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Amir Mehdi Soufi

I am a Ph.D. Candidate at the University of Victoria in Canada. I have worked on multiple robotic and intelligent systems projects, mostly focused on applied Reinforcement Learning. My interests include reinforcement learning, representation learning, deep generative models, simulation and modeling, robot design and control, and intelligent manufacturing. Previously, I studied control theory and applied design and worked as a mechanical design engineer and automation engineer.

Education

Current Projects

Selected Publications

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Using Implicit Behavior Cloning and DMP for Robot Motion Planning
Z. Zhang, J. Hong, A. M. S. Enayati, and H. Najjaran.
IEEE Transactions on Robotics

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Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning
H. Honari, A. M. S. Enayati, M. G. Tamizi, and H. Najjaran.
IEEE IROS 2024

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Facilitating Sim-to-Real via Intrinsic Stochasticity
A. M. S. Enayati, R. Dershan, Z. Zhang, D. Richert, and H. Najjaran.
IEEE Transactions on AI

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Exploiting Symmetry and Heuristic Demonstrations
A. M. S. Enayati, Z. Zhang, K. Gupta, H. Najjaran.
Submitted to Springer Neural Computing & Applications

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A Methodical Interpretation of Adaptive Robotics
A. M. S. Enayati, Z. Zhang, H. Najjaran.
Neurocomputing, 2022

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Extended Reality for Enhanced Human-Robot Collaboration
Y. Karpichev, T. Charter, J. Hong, A. M. S. Enayati, H. Honari, M. G. Tamizi, and H. Najjaran.
IEEE ROMAN 2024

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Visual Deformation Detection Using Soft Simulation
J. Sol, A. M. S. Enayati, and H. Najjaran.
IEEE CASE 2024

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Ego-Motion Aware Target Prediction for Multi-Object Tracking
N. Mahdian, M. Jani, A. M. S. Enayati, and H. Najjaran.
arXiv

Patents

Work Experience

University of Victoria / UBC — BC, Canada Sep. 2020 - Present

Durali System Design & Automation (DSDA Co.) — Tehran, Iran Mar. 2016 - Mar. 2020

S. Rezaei Research Center (SRRC) — Tehran, Iran May 2015 - Dec. 2015