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Dr. Omer Saleem completed his B.S. in Electrical Engineering with a specialization in electronics and communication in 2010. He accomplished his M.S. in Electrical Engineering with a specialization in control systems from UET, Lahore, Pakistan, in 2014. He completed his Ph.D. in Electrical Engineering (with specialization in adaptive control systems) with excellence from UET, Lahore, Pakistan, in 2021. In his Ph.D., he conducted research on the formulation and experimental validation of novel nonlinear-type hierarchically adaptive self-tuning state-feedback control procedures for under-actuated mechatronic systems with the objective to improve the system’s reference-tracking accuracy and robustness against exogenous disturbances while preserving their stability and control-input efficiency. Presently, he is serving as an Assistant Professor at the Department of Electrical Engineering, FAST - National University of Computer and Emerging Sciences (NUCES), Lahore, Pakistan. He instructs theory courses of feedback control systems, power electronics, industrial process control, and electronic circuit design. He has supervised numerous final-year design projects in the field of robotic system control, cyber-physical systems, and IoT-based wireless sensor and control networks. He has also supervised a few M.S. projects in the area of control system design. He has published several research papers in the HEC-recognized and Thomson JCR-indexed international impact-factor journals. His research interests mainly include the design of robust and optimal-adaptive control strategies for nonlinear dynamical systems; such as wheeled self-balancing robots, inverted-pendulum-based systems, DC servomechanisms, and DC-DC power electronics converters.
Recent Research Publications:
Google Scholer Profile: https://scholar.google.com.pk/citations?user=pN8kgaQAAAAJ&hl=en
Fields of Interest:
Rule-Based Online Gain-Adaptation Laws
Nonlinear Self-Tuning Mechanisms
Control of Robotic Mechanisms