Salman A. Avestimehr

Last updated
Salman Avestimehr
Salman Avestimehr.png
Born
Amir Salman Avestimehr
Nationality Iranian
Alma mater
Known for
  • “An Approximation Approach to Network Information Theory,” [1]
Awards
Scientific career
Fields
Institutions
Thesis Wireless network information flow: a deterministic approach  (2008)
Doctoral advisor David Tse
Website viterbi.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 [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.”

Contents

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. [14] [15] [16]

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 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]

Awards and honors

Bibliography

Selected publications

2018. [27]

Related Research Articles

Theoretical computer science is a subfield of computer science and mathematics that focuses on the abstract and mathematical foundations of computation.

A cognitive radio (CR) is a radio that can be programmed and configured dynamically to use the best channels in its vicinity to avoid user interference and congestion. Such a radio automatically detects available channels, then accordingly changes its transmission or reception parameters to allow more concurrent wireless communications in a given band at one location. This process is a form of dynamic spectrum management.

Wireless sensor networks (WSNs) refer to networks of spatially dispersed and dedicated sensors that monitor and record the physical conditions of the environment and forward the collected data to a central location. WSNs can measure environmental conditions such as temperature, sound, pollution levels, humidity and wind.

In telecommunications, an interference is that which modifies a signal in a disruptive manner, as it travels along a communication channel between its source and receiver. The term is often used to refer to the addition of unwanted signals to a useful signal. Common examples include:

In computer networking, linear network coding is a program in which intermediate nodes transmit data from source nodes to sink nodes by means of linear combinations.

A wireless ad hoc network (WANET) or mobile ad hoc network (MANET) is a decentralized type of wireless network. The network is ad hoc because it does not rely on a pre-existing infrastructure, such as routers or wireless access points. Instead, each node participates in routing by forwarding data for other nodes. The determination of which nodes forward data is made dynamically on the basis of network connectivity and the routing algorithm in use.

Babak Hassibi is an Iranian-American electrical engineer, computer scientist, and applied mathematician who is the inaugural Mose and Lillian S. Bohn Professor of Electrical Engineering and Computing and Mathematical Sciences at the California Institute of Technology (Caltech). From 2011 to 2016 he was the Gordon M Binder/Amgen Professor of Electrical Engineering. During 2008-2015 he was the Executive Officer of Electrical Engineering and Associate Director of Information Science and Technology.

Virgil Dorin Gligor is a Romanian-American professor of electrical and computer engineering who specializes in the research of network security and applied cryptography.

<span class="mw-page-title-main">Kang G. Shin</span> South Korean computer scientist (born 1946)

Kang Geun Shin is a South Korean-born computer scientist and the Kevin and Nancy O'Connor Professor of Computer Science in the Electrical Engineering and Computer Science Department at the University of Michigan. He is also the founding director of the Real-Time Computing Laboratory (RTCL). He is known for his contributions to the field of real-time fault-tolerant systems. Shin is a recipient of the Korean Ho-Am Prize in Engineering. This prize is awarded for the "outstanding contributions to the development of science and culture and enhancement of the welfare of mankind".

In mathematics and telecommunications, stochastic geometry models of wireless networks refer to mathematical models based on stochastic geometry that are designed to represent aspects of wireless networks. The related research consists of analyzing these models with the aim of better understanding wireless communication networks in order to predict and control various network performance metrics. The models require using techniques from stochastic geometry and related fields including point processes, spatial statistics, geometric probability, percolation theory, as well as methods from more general mathematical disciplines such as geometry, probability theory, stochastic processes, queueing theory, information theory, and Fourier analysis.

Ramesh R. Rao is currently the director of the California Institute for Telecommunications and Information Technology, a division of the University of California, San Diego. He was appointed as the first holder of the Qualcomm Endowed Chair in Telecommunications and Information Technologies in 2004 in the department of Electrical and Computer Engineering of the Jacobs School of Engineering at University of California, San Diego where he has been a faculty member since 1984.

Syed Ali Jafar is an Indian-American electrical engineer and computer scientist. He works at the University of California, Irvine, and has previously worked at Lucent Bell Labs, Qualcomm and Hughes Software Systems. His research interests include multi-user information theory, wireless communications and network coding. He was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2014 "for contributions to analyzing the capacity of wireless communication networks" and won the Blavatnik Award for Young Scientists in 2015 "for his discoveries in interference alignment in wireless networks, changing the field’s thinking about how these networks should be designed."

