Dr. Yanmin Gong

    Yanmin Gong

    Electrical and Computer Engineering
    University of Texas at San Antonio
    Office: BSE 1.514
    Email: yanmin DOT gong AT utsa.edu

Short Bio

Yanmin Gong is an assistant professor in the Department of Electrical and Computer Engineering at The University of Texas at San Antonio, where she directs the Trustworthy and Intelligent Networked Systems (TINS) Lab. She is a recipient of the prestigious NSF CAREER Award and NSF CRII Award. She received a Ph.D. degree in electrical and computer engineering at the University of Florida, an M.S. degree in electronic engineering at Tsinghua University, and a B.E. degree in electronics and information engineering at Huazhong University of Science & Technology.

Research Interests

My current research interests focus on wireless networks, security and privacy, machine learning, Internet of things, and edge computing.

Selected Honors and Awards

  • NSF CAREER Award, 2021
  • Rising Star in Networking and Communications, N2Women, 2021
  • Distinguished TPC Member, IEEE INFOCOM, 2020
  • NSF CISE CRII Award, 2019
  • Air Force Research Lab Summer Faculty Fellowship, June 2019
  • UT Rising STARs Award, 2019
  • President’s Cup Award, Oklahoma State University, 2018
  • Best Paper Award at IEEE GLOBECOM, 2017
  • Outstanding Achievement Award, University of Florida, 2012 – 2013
  • Guanghua Scholarship for Excellent Students, Tsinghua University, 2011
  • Providence Scholarship, Tsinghua University, 2011
  • Outstanding Graduate Award, Huazhong University of Science and Technology, 2009


-[Jul. 2021] We received an NSF Medium Grant on efficient and privacy-preserving learning over 5G mobile devices. Thank you, NSF!

-[Jun. 2021] I am selected as Rising Star in Networking and Communications for 2021 by N2Women!

-[Jun. 2021] We received the GREAT seed grant from the VPREDKE Office at UTSA on natural hazard risk assessment towards Resilient 5G infrastructure.

-[May 2021] I received the CAREER Award from National Science Foundation! This project focuses on enabling time-critical federated learning in next generation networking.

-[Apr. 2021] Our work on sparsification-amplified privacy in federated learning has been accepted by IJCAI 2021. Congratulations, Rui!

-[Apr. 2021] I am invited to serve on INFOCOM 2022 TPC!

-[Mar. 2021] Department of Defense has awarded us on a honeynet testbed for cyber deception, cyber hardening, and disinformation! Thank you, DoD! Look forward to working on the testbed!

-[Feb., 2021] I am elevated to the grade of IEEE Senior Member!

-[Aug. 2020] We have four papers accepted by IEEE GLOBECOM 2020. Congrats to Shahira and Zhidong for their first paper!

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