Associate Professor

Contact InformationNasser Lashgarian Azad

Phone: 519-888-4567 x48797
Location: E7 6424


Biography Summary

Nasser Lashgarian Azad is an Associate Professor in the Systems Design Engineering department and is also part of the University of Waterloo Centre for Automotive Research (WatCAR), as well as the Waterloo Artificial Intelligence Institute.

He undertook his postdoctoral studies at the Vehicle Dynamics and Control lab in the University of California, Berkeley. His primary research interests lie in control of connected hybrid and electric vehicles, autonomous cars, and unmanned aerial vehicle quadrotors. He is also interested in applications of Artificial Intelligence for solving various engineering problems.

His articles in the above-mentioned areas have been published in high-calibre journal venues, including IEEE Intelligent Transportation Systems Transaction, IEEE Transactions on Vehicular Technology, Engineering Applications of Artificial Intelligence (an IFAC journal), Mechatronics, ASME Journal of Dynamic Systems, Measurement, and Control, Applied Soft Computing, Neurocomputing, and Engineering Optimization.

Research Interests

  • Automotive powertrain control
  • Vehicle dynamics
  • Controls
  • Model predictive control
  • Automotive
  • Autonomous and connected car
  • Unmanned vehicle systems
  • Intelligent transportation systems
  • Electric and hybrid vehicles
  • Artificial intelligence
  • Optimization
  • Optimal and nonlinear control

Selected/Recent Publications

  • B. Sakhdari and N. L. Azad, A distributed reference governor approach to ecological cooperative adaptive cruise control, IEEE Transactions on Intelligent Transportation Systems, 19(5), 2018, 1496 - 1507
  • P. Golchoubian and N. L. Azad, Real-time nonlinear model predictive control of a battery-supercapacitor hybrid energy storage system in electric vehicles, IEEE Transactions on Vehicular Technology, 66(11), 2017, 9678 - 9688
  • A. Mozaffari, N. L. Azad, J. K. Hedrick, and A. Taghavipour, A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart control, Engineering Applications of Artificial Intelligence, 48, 2016, 72 - 94
  • M. Vajedi and N. L. Azad, Ecological adaptive cruise controller for plug-in hybrid electric vehicles using nonlinear model predictive control, IEEE Intelligent Transportation Systems Transactions, 17(1), 2016, 113 - 122
  • A. Mozaffari, M. Vajedi , and N. L. Azad, A robust safety-oriented autonomous cruise control scheme for electric vehicles based on model predictive control and online sequential extreme learning machine with a hyper-level fault tolerance-based supervisor, Neurocomputing, 151, 2015, 845 - 856
  • A. Taghavipour, N. L. Azad, and J. McPhee, Real-time predictive control strategy for a plug-in hybrid electric powertrain, Mechatronics, 29, 2015, 13 - 27