Behzad Akbari
Assistant Professor / Faculty of Arts and Science - Computer Science and Mathematics
About
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Education
BSc, Software Engineering, Azad University of Central Tehran, Iran
MSc, Computer Science, McMaster University, Canada
PhD, Electrical and Computer Engineering, McMaster University, Canada
Research
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
Teaching
- Artificial Intelligence
- Digital Systems
- Machine Structure
- Data Structure
Publications
- 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.
- 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).
- 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.
- 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
- B.Akbari B, J.Thiyagalingam , R.Lee , T.Kirubarajan. A Multilane Tracking Algorithm Using IPDA with Intensity Feature. Sensors. 2021; 21(2):461. https://doi.org/10.3390/s21020461