Behzad Akbari

Behzad Akbari portrait
Assistant Professor / Faculty of Arts and Science - Computer Science and Mathematics
Full-time Faculty
BSc, Software Engineering, Azad University of Central Tehran, Iran
MSc, Computer Science, McMaster University, Canada
PhD, Electrical and Computer Engineering, McMaster University, Canada

Research Interests

  • Artificial intelligence
  • State estimation and sensor fusion
  • Multi-target tracking
  • Multi-agent collaboration
  • Multi-robot path planning
  • Multi-output Gaussian Process
  • Reinforcement learning
  • Deep learning
  • Trust engine
  • Fault tolerance systems

Current and Future Research

  • Modeling agent behavior using stochastic processes
  • Trust evaluation and establishment for multi-agent systems


  • Artificial Intelligence
  • Digital Systems
  • Machine Structure
  • Data Structure
  1. B. Akbari, Z. Wang, H. Zhu, L. Wan, R. Adderson, Y. Pan (2023). "Role Engine Implementation for a Continuous and Collaborative Multi-Robot System," arXiv:2307.03103.
  2. B. Akbari, H. Zhu, Y.-J. Pan. "Trust Establishment for the Role-Based Collaborative Multi-Robot Systems." Proc. IEEE Int’l Conf. on Systems, Man, and Cybernetics, Maui, Hawaii, USA (Accepted).
  3. B. Akbari and H. Zhu. "Fault-Resilience Role Engine for an Autonomous Cooperative Multi-Robot System using E-CARGO." Proc. IEEE Int’l Conf. on Systems, Man, and Cybernetics, Prague, Czech, Oct. 2022, pp. 730-735.
  4. B. Akbari and H. Zhu. "Tracking Dependent Extended Targets Using Multi-Output Spatiotemporal Gaussian Processes." IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 18301-18314, Oct. 202
  5. B.Akbari B, J.Thiyagalingam , R.Lee , T.Kirubarajan. A Multilane Tracking Algorithm Using IPDA with Intensity Feature. Sensors. 2021; 21(2):461.