I was born in Sabzevar, Iran. I earned my B.Sc. in Applied Mathematics from Hakim Sabzevari University in 2006, followed by an M.Sc. in Mechatronics from Semnan University in 2009. I recently completed my Ph.D. in Control Engineering (November 2024) at the University of Cyprus, conducting research at the KIOS Research and Innovation Center of Excellence on the ERC-funded Water-Futures project in collaboration with Imperial College London. I have prior experience as a Lecturer at Hakim Sabzevari University and currently hold a position as an Associate Researcher at KIOS CoE.

My research focuses on intelligent control, fault diagnosis and accommodation, and neural networks. My work addresses challenges in designing robust, adaptive control systems for interconnected systems with uncertainties and faults. I also investigate machine learning techniques to enhance control performance, emphasizing computational intelligence and fault-tolerant systems. I am a Reviewer for several esteemed journals, including the IEEE Transactions on Systems, Man and Cybernetics Systems, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, among others.

• Research Interest: Intelligent Control, Fault-Tolerant Control, Neural Networks, Machine Learning, Computational Intelligence, Model Reduction, Optimal Control, and Control of Dynamical Systems.
• Control Engineering: Linear and Nonlinear control, Intelligent control, Neural network control, Adaptive and Robust control, Fault Diagnosis and Accommodation, Partial Differential Equations, Chaos Synchronization, Convex Optimization,
• Machine Learning: Reinforcement Learning, Gaussian Process Regression, Neural Network.
• Languages: MATLAB, Python, C/C++, LaTeX, HTML/CSS/JS
• Software/Hardware: Simulink, Git, SCADA, Allen-Bradley Programmable Logic Controller (PLC), LabView.

Outside of research, I enjoy walking, watching movies, music and traveling.

I am seeking opportunities to contribute to cutting-edge projects that integrate my expertise in Control Systems, Automation, Machine Learning, and Applied Mathematics. I am eager to leverage my strong mathematical foundation to address complex challenges in system dynamics, optimization, and model-based control, while continuing to grow professionally in a collaborative research environment.

I aim to develop innovative algorithms and methodologies for addressing complex challenges in control engineering, with applications across control systems, vehicle dynamics, robotics, and optimization.

My research focuses on intelligent and resilient control solutions for autonomous and robotic systems, particularly emphasizing Safe Reinforcement Learning, Risk-Aware Control, Distributed Control, and Advanced Planning. I also specialize in the identification, estimation, and optimization techniques essential for achieving reliability and autonomy in dynamic environments.

For more details, see my publications.