Prof Hujun Yin
Department of Electrical & Electronic Engineering

University of Manchester
Oxford Rd, Manchester, M13 9PL, UK.

Tel: +44 (0) 161 306 8714

Email: hujun.yin@manchester.ac.uk
URL: https://www.research.manchester.ac.uk/portal/hujun.yin.html

Prof Hujun Yin is a Professor of Artificial Intelligence at the University of Manchester. He is also the Head of Business Engagement in AI and Data for the Faculty of Science and Engineering.

His research areas include AI, machine learning, deep learning, signal/image processing, pattern recognition, time series modelling, bio-/neuro-informatics, and interdisciplinary applications. He has supervised over twenty PhD students and published over 200 peer-reviewed articles.

Prof Yin has received over £4 million research funding from UK research councils, EPSRC, BBSRC, Innovate UK and industries across 25 funded projects. Many of his projects involve local industries and SMEs in developing cutting edge AI solutions.

He has served or has been serving as an Associate Editor for the IEEE Transactions on Neural Networks, the IEEE Transactions on Cybernetics, and the International Journal of Neural Systems. He has also served as the General Chair or Programme Chair for a number of international conferences in AI, machine learning and data analytics. He is a member of the EPSRC Peer Review College (since 2006), a senior member of the IEEE (since 2003) and a Turing Fellow to the Alan Turing Institute (since 2018). He currently serves as the Chair of the IEEE CIS UK and Ireland Chapter.

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Dr Quang Truong Dinh
Energy Applications Group

University of Warwick
Gibbet Hill Rd, Coventry, CV4 7AL, UK.

Tel: +44 (0) 24 7657 4902

Email: t.dinh@warwick.ac.uk
URL: https://warwick.ac.uk/fac/sci/wmg/people/profile/?wmgid=1212

Dr Truong Dinh is an Associate Professor of Energy Management and Control Systems within Energy Applications Group in WMG, the University of Warwick. He is an Alan Turning Fellow, an HEA Fellow, an IEEE senior member.

He has published 75 high quality journal papers, 4 patents, 03 books and chapters, and over 100 conference papers in areas of mechatronics, automation and control, and transportation applications. He has delivered more than 20 keynote and invited talks at renowned conferences and industrial events. He has received 13 journal and conference paper awards. He has generated a research funding portfolio of circa £14m across projects in fields of mechatronics, heavy industries, transportation and energy, for the current and previous departments.

He is technical committee member of the IEEE IES – Motion and Control Section; Vice Chair and Webmaster of IEEE CIS UK and Ireland Chapter; editorial members of several international journals of IEEE Trans. He is the general co-chair and publication co-chair of the IEEE IES International Conference on Mechatronic Technology in 2019, 2021 and 2022. He is a frequent reviewer for over 20 high quality journals.

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Dr Mufti Mahmud
Cognitive Computing

Nottingham Trent University
50 Shakespeare St, Nottingham NG1 4FQ, UK.

Tel: +44 (0) 115 848 3202

Email: mufti.mahmud@ntu.ac.uk
URL: https://www.ntu.ac.uk/staff-profiles/science-technology/mufti-mahmud

Dr Mufti Mahmud is an Associate Professor of Cognitive Computing at the Computer Science Department of Nottingham Trent University (NTU), UK. He has been listed among the Top 2% Scientists in the world and was the recipient of the NTU VC outstanding research award 2021 and Marie-Curie postdoctoral fellowship.

Dr Mahmud is the coordinator of the Computer Science and Informatics research excellence framework unit of assessment at NTU and the deputy group leader of the Cognitive Computing & Brain Informatics and the Interactive Systems research groups. His research portfolio consists of £3.3 million grant capture with expertise that includes brain informatics, computational intelligence, applied data analysis, and big data technologies focusing on healthcare applications.

He has over 15 years of academic experience and over 190 peer-reviewed publications. Dr Mahmud is the General Chair of the Brain Informatics conference 2020, 2021, and 2022; Applied Intelligence and Informatics conference 2021 and 2022; chair of the IEEE CICARE symposium since 2017 and was the local organising chair of the IEEE WCCI 2020. He is the Section Editor of the Cognitive Computation, the Regional Editor (Europe) of the Brain informatics journal and an Associate Editor of the Frontiers in Neuroscience. During the year 2021-2022, Dr Mahmud has been serving as the Vice-Chair of the Intelligent System Application and Brain Informatics Technical Committees of the IEEE Computational Intelligence Society (CIS), a member of the IEEE CIS Task Force on Intelligence Systems for Health, an advisor of the IEEE R8 Humanitarian Activities Subcommittee, the Publications Chair of the IEEE UK and Ireland Industry Applications Chapter, and the Project Liaison Officer of the IEEE UK and Ireland SIGHT Committee, and the Secretary and Treasurer of the IEEE UK and Ireland CIS Chapter.

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Mark Moloney
IBM

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Prof Damien Coyle
Intelligent Systems Research Centre

Ulster University, Magee Campus
Derry, N. Ireland, BT48 7JL, UK.

Tel: +44 (0)28 7167 5170

Email: dh.coyle@ulster.ac.uk
URL: https://pure.ulster.ac.uk/en/persons/damien-coyle

Prof Damien Coyle is a Professor of Neurotechnology, Director of the Intelligent Systems Research Centre at Ulster University Magee Campus and a UKRI Turing AI Acceleration Fellow 2021-25. His research focuses on developing AI to address challenges associated with translating electrophysiological signals into control signals for brain-computer interface (BCI) based neurotechnology and trialling these developments on a large scale with patients and end-users.

He has published over 150 research papers in areas such as computational intelligence/AI, bio-signal processing, computational neuroscience, neuroimaging, neurotechnology and brain-computer interface (BCI) applications and has won a number of prestigious international awards including the 2008 IEEE Computational Intelligence Society (CIS) Outstanding Doctoral Dissertation Award, the 2011 International Neural Network Society (INNS) Young Investigator of the Year Award and the IET and E&T Innovation of the Year Award 2018. 

He was an Ulster University Distinguished Research Fellow in 2011, a Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellow in 2013, a Royal Academy of Engineering Enterprise Fellow in 2016-2017 and is currently an Ulster Senior Distinguished Research Fellow. He secured over £18m external grant income and manages several industry-led data analytics projects targeting AIops, advanced manufacturing and predictive analytics. He has supervised 22 PhD researchers (11 completed).

He is a founding member of the International Brain-Computer Interface Society, an IEEE Brain Steering Committee member, advisory board member for the UK Neurotechnology Innovation Network, and chairs the IEEE Computational Intelligence Society (CIS) UKIreland chapter. He is Founder and CEO of NeuroCONCISE Ltd, an award-winning, AI-enabled, wearable neurotechnology company.

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