Tarik A. Rashid, PhD, PFHEA-UK
Professor in Computer Science/Artificial Intelligence - Director of the Centre for Artificial Intelligence and Innovation
Introduction
Dr. Tarik Ahmed Rashid is a Principal Fellow for the Higher Education Authority (PFHEA-UK) and a professor in the Department of Computer Science and Engineering at the University of Kurdistan Hewlêr (UKH), Iraq. He pursued his Post-Doctoral Fellowship at the Computer Science and Informatics School, College of Engineering, Mathematical and Physical Sciences, University College Dublin (UCD), Ireland. His areas of research cover the fields of Artificial Intelligence, Nature Inspired Algorithms, Swarm Intelligence, Computational Intelligence, Machine Learning, and Data Mining. He is a member of (IEEE, Machine Intelligence Research Labs). He has journal editorial experience as an editor/board member and acted as a Keynote conference speaker in several conferences, conference chairing, conference program committee member, etc. He has authored and edited (overall 140 webs of Science and 160 Scopus publication documents, including books and book chapters in CRC, Springer, Elsevier, and IET). Tarik Ahmed Rashid is on the prestigious Stanford University list of the World’s Top 2% of Scientists for the years 2021, 2022, and 2023 The ranking has been performed with the condition of 44 criteria. Tarik is also on the list of top 10 researchers in the Al-Ayen Iraqi Researchers Ranking (2022). AIR-Ranking 2022 is a national ranking organized by Al-Ayen University. The ranking has been performed with the condition of 24 criteria. It is worth mentioning that our team has designed several single and multi-objective optimization algorithms such as FDO, CDDO, DSO, ANA, FOX, LPB, ECA*, and iECA*.
Education
- - Ph.D. in Computer Science and Informatics, College of Engineering, Mathematical and Physical Sciences, University College Dublin (UCD), Ireland, 2006.
- - Pg. Dip. in computing, Griffith College Dublin (GCD), Ireland, 2001
- - BSc in Mech. Eng., Mosul, Iraq, 1990.
Research
Academic staff research summary. Over 197 webs of science and 160 Scopus publication documents
Professional Membership
- Machine Intelligence Research Labs
- Natural Computational Intelligence Research Center
- Global Burden of Disease (GBD)
- Association for Computing Machinery