Husheng Li

The University of Tennessee, Knoxville

Husheng Li received the BS and MS degrees in electronic engineering from Tsinghua University, Beijing, China, in 1998 and 2000, respectively, and the Ph.D. degree in electrical engineering from Princeton University, Princeton, NJ, in 2005. From 2005 to 2007, he worked as a senior engineer at Qualcomm Inc., San Diego, CA. In 2007, he joined the EECS department of the University of Tennessee, Knoxville, TN, as an assistant professor. He is promoted to full professor in 2019. His research is mainly focused on cyber physical systems, wireless communications, statistical signal processing and information theory. Dr. Li is the recipient of the Best Paper Awards of EURASIP Journal of Wireless Communications and Networks, 2005 and 2017, IEEE ICC 2011, IEEE SmartGridComm 2012, IEEE Globecom 2017, and the Best Demo Award of IEEE Globecom, 2010.

Research Areas

A detailed publication list:

Cyber Physical System with Autonomy

We have used entropy to bridge communications and control in cyber physical systems, and have studied the propagation of entropy in networked autonomous systems. See

  • H. Li, ``Entropy reduction via communications in cyber physical systems: How to feed maxwell's demon?’’ IEEE International Symposium on Information Theory, 2015
  • H. Li, ``Interdependency analysis of communications and control in networked cyber physical systems: An entropy framework.’’ Conference on Information Sciences and Systems, 2016
  • H. Li, ``Information efficiency of communications for networked control in cyber physical systems: When Carnot eets Shannon,'' IEEE Conference on Decision and Controls (CDC), 2016

Millimeter Wave Communications and Radar

We have studied the millimeter wave communications in 5G system by carrying out hardware experiments in 60GHz band. In particular, we addressed the challenges of blockage, directionality and phase uncertainty. We have integrated communications and radar with the same waveform. See

  • Y. Fan. J. Bao, M. Aljumaily, H. Li, ``Communications via frequency-modulated continuous-wave radar in millimeter wave band,'' IEEE Global Communication Conference, 2019.
  • J. Bao, and H. Li, ``Motion sensor aided beam management in mobile devices of millimeter-wave communications,'' IEEE International Conference on Communications, 2019.
  • Z. Zhang, J. Bao, Y. Fan, H. Li, ``Tracking via blocking in millimeter wave communication networks,'' IEEE International Conference on Communications, 2019.

Data Driven Statistical Signal Processing

We have studied the data driven quickest change detection, in which the probability distributions are unknown. We use Kolmogorov complexity, algorithmic probability and universal compression to handle the determinstic samples and test distribution changes. We have also studied the covariance matrix eigenvalues using the large random matrix theory. See

  • H. Li, ``Data driven quickest change detection: An algorithmic complexity approach.’’ IEEE International Symposium on Information Theory, 2016
  • H. Li and H. V. Poor, “Asymptotic spectral analysis of covariance matrix estimation,” Trans. Information Theory, pp. 1395—1422, March 2009


  • Fundamentals of communications: 2013 Fall, 2014 Spring, 2016 Fall, 2017 Fall, 2018 Spring, 2018 Fall, 2019 Spring, 2019 Fall
  • Signals and Systems: 2014 Fall, 2016 Fall, 2017 Fall, 2018 Fall
  • Digital Signal Processing: 2013 Spring, 2014 Fall
  • Detection and Estimation: 2015 Srping, 2020 Spring
  • Information Theory: 2012 Spring, 2019 Fall
  • Random Process: 2016 Spring

Self-learning for Fun

number theory

geometry and topology

gauge theory in physics

quantum physics