School of Computer Science and Mathematics, Faculty of Engineering and Technology
Dr. Wasiq KHAN is an expert in Artificial Intelligence and Data Sciences within the Department of Computer Science at Liverpool John Moores University, UK. He is a Senior Member of IEEE and has served as a Visiting Professor of Artificial Intelligence at several international universities. Dr. Khan obtained his B.Sc. in Mathematics, Physics, and Geography, followed by an M.Sc. in Computer Science from Pakistan. He furthered his education at Bradford University, UK, where he earned an M.Sc. in Artificial Intelligence, a Ph.D. in Speech Analysis and Intelligent Reasoning, and a Post Graduate Certificate in Higher Education Practice (PgCHEP). Additionally, he holds an ILM Certificate in Leadership and Management from LJMU.
Dr Khan has been Technological Lead, Senior Research Scientist, and Consultant on several Large-scale research projects (e.g., deception detection in iBorderCtrl: https://www.iborderctrl.eu/) in collaborations with academic institutions and industry partners worldwide. His research expertise lies in Artificial Intelligence (including Deep/Machine Learning and Pattern Recognition). Currently, Wasiq is leading on several ongoing research projects mostly covering Applied AI particularly, Law Enforcement & Public Safety (e.g., suspect identification, deep behaviour analysis), Deep facial analysis (e.g., deception detection, facial encoding), and Healthcare technologies (e.g., Huntington disease, Alzheimer disease, Autism pattern analysis).
Dr. Khan has published over 100 research outcomes in prestigious journals such as NATURE Scientific Data, NATURE Scientific Reports, IEEE/ACM Transactions, ACM Computing Surveys, and Pattern Recognition (Elsevier), as well as at international conferences. He actively engages with the public and raises impact through news blogs and media, scientific festivals and showcases, and public demonstrations.
He serves as an Associate Editor for a number of prestigious Journals, including NATURE (Scientific Data), Frontiers, Springer, and IEEE. He is also a member of organizing committees for multiple international conferences. He reviews research grant applications for UK funding councils, including UKRI/EPSRC, STFC, Innovate UK, and NIHR.
In addition to his research activities, Dr. Khan is fully involved in teaching, administrative roles, and Ph.D. supervisions. He has established academic citizenship within his research domain, supported by his Fellowship of the Higher Education Academy (FHEA) and his status as a Senior Member of IEEE (SMIEEE).
Innovation in Healthcare |
Day 2: April 17, 2025 : 11:30:00 - 12:15:00 |
Abstract:
Session Title: “AI and Robotics in Healthcare: Opportunities for Iraq” Focus: Leveraging AI for diagnostics, telemedicine, and healthcare access in remote areas.
Main Hall
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Trustworthy AI and Expanding Role of AI and IOT systems |
Day 1 : 11:30:00 - 12:00:00 |
Abstract:
Session Title: “Trustworthy AI- Challenges, Generative Intelligence, and the Future of Ethical and Secure Innovation” Focus: AI, IOT and the Future of Innovation. Exploring how AI can improve public services and urban planning.
University of Almaarif
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