Artificial Intelligence in Healthcare / Brain Informatics and Health (PDF)

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 GBP3.3 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 200 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; Trends in Electronics and Health Informatics 2022; chair of the IEEE CICARE symposium since 2017 and was the local organising chair of the IEEE WCCI 2020. He will serve as one of the General Chairs of the 31st edition of the ICONIP conference to be held in Auckland (NZ) in 2024. 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, the Secretary of the IEEE UK and Ireland CIS Chapter, and the Social Media and Communication Officer of the British Computer Society's Nottingham and Derby Chapter.
Dr. Arjab Singh Khuman received his PH.D. degree in Computer Science from De Montfort University (DMU), United Kingdom, in 2017. An award winning academic, he is currently a Senior Lecturer at DMU within the Institute of Artificial Intelligence (IAI), where he leads on various initiatives involving pedological enhancements and research directives. Dr. Khuman's research interests involve artificial Intelligence with a focus on uncertainty modelling and machine learning, utilizing soft computing techniques and paradigms to allow for higher-dimensional inferencing, to facilitate more precise forecasting & predicting. With a publication record that exemplifies excellence, a proven track record of top-tier journals & conference proceedings; books & chapters; international engagement; Dr. Khuman's work continues to be internationally recognised and of high merit.