Reza Langari

J.R. Thompson Department Head Chair

Professor

REZA LANGARI FALL 2015

Office: 107 Fermier
Phone: 979.862.4945
Email: rlangari@tamu.edu

Curriculum Vitae
Google Scholar Profile

Research Interests

Development of Intelligent Rollover Warning and Control Systems for Tractor-Semitrailers, TAMU-CONACyT Collaborative Program, Sept. 1, 2002 - August 31 - 2003.

Development of System for Identifying Road Surface Condition using Free Space Optics, Texas Transportation Institute, Sept. 1, 2002 - August 31, 2003 (with R. Lytton as Co-PI.)

High Availability Automation Needs Analysis and Technology Assessment for Ultradeepwater E&P Operations, Research Partnership for Secure Energy for America (RPSEA), May 1, 2003 through December 31, 2003 (with Alex Parlos as Co-PI.)

Condition Based Monitoring for the H-60 Aircraft, Joint Council on Aging Aircraft (JCAA), June 1, 2004 through May 31, 2005, (joint project with Georgia Institute of Technology.)

Awards & Honors

  • 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.

Education

  • 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, 1980

Selected Publications

K. Faller, N. Robson, R. Langari, “Developing Models for Predicting Physiological Impaired Arm Reaching Paths,” Rehabilitation Robotics, (accepted for publication, 2/2017).

K. Huang*, C.-L. Xiang, Y. Ma, W. Wang and R. Langari, Mode Shift Control for a Hybrid Heavy-Duty Vehicle with Power-Split Transmission, Energies, 10, 177, February 2017, doi:10.3390/en10020177.

R. Sharifi* and R. Langari, “Nonlinear Sensor Fault Diagnosis using Mixture of Probabilistic PCA models”, Mechanical Systems and Signal Processing, Volume 85, 2017, pp. 638-650.

F.Q. Zhang*, J.-Q. Xi and R. Langari, “Real-time Energy Management Strategy Based on Velocity Forecast Using V2V and V2I Communications”, IEEE Transactions on Intelligent Transportation Systems, Vol. 18, No. 2, February 2017, pp. 416-429.

S. Shin, R. Tafreshi and R. Langari, “Robustness of Using Dynamic Motions and Template Matching to the Limb Position Effect in Myoelectric Classification”, ASME Journal of Dynamic Systems, Measurement and Control, Vol. 138, 2016.