World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
10139
World Ranking
6037
National Ranking
1677

Research.com Recognitions

  • 2009 - Fellow of the American Society of Mechanical Engineers

Overview

Reza Langari is affiliated with Texas A&M University in the United States and has contributed extensively to research in engineering and computer science, particularly within the domains of automotive and control systems engineering. Their scholarly output includes over one hundred publications, highlighting a focus on various subfields such as automotive engineering, control and systems engineering, biomedical engineering, electrical and electronic engineering, and mechanical engineering.

The main topics covered in Langari's work feature traffic control and management, electric and hybrid vehicle technologies, multi-criteria decision making, sensor technology and measurement systems, muscle activation and electromyography studies, vehicle dynamics and control systems, as well as electric vehicles and infrastructure.

Frequent publication venues for Langari include arXiv (Cornell University), IEEE Transactions on Intelligent Transportation Systems, Journal of Intelligent & Fuzzy Systems, SSRN Electronic Journal, and Sustainability. Among recent notable papers are:

  • Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles (2023), published in Sustainability
  • Adaptive energy management in automated hybrid electric vehicles with flexible torque request (2020), published in Energy
  • CLEVERarm: A Lightweight and Compact Exoskeleton for Upper-Limb Rehabilitation (2021), published in IEEE Robotics and Automation Letters
  • Consistency Improvement-Driven Decision-Making Methods with Probabilistic Multiplicative Preference Relations (2020), published in Group Decision and Negotiation
  • Real-time self-adaptive Q-learning controller for energy management of conventional autonomous vehicles (2023), published in Expert Systems with Applications

Langari collaborates frequently with several coauthors, including Alan S. Morris, Fengqi Zhang, Serdar Coskun, Mojgan Fayyazi, and Hamid Khayyam. Their partnership appeared in multiple publications, reflecting shared research interests in their fields of expertise.

Langari was awarded the title of Fellow of the American Society of Mechanical Engineers in 2009, which recognizes standing within the professional engineering community.

Best Publications

  • Fuzzy Logic: Intelligence, Control, and Information

    John Yen;Reza Langari

  • Industrial Applications of Fuzzy Logic and Intelligent Systems

    John Yen;Reza Langari;Lofti A. Zadeh

  • Energy management strategies of connected HEVs and PHEVs: Recent progress and outlook

    Fengqi Zhang;Xiaosong Hu;Reza Langari;Dongpu Cao

  • Intelligent energy management agent for a parallel hybrid vehicle-part I: system architecture and design of the driving situation identification process

    R. Langari;Jong-Seob Won

  • A human-like game theory-based controller for automatic lane changing

    Hongtao Yu;H. Eric Tseng;Reza Langari

  • Complex systems modeling via fuzzy logic

    Liang Wang;R. Langari

  • Real-Time Energy Management Strategy Based on Velocity Forecasts Using V2V and V2I Communications

    Fengqi Zhang;Junqiang Xi;Reza Langari

  • Building Sugeno-type models using fuzzy discretization and orthogonal parameter estimation techniques

    Liang Wang;R. Langari

  • Intelligent energy management agent for a parallel hybrid vehicle-part II: torque distribution, charge sustenance strategies, and performance results

    Jong-Seob Won;R. Langari

  • Fuzzy Control: Synthesis and Analysis

    Shehu S. Farin Wata;Reza Langari;Dimitar P. Filev

  • On the stability issues of linear Takagi-Sugeno fuzzy models

    Joongseon Joh;Ye-Haw Chen;R. Langari

  • Semiactive nonlinear control of a building with a magnetorheological damper system

    Yeesock Kim;Reza Langari;Stefan Hurlebaus

  • Robust fuzzy control of a magnetic bearing system subject to harmonic disturbances

    Sung-Kyung Hong;R. Langari

  • An energy management and charge sustaining strategy for a parallel hybrid vehicle with CVT

    Jong-Seob Won;R. Langari;M. Ehsani

  • Measurement and Instrumentation: Theory and Application

    Alan S. Morris;Reza Langari

  • An LMI-based H ∞ fuzzy control system design with TS framework

    Sung-Kyung Hong;Reza Langari

  • A defuzzification strategy for a fuzzy logic controller employing prohibitive information in command formulation

    N. Pfluger;J. Yen;R. Langari

  • Classification of EEG signals for epileptic seizures using hybrid artificial neural networks based wavelet transforms and fuzzy relations

    Ozan Kocadagli;Reza Langari

  • Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles

    Unknown

  • Fuzzy torque distribution control for a parallel hybrid vehicle

    Jong-Seob Won;Reza Langari

  • Model-Based Multi-input, Multi-output Supervisory Semi-active Nonlinear Fuzzy Controller

    Yeesock Kim;Stefan Hurlebaus;Reza Langari

Frequent Co-Authors

Stefan Hurlebaus
Stefan Hurlebaus Texas A&M University
John Yen
John Yen Pennsylvania State University
Changle Xiang
Changle Xiang Beijing Institute of Technology
Dimitar Petrov Filev
Dimitar Petrov Filev Ford Motor Company (United States)
Mehrdad Ehsani
Mehrdad Ehsani Texas A&M University
Nader Meskin
Nader Meskin Qatar University
Ruqiang Yan
Ruqiang Yan Xi'an Jiaotong University
Mo Jamshidi
Mo Jamshidi The University of Texas at San Antonio
Xiaosong Hu
Xiaosong Hu Chongqing University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Reza Langari

Trending Scientists