adaptive control

Safety Embedded Autonomy: From Barrier States to Intelligent and Differentiable Control

Hassan A. Almubarak, Assistant Professor, Department of Control and Instrumentation Engineering, King Fahd University of Petroleum and Minerals (KFUPM)

Oct 25, 12:00 - 13:00

B9 R2325

autonomous systems Advanced control systems engineering safe autonomy reliability barrier states adaptive control control systems engineering

This talk presents a safety-embedded approach to autonomy that builds safety directly into the control dynamics through Barrier States, then extends it with adaptive and differentiable control so that autonomous systems can stay safe, adapt to changing dynamics, and improve through physical interaction.

Naif Jan

Ph.D. Student, Applied Mathematics and Computational Science

Dynamical Systems robust control adaptive control Multi-agent systems autonomy robotics

Naif's research interests span control theory, autonomous systems, and robotics. He is particularly interested in nonlinear, robust, adaptive, and distributed control, with an emphasis on developing control methods for dynamical systems subject to uncertainty, disturbances, limited information, and interactions among multiple agents. His previous work includes modeling and control of aerial robotic systems, multi-agent coordination, and simulation of autonomous systems.

Experimental Demonstration and Performance Analysis of Free Space Optical Communication with Multiple Lenses

Jongmin Kim, Ph.D., Electrical and Computer Engineering

Sep 20, 15:00 - 16:30

B1 R3123; Zoom Meeting 91224858133

FSO systems optical design adaptive control Free Space Optics

This dissertation studies experimental demonstration and performance analysis of free space optical (FSO) systems with multiple lenses to develop practical design guidelines for reliable, high-capacity, and adaptive multi-lens FSO systems.

Mohammed Alwagait

Ph.D. Student, Electrical and Computer Engineering

UAV adaptive control Reinforcement Learning Aerial Robotics

Mohammed is a PhD Student in the Electrical and Computer Engineering program (ECE) at KAUST. He focuses on Reinforcement Learning Based Energy Saving Path Planning and Control for UAVs.

Samet Guler

Postdoctoral Research Fellow, Electrical and Computer Engineering

robotics adaptive control Multi-agent systems distributed control control localization intelligent systems Control Theory wireless sensor networks

Samet Güler (M’16) received the B.S. degree in electrical and electronics engineering from Eskisehir Osmangazi University, Turkey, in 2010, the M.S. degree in electrical and electronics engineering from Bilkent University, Turkey, in 2012, and the Ph.D. degree in mechanical and mechatronics engineering from University of Waterloo, Waterloo, ON, Canada, in 2015. He worked as a short term Researcher at the University of Waterloo in 2016. He is currently a Postdoctoral Fellow at the Robotics, Intelligent Systems and Control Lab in King Abdullah University of Science and Technology, Kingdom of

Mohamad T. Shahab

Postdoctoral Research Fellow, Electrical and Computer Engineering

adaptive control robotics Control Theory

Education 2020, PhD in Electrical and Computer Engineering, University of Waterloo 2015, MSc in Systems Engineering, KFUPM 2007, BSc in Control & Instrumentation Systems Engineering, KFUPM Professional Profile 2020 - Present, Postdoctoral Fellow, RISC Lab, KAUST 2016 - 2020, Research/Teaching Assistant, University of Waterloo 2012 - 2015, Research Engineer, Baker Hughes 2007 - 2011, Research/Teaching Assistant, KFUPM Selected Publications O. Wali, M.T. Shahab, E. Feron, "A Non-planar Assembly of Modular Tetrahedral-shaped Aerial Robots", 2023 IEEE International Conference on Robotics and