Abdel-Karim Al-Tamimi

Dr. Abdel-Karim Al-Tamimi is a Senior Lecturer of Computer Science and Software Engineering at Sheffield Hallam University. He is a certified expert in Digital Teaching and Learning. He is a Senior Fellow of the Higher Education Academy (SFHEA). He is the lead of the Interactive Data Analytics Group (iDAG). He is a member of the Applied Software Engineering Research Group (ASERG). He is supporting the digital transformation in Sheffield as a consultant through the Digital Innovation for Growth (DIfG) program.

Dr. Al-Tamimi served as an associate professor of computer engineering at Yarmouk University, Jordan. He was appointed as the director of the entrepreneurship and innovation center (EIC). He worked in Colleges of Higher Technology and served as a program team leader (Department Chair) of the Computer Information Science (CIS) department, and a member of the academic program committee. He served as a technical member of the United Nations Economic and Social Commission for West Asia (ESCWA) committee. He also served as a visiting professor at Technische Universitat Berlin, Germany.

Dr. Al-Tamimi has extensive consultancy experience as a data science consultant, penetration testing consultant, and professional training consultant. Dr. Al-Tamimi has extensive experience in developing software solutions using various technologies. He is a certified Huawei HCIA-AI expert, IBM Blockchain Developer, IBM Application Security Engineer, and Cisco Certified Network Associate (CCNA).

Dr. Al-Tamimi is serving as an Editorial Board member of PLOS ONE journal, and Research Reports on Computer Science. He is a receiver of many EU funding grants including H2020, TEMPUS IV, DFG, EPIC-Erasmus, Erasmus AVEMPACE III, and HOPES. He served as the technical committee member of many renowned journals and conferences including IEEE Communication Letters, IEEE Transactions on Multimedia, IEEE Access, and BigComp. He also served as a panelist in multiple conferences as an IoT specialist and entrepreneur advocate.

His current research focus is on applying machine learning techniques to interdisciplinary research challenges. He worked on projects in the areas of Natural Language Processing (NLP), Multimedia Networks, Computer Security, and the Internet of Things (IoT).