Timothy M. Pinkston is an American computer engineer, researcher, educator and administrator whose work is focused in the area of computer architecture. He holds the George Pfleger Chair in Electrical and Computer Engineering and is a Professor of Electrical and Computer Engineering at University of Southern California (USC). He also serves in an administrative role as Vice Dean for Faculty Affairs at the USC Viterbi School of Engineering.

<span class="mw-page-title-main">Zygmunt Haas</span> American professor emeritus of electrical and computer engineering

Zygmunt J. Haas is a professor and distinguished chair in computer science, University of Texas at Dallas (UTD) also the professor emeritus in electrical and computer engineering, Cornell University. His research interests include ad hoc networks, wireless networks, sensor networks, and zone routing protocols.

Arun K. Somani is Associate Dean for Research of College of Engineering, Distinguished Professor of Electrical and Computer Engineering and Philip and Virginia Sproul Professor at Iowa State University. Somani is Elected Fellow of Institute of Electrical and Electronics Engineers (IEEE) for “contributions to theory and applications of computer networks” from 1999 to 2017 and Life Fellow of IEEE since 2018. He is Distinguished Engineer of Association for Computing Machinery(ACM) and Elected Fellow of The American Association for the Advancement of Science(AAAS).

Giuseppe Caire is an Italian telecommunications engineer.

Can Emre Koksal is an electrical engineer, computer scientist, academic, and entrepreneur. He is the Founder and CEO of Datanchor, and a professor of Electrical and Computer Engineering at Ohio State University.

<span class="mw-page-title-main">Athina Petropulu</span> American electrical engineer

Athina Petropulu is a Greek electrical engineer, researcher and academic. She is Distinguished Professor in the Electrical and Computer Engineering (ECE) Department at Rutgers, The State University of New Jersey. She has made contributions in signal processing, wireless communications and networks, and radar systems. She received many awards for her work in these areas.

References

  1. 1 2 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.
  2. 1 2 “President Obama Honors Outstanding Early-Career Scientists”
  3. 1 2 “James L. Massey Research & Teaching Award for Young Scholars”
  4. 1 2 “Cornell Chronicle"Salman Avestimehr receives NSF early career award”
  5. 1 2 “NSF:"Award Abstract #0953117”
  6. ↑ “USC-Amazon Center for Secure and Trusted Machine Learning”
  7. ↑ “USC Viterbi Faculty Directory”
  8. ↑ “USC-Amazon Center on Secure and Trusted Machine Learning”
  9. ↑ “FedML, Inc.”
  10. ↑ “Professor Avestimehr publications and research”
  11. 1 2 Laboratory for Information and Decision Systems: Coded Computing: A Transformative Framework for Resilient, Secure, and Private Distributed Learning
  12. ↑ “Institute of Electrical and Electronics Engineers ”
  13. 1 2 2020 Newly Elevated Fellows
  14. ↑ “Berkeley EECS:"Wireless network information flow: a deterministic approach”
  15. ↑ “MIT LABORATORY FOR INFORMATION & DECISION SYSTEMS”
  16. ↑ “Avestimehr Linkedin Profile”
  17. ↑ “University of Minnesota: "Department of Electrical and Computer Engineering”
  18. ↑ “The Okawa Foundation for Information and Telecommunications”
  19. ↑ “Communications Society & Information Theory Society Joint Paper Award”
  20. ↑ “Iranian Who's who”
  21. ↑ I. Shomorony; A. Avestimehr Salman (2014). Multihop Wireless Networks: A Unified Approach to Relaying and Interference Management. Now Publishers. p. 131. ISBN   978-1-60198-904-8.
  22. ↑ Songze Li; A. Avestimehr Salman (2020). Coded Computing. Now Publishers. p. 148. ISBN   978-1-68083-704-9.
  23. ↑ Kiana Avestimehr & A. Avestimehr Salman (2020). Problem Solving Strategies for Elementary-School Math. Now Publishers. p. 124. ISBN   978-1-68083-984-5.
  24. ↑ “Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge”
  25. ↑ “FedML: A research library and benchmark for federated machine learning”
  26. ↑ “Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy”
  27. ↑ “Illinois experts:" Vector quantization for bandwidth-efficient gradient aggregation in distributed CNN training”
  28. ↑ “ResearchGate:"A Fundamental Tradeoff between Computation and Communication in Distributed Computing”
  29. ↑ “IEEE/ACM Transactions on Networking Journal ”
  30. ↑ “IEEE Digital Library”
  31. ↑ “Semantic Scholar:"Coding for Distributed Fog Computing”
This page is based on this Wikipedia article
Text is available under the CC BY-SA 4.0 license; additional terms may apply.
Images, videos and audio are available under their respective licenses.