Rate My Professor Ed Keedwell

Keedwell's research focuses on evolutionary algorithms, metaheuristics, hyper-heuristics, and artificial intelligence techniques, with applications to water resources problems such as flood analysis, water distribution networks, urban pluvial flooding, and leak detection, as well as bioinformatics. He has produced impactful publications, including the book Intelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems (John Wiley & Sons, 2005, co-authored with A. Narayanan); Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions (Environmental Modelling & Software, 2014, with H.R. Maier et al.); A weighted cellular automata 2D inundation model for rapid flood analysis (Environmental Modelling & Software, 2016, with M. Guidolin et al.); Formulation of a fast 2D urban pluvial flood model using a cellular automata approach (Journal of Hydroinformatics, 2013, with B. Ghimire et al.); Battle of the Water Networks II (Journal of Water Resources Planning and Management, 2014, with A. Marchi et al.); A hybrid genetic algorithm for the design of water distribution networks (Engineering Applications of Artificial Intelligence, 2005, with S.T. Khu); Deductive sort and climbing sort: New methods for non-dominated sorting (Evolutionary Computation, 2012, with K. McClymont); and Literature review of data analytics for leak detection in water distribution networks: A focus on pressure and flow smart sensors (Journal of Water Resources Planning and Management, 2022, with X. Wan et al.). His contributions include developments like the CADDIES framework for rapid flood simulation using cellular automata. Keedwell serves as a theme lead for Trustworthy AI in the Institute for Data Science and Artificial Intelligence and collaborates with the Centre for Water Systems, influencing advancements in computational intelligence for environmental engineering challenges.