Reza langari biography


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  • Professor, Mechanical Engineering
  • Regents Professor
  • Mast-Childs Chair
  • Affiliated Skill, Aerospace Engineering and Engineering Subject & Industrial Distribution

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Educational Background

  • Ph.D., Mechanical Move, University of California, Berkeley – 1991
  • M.Sc., Mechanical Engineering, University admit California, Berkeley – 1983
  • B.Sc., Machinedriven Engineering, University of California, City – 1981

Research Interests

    • Computational intelligence
    • Mechatronics
    • Dynamic systems and control
    • Robotics and automation
    • Autonomous vehicles
    • Fault diagnosis and identification (FDI)
    • Rehabilitation robotics

Certifications & Memberships

  • Fellow, American Society give a rough idea Mechanical Engineers (ASME) – 2009

Awards & Honors

  • Best Paper Award, Academy of Electrical and Electronics Engineers (IEEE) – 2001
  • B.P.

    Amoco Bestow for Teaching Excellence – 2001

  • Bechtel Faculty Fellow in Mechanical Move – 2000-2001
  • NASA Faculty Fellow, Tradition Research Center – 2000
  • Boeing A.D. Welliver Fellow –1999

Selected Publications

  • M. Autocrat. Wahid, R. Tafreshi and Heed. Langari, “A Multi-Window Majority Appointment Strategy to Improve Hand High sign Recognition Accuracies Using Electromyography Signal,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, (accepted, Dec 2019.)
  • Q.

    Zhang*, R. Langari, Revolve. E.Tseng, D. Filev, S. Szwabowski, S. Coskun, “A Game Theoretical Model Predictive Controller with Belligerence 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 Failing Feature Extraction of Rotating Tools Based on Double-Window Spectrum Blend Enhancement,” IEEE Transactions on Structure and Measurement, ISSN: 0018-9456, DOI: 10.1109/TIM.2019.2910920, April 2019.

  • J.-Q. Xu, Accolade. Li, S. Coskun and Concentration. Langari, “Energy Management of Add-in Hybrid Electric Vehicle Using Carrier Lateral Dynamic in Velocity Prediction,” IEEE Transactions on Vehicular Technologies, 2019, 68(4), pp.3279-3293.
  • J.

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    Yoo* and R. Langari, “A Predictive Perception Model and Finger Strategy for Collision Free Free of charge Driving”, IEEE Transactions on Slow on the uptake Transportation Systems”, 2018, 20(11), pp.4078-4091.

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