Dr. Mohammed A. Awadallah is an Associate Professor of artificial intelligence, in the department of computer & information sciences, Al-aqsa University, Gaza, Palestine. He was appointed by the management of the university as a pioneer Dean of the faculty of computers and information technology on July 1, 2018. Before his appointment as the Dean of the Faculty, Dr. Awadallah has been the Departmental Chair for the Department of Computer Science of the same University from September 2015 to June 2018. Because of his prolific nature, the management of the Al-aqsa University, made him a Project Coordinator on a project titled “Boosting Innovation in Curricula Development of IT Programs in Palestine (BIT-PAL)” sponsored by Erasmus+ Programme of European Union. This project involves five Palestinian universities, three European universities, and one institution from IT private sector.
The main research interest of Dr. Awadallah is in the area of applied computing where many real-world complex problems such as nurse rostering, timetabling, economic load dispatch etc are being solve using metaheuristic-based optimization methods like harmony search, artificial bee colony, grey wolf optimizer, bat algorithm, krill herd algorithm and so on. He has published a number of high quality papers in international journals and conferences such as IEEE, Elsevier, Springer, Taylor & Francis publishers. Furthermore, he serves as a reviewer and editor to numerous conference and journals of high repute such as applied soft computing, information sciences, soft computing, memetic computing, swarm and evolutionary computation etc.
Dr. Awadallah earned his B. Sc. in computer science from Islamic University-Gaza, and M.S. in Computer Information System (CIS) from The Arab Academy for Banking and Financial sciences, Amman, Jordan. Finally, he obtained his Ph.D. in artificial intelligence from the school of computer sciences, Universiti Sains Malaysia (USM), 11800, Palau Pinang, Malaysia in 2014.
ORCiD ID: 0000-0002-7815-8946
Scopus Author ID: 6603390660
ResearcherID: F-3103-2017