Alamgir is currently serving as a Professor of Artificial Intelligence (School of Computing, Media & the Arts) and also Head of Digital Research and Innovation (National Horizon Centre), Teesside University, UK. Prior to this he also served in the Anglia Ruskin University at Cambridge (as a Director of IT Research Institute), University of Northumbria at Newcastle (as a head of Computational Intelligence Group), University of Bradford, University of Sheffield, Sheffield Hallam University and the University of Dhaka (as a head of the Department of Computer Science and Engineering). He has extensive research experience in computational intelligence, medical image processing, digital diagnosis, bioinformatics, cyber security, intelligent decision support systems and mobile enabled expert system. Professor Hossain has led many large EU & UKRI funded projects as an International lead investigator, worth over 16 million pound. With a publication in Nature, he has published over 300 refereed research articles, contributed in 12 books, received the "F C Williams 1996" award for an IET journal (UK), Lifetime achievement award (Channel S, London) and 'Best Paper Awards' for five conference articles. He also had 17 successful PhD completions under his direct supervision. For further details of his publications & citations, please explore his Google Scholar account

Key research & Innovation Areas:

Alamgir and his team members are interested on collaborative applied research focuses on algorithm design, particularly using hybrid AI algorithms  (including traditional machine learning, deep learning, reinforcement learning, adaptive learning, optimisation, fusion, natural language processing& ontology) to address the challenges around:

• Medical informatics, medical image processing, self-health diagnosis & management, bioinformatics, optimal cancer treatment modelling, automatic personalised lifestyle programme generation for prevention or post-treatment patients (linked with obesity, heard diseases, diabetes) etc.

• Other areas associated with medical as well as other domains: Big data, cyber security, game & gamification, mobile & IoT enabled expert systems, personal cyber assistant, engineering/business process optimisation etc.

• Overall target but not limited to: investigation into the development of ‘Intelligent Decision Support Systems’ for any domain.