• 447 Citations
  • 12 h-Index
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Personal profile


Dr. Hamid Taghavifar is currently an Assistant Professor with the School of Mechanical, ‎Aerospace and Automotive Engineering, Coventry University, UK. Formerly, he was a ‎Vehicle Ride and Handling Engineer at Fiat Chrysler Canada, after working as a Horizon Postdoctoral Fellow at CONCAVE Research Center, Concordia University in Canada, with the research focus on ‎‎‘‘Analysis of high-load capacity and high-speed frame-steered off-road vehicles’’. ‎ His field of interests includes Automated Driving, Control of Autonomous Systems (Adaptive, ‎Nonlinear, and Intelligent), Nonlinear and Chaotic Systems, Robotics and Artificial ‎Intelligence.

Education/Academic qualification

Mechanical Engineering, Doctorate


  • TJ Mechanical engineering and machinery
  • Automated Driving
  • Vehicle Dynamics and Controls
  • Artificial Intelligence

Fingerprint Dive into the research topics where Hamid Taghavifar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Wheels Engineering & Materials Science
Tires Engineering & Materials Science
Neural networks Engineering & Materials Science
Bins Engineering & Materials Science
Off road vehicles Engineering & Materials Science
Soils Engineering & Materials Science
Radial tires Engineering & Materials Science
Rolling resistance Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2019

  • 447 Citations
  • 12 h-Index
  • 38 Article
  • 1 Book
  • 1 Editorial
Vibrations (mechanical)
1 Citation (Scopus)
13 Downloads (Pure)
Open Access
Nonlinear Predictive Control
Path Tracking
Autonomous Vehicles
Ground vehicles
Neural Networks

A robust fuzzy control approach for path-following control of autonomous vehicles

Mohammadzadeh, A. & Taghavifar, H., 22 May 2019, In : Soft Computing. (In-press), p. (In-press) 13 p.

Research output: Contribution to journalArticle

Path Following
Autonomous Vehicles
Robust control
Fuzzy control
Fuzzy Control
2 Citations (Scopus)
Neural networks
Robustness (control systems)
System stability
8 Citations (Scopus)

MME-EKF-Based Path-Tracking Control of Autonomous Vehicles Considering Input Saturation

Hu, C., Wang, Z., Taghavifar, H., Na, J., Qin, Y., Guo, J. & Wei, C., 1 Jun 2019, In : IEEE Transactions on Vehicular Technology. 68, 6, p. 5246 - 5259 14 p., 8675462.

Research output: Contribution to journalArticle

Path Tracking
Input Saturation
Autonomous Vehicles
Tracking Control
Nonlinear feedback