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Behzad Akbari received the degree in computer software and the M.Sc.Eng. degree in computer architecture from Tehran and Knowledge and Research University, Iran, in 1996 and 1999, respectively, and the M.S. and Ph.D. degrees in computer science and electrical and computer engineering (ECE) from McMaster University, Canada, in 2014 and 2021, respectively. He is currently a Post-Doctoral Fellow with the Collaborative Systems Laboratory (CoSys Lab), Department of Computer Science and Mathematics, Nipissing University, Canada. His research interests include algorithms for state estimation, collaborative multi-agent systems, multi-target tracking, multi-output Gaussian process, iterative localization and mapping, factor graph optimization, and reinforcement learning.
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论文共 7 篇作者统计合作学者相似作者
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMSno. 2 (2024): 866-877
IEEE/ASME Transactions on Mechatronicsno. 99 (2024): 1-11
CoRRno. 2 (2023): 866-877
2023 IEEE Symposium Series on Computational Intelligence (SSCI)pp.908-913, (2023)
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