• Professor, Mechanical Engineering
  • Department Head, Engineering Technology and Industrial Distribution
  • JR Thompson Endowed Chair, Engineering Technology and Industrial Distribution
  • Regents Professor
  • Affiliated Faculty, Aerospace Engineering
  • Affiliated Faculty, Electrical & Computer Engineering
  • Affiliated Faculty, Engineering Technology & Industrial Distribution
Reza Langari

Educational Background

  • Ph.D., Mechanical Engineering, University of California, Berkeley — 1991
  • M.Sc., Mechanical Engineering, University of California, Berkeley — 1983
  • B.Sc., Mechanical Engineering, University of California, Berkeley — 1981

Research Interests

    • Computational Intelligence
    • Mechatronics
    • Dynamic Systems and Control
    • Robotics and Automation
    • Autonomous Vehicles
    • Fault Diagnosis and Identification (FDI)
    • Rehabilitation Robotics

Awards & Honors

  • Fellow of the American Society of Mechanical Engineers (ASME), March 2009
  • IEEE Best Paper Award, IEEE Transactions on Fuzzy Systems, December 2001.
  • B.P. Amoco Award for Teaching Excellence, October 2001.
  • Bechtel Faculty Fellow in Mechanical Engineering, 2000-2001.
  • NASA Faculty Fellow, Ames Research Center, Summer 2000.
  • Boeing A.D. Welliver Fellow, Summer 1999.

Selected Publications

  • M. F. Wahid, R. Tafreshi and R. Langari, “A Multi-Window Majority Voting Strategy to Improve Hand Gesture Recognition Accuracies Using Electromyography Signal,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, (accepted, Dec 2019.)
  • Q. Zhang*, R. Langari, H. E.Tseng, D. Filev, S. Szwabowski, S. Coskun, “A Game Theoretic Model Predictive Controller with Aggressiveness Estimation for Mandatory Lane Change,” IEEE Transactions on Intelligent Vehicles, DOI 10.1109/TIV.2019.295536, (accepted Nov 2019).
  • J. Yao, J. Zhao, Y. Deng, and R. Langari, “Weak Fault Feature Extraction of Rotating Machinery Based on Double-Window Spectrum Fusion Enhancement,” IEEE Transactions on Instrumentation and Measurement, ISSN: 0018-9456, DOI: 10.1109/TIM.2019.2910920, April 2019.
  • J.-Q. Xu, L. Li, S. Coskun and R. Langari, “Energy Management of Plug-In Hybrid Electric Vehicle Using Vehicle Lateral Dynamic in Velocity Prediction,” IEEE Transactions on Vehicular Technologies, 2019, 68(4), pp.3279-3293.
  • J. Yoo* and R. Langari, “A Predictive Perception Model and Control Strategy for Collision Free Autonomous Driving”, IEEE Transactions on Intelligent Transportation Systems”, 2018, 20(11), pp.4078-4091.