Salwani Abdullah

Salwani Abdullah received the B.Sc. degree in computer science from the University of Technology Malaysia, the master’s degree in computer science from the National University of Malaysia, and the Ph.D. degree in computer science from the University of Nottingham, U.K. She is currently a Professor of computational optimization with the Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia. Her research interests include artificial intelligence and operation research, particularly computational optimization algorithms (heuristics and meta-heuristics, evolutionary algorithms, and local search techniques. Her work addresses various real-world applications, dealing with single and multi-objective continuous and combinatorial optimization challenges, such as timetabling, scheduling, routing, nurse rostering, dynamic optimization, data mining problems (including feature selection, clustering, classification, and time-series prediction), intrusion detection, and search-based software testing.