optimal control

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.

Salman Sarfaraz Ghori

Ph.D. Student, Electrical and Computer Engineering

Space Robotics optimal control embedded systems Mobile Agents Urban Air Management Agent Management

Education 2021.10 - Present Ph.D. Student in Electrical and Computer Engg, King Abdullah University of Science and Technology, KSA 2018.09 - 2020.10 M.S in Aerospace Engg, Sapienza University of Rome, Italy 2009.05 - 2013.05 B.Tech in Electronics and Communication Engg, Jawaharlal Nehru Technological University HYD, India Professional Profile 2018.01 - 2018.09 Senior Engineer, ZF India Technology Center, India 2017.02 - 2018.01 Embedded Software Engineer, Global Edge, India 2014.09 - 2017.01 System Engineer, Tata Consultancy Services, India Areas of Expertise and Research Interests Space