Zhi (Gerry) Tian

Zhi (Gerry) Tian



Professor, Electrical and Computer Engineering

  • PhD, Electrical Engineering, George Mason University
  • MS, Systems Engineering, George Mason University
  • ME, Electrical Engineering, TsingHua University, Beijing
  • BS, Electrical Engineering, University of Science & Technology


Zhi (Gerry) Tian received the B.E. degree in Electrical Engineering from the University of Science and Technology of China in 1994, and the M.S. and Ph.D. degrees from George Mason University in 1998 and 2000 respectively. Since August 2000, she has been on the faculty of the department of Electrical and Computer Engineering, Michigan Technological University, where she is currently an Associate Professor. Her general interests are in the areas of communications, signal processing, detection and estimation. Specific areas of expertise have included statistical sensor array processing, adaptive filtering, target tracking, Bayesian inference, and decision network theory and applications. Current research topics focus on cognitive radio networks and distributed wireless sensor networks. She is a member of the IEEE Signal Processing for Communications Technical Committee and the IEEE Wireless Communications Technical Committee. She served as Associate Editor for IEEE Transactions on Wireless Communications and IEEE Transaction on Signal Processing. She received a CAREER award from the National Science Foundation in 2003.

Links of Interest

Areas of Interest

  • Wireless communications
  • Signal processing
  • Detection and estimation
  • Specific areas: statistical array processing, adaptive filtering, target tracking, bayesian interface, and decision network theory and applications

Recent Publications

  • Z. Tian, G. Leus, and V. Lottici, “Joint Dynamic Resource Allocation and Waveform Adaptation for Cognitive Networks,” IEEE Journal on Selected Areas in Communications, Special Issue on Advances in Cognitive Radio Networking and Communications (to appear)
  • Q. Ling, Y. Fu, and Z. Tian, “Localized Sensor Management for Multi-Target Tracking in Wireless Sensor Networks,” Elsevier Journal of Information Fusion, Special Issue on Future Generation Communication Environments (to appear)
  • Q. Ling, and Z. Tian, “Decentralized Sparse Signal Recovery for Compressive Sleeping Wireless Sensor Networks,” IEEE Transactions on Signal Processing, 2010.
  • C.-G. Yang, J.-D. Li, and Z. Tian, “Optimal Power Control for Cognitive Radio Networks with Coupled Interference Constraints: A Cooperative Game-Theoretic Perspective,” IEEE Transactions on Vehicular Technology, Special Issue on Cognitive Radio, 2010.
  • Q. Ling, Z. Tian, and Y. Li, “Distributed Decision Making in Wireless Sensor Networks for Online Structural Health Monitoring,” Journal of Communications and Networks, Special Issue on Distributed Processing for Wireless Networks, 2010.
  • V. Lottici, Z. Tian, and G. Leus, “A Novel Approach to UWB Data Detection with Symbol-Level Synchronization,” Elsevier Journal of Physical Communication, Special Issue on Advances in Ultra-Wideband Wireless Communications, vol. 2, no. 4, pp. 296-305, Dec. 2009.
  • Q. Ling, Z. Tian, Y. Yin, and Y. Li, “Localized Structural Health Monitoring Using Energy-Efficient Wireless Sensor Networks,” IEEE Sensors Journal: Special Issue on Sensors Systems for Structural Health Monitoring, vol. 9, no. 11, pp. 1596-1604, November 2009.