Kazi Nabiul Alam is a Machine Learning Engineer and current Ph.D. Student at Leeds Beckett University, specializing in various fields of Artificial Intelligence, Computer Vision, Medical Imaging, and Sustainable AI. He received his B.Sc.(First-Class) in Computer Science and Engineering from North South University in 2021, and M.Sc.(Distinction) in Artificial Intelligence from Queen Mary University of London in 2023. Kazi's Ph.D. research works involve iunderstanding the HSI properties and applying them to develop task-specific SOTAs with multiple datasets. Previously,  he worked in deep learning techniques for medical diagnostics and sentiment analysis. Kazi developed a lightweight SOTA model for melanoma detection, X-ray-based COVID-19 diagnosis, and vaccination sentiment analysis, achieving high scores and deployable AI architectures, being featured in different academic journals and conferences.

Dr. Pooneh Bagheri Zadeh is Course Director in Computer Science at Leeds Beckett University. Her current research covers Image/Video Processing, Computer Vision in AI drones, Intelligent Systems, Digital Forensics/Security, Image/Video Forensics, Mobile Forensics, Video Analytics, Super-Resolution, and Hyper-Spectral Imaging. Pooneh received her MSc and PhD degrees from Glasgow Caledonian University in Computer Science (2004) and Computer Vision (2008), respectively. She continued her career in industry, working on real-time embedded video analytics systems. She then moved to De Montfort University and worked as a senior research fellow on an EPSRC project in stereo vision and 3D reconstruction. She then joined Staffordshire University as a lecturer in computer forensics and security, and later as a senior lecturer at Gloucestershire University. She then joined De Montfort University as a Course Leader for MSc Forensic Computing for Practitioners. Pooneh has published more than 50 international conference and journal papers. She has successfully graduated two PhD students and is currently supervising four PhD students. She also examined eight PhD and MPhil students from different universities in the UK.

Dr Akbar Sheikh Akbari joined LBU in 2015. His research interests include Biometric Identification Techniques, Hyperspectral Image Processing, Colour Balancing, Image Source Camera Identification, Image Super-Resolution, Image/Video Codecs, Multiview Image/Video Processing, Assisted-Living Technologies, Deep Learning, and Artificial Intelligence. Dr Sheikh Akbari holds a BSc (Hons), an MSc (Distinction), and a PhD in Electronic and Electrical Engineering. After completing his PhD at the University of Strathclyde, he made significant contributions to an EPSRC project focused on stereo/multi-view video processing at the University of Bristol. His diverse career includes work in the industry, particularly in the field of real-time embedded video analytics systems. Notably, he has successfully supervised twelve PhD and two MRes students, and his research output comprises over 100 peer-reviewed international journal and conference papers.