معرفی
Dr. Ahmed Rehan is a Postdoctoral Researcher in the Electrical Engineering Department at Khalifa University of Science and Technology, specializing in control theory with applications in industrial and robotics systems. He holds a Ph.D. in Robotics Engineering and has teaching experience in FPGA, Digital Logic, and Control Systems labs. Additionally, he has professional expertise in intellectual property management, focusing on patentability assessments and innovation commercialization.
Education:
- Ph.D. in Robotics Engineering, Khalifa University of Science and Technology, UAE
- MSc in Systems and Control Engineering, King Fahd University of Petroleum & Minerals, KSA
- BE in Electrical Engineering, National University of Sciences and Technology, Pakistan
Research Interests: Ahmed Rehan's work centers on Control Theory with specific expertise in Sliding Mode Control, Relay control systems, and Autotuning methodologies. He integrates Reinforcement Learning for adaptive control solutions while maintaining a parallel focus on Intellectual Property strategy for engineering innovations. His research bridges theoretical control frameworks with practical implementations in robotics and industrial automation.
Current Research Projects:
- Reinforcement Learning for UAV Control Tuning: Developing auto-tuning frameworks using reinforcement learning algorithms for unmanned aerial vehicle systems.
- Autotuning Methods for Marine Robotics: Creating control tuning algorithms for marine robotics platforms including BlueROV2 with ROS integration.
- Analysis of Sliding Mode Control Systems: Applying LPRS and DFA techniques to analyze chattering phenomena in sliding mode control implementations.
Labs and Centers: Affiliated with the KU Center for Autonomous Robotic Systems, contributing to advanced robotics research initiatives.
Advising and Grants: While no student advising roles or specific grant awards are documented in the provided materials, Dr. Rehan's active project portfolio demonstrates substantial research engagement in control systems engineering with practical industry applications.
