IBRAHIM ALJARAH is a Highly Cited Researcher (Clarivate, 2021) / Big Data Scientist and AI Technical Consultant (European Union and UNESCO) and Professor of BIG Data Mining and Computational Intelligence at the University of Jordan. Furthermore, ALJARAH is currently the Head of Department of Artificial Intelligence at the University of Jordan, Jordan (First appointed Head). He obtained his PhD in computer science from the North Dakota State University, USA, in 2014. He also obtained his master’s degree in computer science and information systems from the Jordan University of Science and Technology - Jordan in 2006. He obtained the bachelor’s degree in computer science from Yarmouk University - Jordan, 2003. In 2017, He has co-founded The Evolutionary and Machine Learning (Evo-ML.com) Research group which counts 7 PhD and master students from the University of Jordan and collaborates with many well-regarded and ambitious scholars from different countries across the world.
In 2021, Aljarah has been selected among the Highly Cited Researchers in the world by Clarivate for his exceptional research influence, demonstrated by the production of multiple highly cited papers that rank in the top 1% by citations for field and year in the Web of Science. He won UJ Distinguished Researcher Award in 2022 and won Ali Mango Award for Distinguished Researcher in 2020. In 2019, 2020, and 2021, he was recognized as one of the top researchers publishing in Scopus journals in the University of Jordan with 110+ publications in refereed international conferences and prestigious Q1 and Q2 ISI journals with high impact factor with over 11,400 citations and an H-index of 48. In addition, he has ranked amongst the top 2% scientists in the world and the one of top ten scientists in Jordan in Artificial Intelligence and Image Processing field, as per Stanford University Global Ranking 2020.
He participated in many conferences in the field of data mining, machine learning, and big data such as CEC, GECCO, EVOStar, ECTA, CSIT, IEEE NABIC, CASON, and BIGDATA Congress. Furthermore, he contributed in many projects in USA such as Vehicle Class Detection System (VCDS), Pavement Analysis Via Vehicle Electronic Telemetry (PAVVET), and Farm Cloud Storage System (CSS) projects. His research focuses on data mining, Machine Learning, Cybersecurity, Information security, Big Data, MapReduce, Hadoop, Swarm intelligence, Evolutionary Computation, Social Network Analysis (SNA), and largescale distributed algorithms.