Yimin Zhang

Associate Professor in Electrical and Computer Engineering

Office Hours

Mondays 2:00 - 5:00 PM


Dr. Yimin D. Zhang earned his Ph.D. in Engineering from the University of Tsukuba, Japan.  Prior to joining Temple University, he was a research professor at the Center for Advanced Communications, Villanova University, where he directed the Wireless Communications and Positioning Lab and the Radio Frequency Identification (RFID) Lab.  His general research interests lie in the areas of statistical signal and array processing, time-frequency analysis, compressive sensing, and convex optimization for applications in wireless communications, radar, RFID, navigation, and assisted living.  Dr. Zhang has been a Principal Investigator and Co-Principal Investigator of $5M grants and contracts from the National Science Foundation, the Air Force Research Lab, the Office of Naval Research and the Defense Advanced Research Project Agency.  Dr. Zhang has authored and coauthored more than 260 journal and conference papers and 11 book chapters. He is an associate editor for the IEEE Transactions on Signal Processing, an editor for the Signal Processing journal, and a member of the Sensor Array and Multichannel Technical Committee of the IEEE Signal Processing Society. 


  • Ph.D. Engineering, University of Tsukuba, Japan, 1988 
  • M. Sc. Engineering, University of Tsukuba, Japan, 1985
  • B.Eng.  Northwest Telecommunications Engineering Institute (Xidian University), China, 1982 

Academic Appointments

  • Associate Professor, Temple University, Philadelphia, PA, 2015-present
  • Research Professor, Villanova University, Villanova, PA, 2009-2015
  • Research Associate Professor, Villanova University, Villanova, PA 2003-2009 

Recent Publications

  • Q. Wu, Y. D. Zhang, M. G. Amin, and B. Himed, “Multi-task Bayesian compressive sensing exploiting intra-task correlation,” IEEE Signal Processing Letters, vol. 22, no. 4, pp. 430-434, April 2015.
  • S. Qin, Y. D. Zhang, and M. G. Amin, “Generalized coprime array configurations for direction-of-arrival estimation,” IEEE Transactions on Signal Processing, vol. 63, no. 6, pp. 1377-1390, March 2015.
  • S. Qin, Y. D. Zhang, Q. Wu, and M. G. Amin, “Near-field source localization based on sparse reconstruction of sensor-angle distributions using a thinned linear array,” International Journal on Antennas and Propagation, vol. 2015, article ID 783467, March 2015. 
  • Q. Wu, Y. D. Zhang, W. Tao, and M. G. Amin, “Radar-based fall detection based on Doppler time-frequency signatures for assisted living,” IET Radar, Sonar & Navigation, special issue on Application of Radar to Remote Patient Monitoring and Eldercare, vol. 9, no. 2, pp. 164-172, Feb. 2015.
  • B. K. Chalise, Y. D. Zhang, M. G. Amin, and B. Himed, “Target localization in a multi-static passive radar system through convex optimization,” Signal Processing, vol. 102, pp. 207-215, Sept. 2014.
  • L. Stankovic, S. Stankovic, I. Orovic, and Y. D. Zhang, “Time-frequency analysis of micro-Doppler signals based on compressive sensing,” in M. Amin (ed.), Compressive Sensing for Urban Radars. CRC Press, 2014.
  • B. Chalise, W.-K. Ma, Y. D. Zhang, H. Suraweera, and M. G. Amin, “Optimum performance boundaries of OSTBC based AF-MIMO relay system with energy harvesting receiver,” IEEE Transactions on Signal Processing, vol. 61, no. 17, pp. 4199-4213, Sept. 2013. 

Research Interests

  • Statistical signal and array processing
  • Wireless communications and networks
  • Radar signal processing and imaging
  • Compressive sensing and sparse signal reconstruction
  • Convex optimization
  • Source/target localization and tracking
  • Blind source separation and channel identification
  • Nonstationary signal and time-frequency analysis
  • Assisted living
  • Ultrasonic nondestructive evaluation and structure health monitoring
  • Radio frequency identification (RFID)