Since 2012 when I graduated in master of mechatronics engineering I've been dealing with kinds of control theory problems in both theoretical and practical perspective. I have five years of work experience in industrial automation area in Iran where I was swamped with some industrial-based control algorithms such as PID and MPC algorithms which were adopted to control some processes including steam turbine, gas turbine, casting machine and etc. I'm interested in complex dynamics and nonlinear control problems in associated with the optimization strategies as my new research area. Over the past years, I've conducted some researches upon the nonlinear control area including robust and adaptive control algorithms and in order to verify their performances, I've been choosing the marine autonomous platforms and floating manipulation mechanisms such as Underwater Vehicle-Manipulator Systems (UVMS) as adopted case studies because in these cases we can consider high uncertainties/coupling and complex disturbances such as wind, waves and ocean currents to appraise the robustness of proposed controllers. At the moment, I've been developing a combined nonlinear control algorithm which it would fulfill robustness, adaptive coefficients, optimal control inputs and embedded implementation concurrently. I’ve found that the integration of the nonlinear control concepts with the soft computing and learning algorithms could meet such a strong controller.
My research interests encompass the followings:

-Robust/Optimal control systems
-Reinforcement Learning
-Approximate Dynamic Programming
-Autonomous and intelligent platforms
-Marine robotics (autonomous ships and underwater vehicles)
-Fluid Dynamics and Hydrodynamics
-Instrumentation and Industrial Automation