Highly accomplished Assistant Professor with a Ph.D. in Electrical and Computer Engineering, specializing in advanced control systems, robotics, and machine learning. Proven expertise in developing innovative algorithms for complex dynamic systems and contributing to over 50 peer-reviewed publications. Adept at leading impactful research, securing significant grants, and mentoring graduate students to drive advancements in intelligent systems and automation.
Babolsar, Mazandaran, Iran (Islamic Republic of)
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Summary
Leading advanced research and instruction in control systems and robotics, shaping the next generation of engineers.
Highlights
Developed and taught advanced graduate-level courses in Optimal and Robust Control, Nonlinear Control, and Robotics, impacting over 150 students annually.
Secured competitive research grants totaling over $100,000 for projects in intelligent control systems and human-robot interaction.
Supervised 15+ M.Sc. and Ph.D. students, guiding their research from conceptualization to publication in high-impact journals.
Authored and co-authored over 30 peer-reviewed articles in prestigious journals and conferences since 2018, significantly advancing knowledge in control theory and machine learning applications.
Established a new research laboratory focused on advanced robotics, attracting external collaborations and enhancing departmental research capabilities.
Babolsar, Mazandaran, Iran (Islamic Republic of)
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Summary
Delivered foundational and advanced courses in electrical engineering, fostering strong student engagement and academic performance.
Highlights
Taught core undergraduate courses including Linear Control Systems, Electrical Circuits, and Industrial Electronics to over 200 students per year.
Redesigned course syllabi and lab exercises to incorporate modern industry practices, improving student comprehension by an average of 15%.
Mentored undergraduate students on research projects, leading to 5+ successful presentations at national student conferences.
Contributed to departmental curriculum development, integrating new topics in renewable energy systems into the Electrical Engineering program.
Awarded By
University of Mazandaran
Recognized for significant contributions to research and publications in the field of Electrical and Computer Engineering.
Awarded By
University of Mazandaran
Awarded for exceptional research and innovative findings presented in doctoral dissertation.
Awarded By
University of Mazandaran
Achieved the highest score in the national Ph.D. entrance examination for Electrical and Computer Engineering.
Published by
IEEE Transactions on Automatic Control
Summary
Developed a novel robust adaptive control scheme for a class of uncertain nonlinear systems, demonstrating improved performance and stability margins compared to existing methods through extensive simulations and theoretical analysis.
Published by
Journal of Intelligent & Robotic Systems
Summary
Proposed a reinforcement learning framework to optimize human-robot collaborative tasks, achieving a 20% increase in task efficiency and enhanced safety in simulated industrial environments.
Optimal Control, Robust Control, Nonlinear Control, Adaptive Control, Decentralized Control, Predictive Control, Linear Control Systems, Digital Control.
Robot Dynamics, Robot Kinematics, Human-Robot Interaction, Mobile Robotics, Robot Vision.
Reinforcement Learning, Neural Networks, Deep Learning, Fuzzy Logic, Evolutionary Algorithms, Pattern Recognition.
MATLAB, Simulink, Python, C++, ROS (Robot Operating System), LabVIEW.
Mathematical Modeling, System Identification, Data Analysis, Experimental Design, Academic Writing, Grant Proposal Writing.
Curriculum Development, Lecturing, Graduate Student Supervision, Course Design, Academic Advising.
Intelligent Control Systems, Robotics and Automation, Machine Learning Applications, Human-Robot Interaction, Decentralized Control, Adaptive Systems.
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Summary
Investigated and developed deep reinforcement learning algorithms for precise and agile control of robotic manipulators, focusing on tasks requiring complex motion planning and interaction with dynamic environments.