Control Theory

Control and Estimation Designs Using Model-Based and Model-Free Approaches for Water Quality Monitoring in Process Systems

Fahad Aljehani, Ph.D. Student, Electrical and Computer Engineering

Apr 30, 10:00 - 12:00

B1 L4 R4214

machine learning algorithm optimal control Control Theory Reinforcement Learning

This dissertation develops and evaluates advanced control and estimation strategies to address complex dynamics and measurement limitations in water-related applications, specifically optimizing fish growth in aquaculture and estimating bacterial concentration in wastewater treatment plants.

Fahad Aljehani

Ph.D. Student, Electrical and Computer Engineering

Control Theory optimal control Reinforcement Learning machine learning algorithm

Designing advanced control algorithms and estimation techniques to optimize water quality systems, specifically aquaculture and wastewater treatment, blending control theory with cutting-edge AI and machine learning to enhance performance, sustainability, and cost-efficiency.

Yi-Hsuan Chen

M.S. Student, Mechanical Engineering

Control Theory Autonomous system Flight Dynamics

Education 2020.08 - 2022.04 M.S. Student in Mechanical Engineering, KAUST, KSA " Control design and analysis for reduced-gravity atmospheric flights." 2015.09 - 2019.06 B.S. in Aeronautics and Astronautics, National Cheng Kung University, Taiwan Professional Profile 2019.09 - 2020.06 Teaching Assistant, Department of Aeronautics and Astronautics, National Cheng Kung University, Taiwan Honors and Awards 2019.06 Honorary Member of Phi Tau Phi Scholastic Honor Society 2018.05 Professor Li Ke-Rang Scholarship Selected Publications Lien, Y.-H.; Peng, C.-C.; Chen, Y.-H. "Adaptive Observer-Based

Ryan Maxwell

M.S. Student, Electrical and Computer Engineering

robotics automation Control Theory MATLAB

Mohammad Aljohany

Ph.D. Student, Electrical and Computer Engineering

Control Theory intelligent systems automation Reinforcement Learning

Education 2021 - Present Ph.D. Student in Electrical and Computer Engineering, King Abdullah University of Science and Technology, KSA M.S. in Electrical and Computer Engineering , KAUST, KSA B.S. in Instrumentation and Control Engineering, Yanbu Industrial College, KSA Areas of Expertise and Research Interests Control Theory Intelligent Systems Automation Reinforcement Learning

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

Fatema Alhani

M.S. Student, Electrical and Computer Engineering

control systems robotics Control Theory

Education 2020.08 - Present M.S. D. Student in Electrical Engineering, King Abdullah University of Science and Technology, KSA 2016.07 - 2020.05 B.S. in Electrical and Computer Engineering, North Carolina State University, USA

Ania Adil

Postdoctoral Research Fellow, Electrical and Computer Engineering

Estimation Control Theory

Ania Adil is a Postdoctoral fellow at the KAUST Robotics, Intelligent Systems, and Control Lab (KAUST RISC Lab) at King Abdullah University of Science and Technology (KAUST) under the supervision of Professor Eric Feron.