machine learning algorithm

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.