol 59, No 1, January, 2013.
  • V. Aggarwal, A. S. Avestimehr, and A. Sabharwal, “On Achieving Local View Capacity Via Maximal Independent Graph Scheduling,” IEEE Transactions on Information Theory, Special Issue on Interference Networks, Vol 57, No 5, May 2011.
  • A. S. Avestimehr, S. N. Diggavi, and D. N. C. Tse, “Wireless Network Information Flow: A Deterministic Approach,” IEEE Transactions on Information Theory, Vol. 57, No. 4, pp. 1872-1905, April 2011.

References
  1. A. Avestimehr Salman, Suhas N Diggavi, Chao Tian, David N. C. Tse (2015). An Approximation Approach to Network Information Theory. Now Publishers. p. 198. ISBN 978-1-68083-026-2.CS1 maint: multiple names: authors list (link)
  2. “President Obama Honors Outstanding Early-Career Scientists”
  3. “James L. Massey Research & Teaching Award for Young Scholars”
  4. “Cornell Chronicle"Salman Avestimehr receives NSF early career award”
  5. “NSF:"Award Abstract #0953117”
  6. “USC Viterbi Faculty Directory”
  7. “Professor Avestimehr publications and research”
  8. Laboratory for Information and Decision Systems: Coded Computing: A Transformative Framework for Resilient, Secure, and Private Distributed Learning
  9. “Institute of Electrical and Electronics Engineers ”
  10. 2020 Newly Elevated Fellows
  11. “Berkeley EECS:"Wireless network information flow: a deterministic approach”
  12. “MIT LABORATORY FOR INFORMATION & DECISION SYSTEMS”
  13. “Avestimehr Linkedin Profile”
  14. “University of Minnesota: "Department of Electrical and Computer Engineering”
  15. “The Okawa Foundation for Information and Telecommunications”
  16. “Communications Society & Information Theory Society Joint Paper Award”
  17. “Iranian Who's who”
  18. “Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy”
  19. [https://experts.illinois.edu/en/publications/gradiveq-vector-quantization-for-bandwidth-efficient-gradient-agg “Illinois experts:" Vector quantization for bandwidth-efficient gradient aggregation in distributed CNN training”]
  20. “ResearchGate:"A Fundamental Tradeoff between Computation and Communication in Distributed Computing”
  21. “IEEE/ACM Transactions on Networking Journal ”
  22. “IEEE Digital Library”
  23. “Semantic Scholar:"Coding for Distributed Fog Computing”
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