20102020
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Personal profile

Academic Biography

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.

 

Education/Academic qualification

Bachelor, University of Dhaka

Master, University of Dhaka

PhD, University of Sheffield

Fingerprint Dive into the research topics where Alamgir Hossain is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Decision support systems Engineering & Materials Science
Image processing Engineering & Materials Science
Skin Engineering & Materials Science
Decision trees Engineering & Materials Science
Learning algorithms Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2010 2020

  • 16 Article
  • 6 Conference contribution
  • 1 Conference article
  • 1 Review article
81 Downloads (Pure)

Advances in automated tongue diagnosis techniques

Hoque Tania, M., Lwin, K. & Hossain, A., 1 Mar 2019, In : Integrative Medicine Research. 8, 1, p. 42-56

Research output: Contribution to journalArticle

Open Access
File
Tongue
Point-of-Care Systems
Chinese Traditional Medicine
Health
Primary Health Care
19 Downloads (Pure)

An Intelligent Computer-Aided Scheme for Classifying Multiple Skin Lesions

Hameed, N., Hameed, F., Shabut, A., Khan, S., Cirstea, S. & Hossain, A., 28 Aug 2019, In : Computers. 8, 3, 12 p.

Research output: Contribution to journalArticle

Open Access
File
Skin
Computer aided diagnosis
Support vector machines
Learning systems
Feature extraction

Clustering and Classification of a Qualitative Colorimetric Test

Hoque Tania, M., Lwin, K. T., Shabut, A. M. & Hossain, A., 7 Mar 2019, Proceedings - 2018 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2018. Excell, P. S., Ali, M., Jones, A., Soomro, S. & Miraz, M. H. (eds.). Institute of Electrical and Electronics Engineers Inc., 5 p. 8658480. (Proceedings - 2018 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning systems
Allergens
Color
Multilayer neural networks
Backpropagation
Reinforcement learning
Multiobjective optimization
Learning algorithms
Water quality
Testbeds

Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays

Tania, M. H., Lwin, K. T., Shabut, A. M., Najlah, M., Chin, J. & Hossain, M. A., 31 Jul 2019, In : Expert Systems with Applications. 139, p. 112843

Research output: Contribution to journalArticle

Learning systems
Assays
Image processing
Support vector machines
Image classification