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Faizan Ahmad is a Lecturer in Computer Science at Cardiff School of Technologies, Cardiff Metropolitan University. Prior to joining Cardiff Met, Dr. Faizan worked as a Tenure-Track Assistant Professor/Founding Director of the Research Centre for Human-Computer Interaction (2018-2022) and Research Associate (2010-2011) in a well-reputed university of Pakistan where they were responsible for curriculum design, teaching, research, supervisory, moderation, and consultancy in human-computer interaction domain. Dr. Faizan received their Ph.D. in Computer Science and Technology from the Institute of Computing Technology, Chinese Academy of Sciences in 2017, and their M.Eng. (Distinction) in Computer Applied Technology from the School of Computer Science and Engineering, Beihang University in 2013. With a broad teaching background in computer science to diverse audiences (e.g., face-to-face, online, and apprenticeship), Dr. Faizan Ahmad have successfully planned, developed, and led modules in the domains of Human-Computer Interaction (HCI), Artificial Intelligence (AI), Games, Web, and Mobile Application Development. Dr. Faizan’s technical expertise spans from foundational subjects such as Programming Fundamentals to advanced topics like Usability and Interaction Design. Dr. Faizan Ahmad’s research focuses on advancing Human-Centered Artificial Intelligence and AI-driven personalised learning within the context of Smart Learning Environments, Immersive Education Technologies, and Industry 5.0. Dr. Faizan is particularly interested in designing emotionally adaptive, cognitively engaging systems that integrate Human-Computer Interaction (HCI), Gamification, and Multimodal Learning Analytics. A core strand of their work explores the use of emerging technologies such as Digital Twins and the Metaverse to create scalable, inclusive, and personalised educational experiences. Through this interdisciplinary lens, they aim to develop intelligent learning systems that respond to learners’ behavioural, emotional, and performance data in real time, enhancing both learner engagement and pedagogical impact. Jay Kumar Pandey is currently working as an Assistant Professor in the Department of Electrical & Electronics Engineering at Shri Ramswaroop Memorial University, Barabanki (U.P.) India. Dr. Pandey has completed his Ph.D. and has done his M.Tech. with specialization in Power Control (Instrumentation) and also done his MBA from Finance and Marketing. His subjects of interest are related to Artificial Intelligence, Biomedical & Healthcare, Image Processing, Machine Learning and Renewable energy. He has 15 years of teaching and research experience has published more than 30 research papers in National and International journals /conferences & Book Chapters in CRC, NOVA, Taylor & Francis, Springer and IGI Publisher. Dr. Pandey is an editor of books (edited) published by reputed publishers Apple Academy Press, IGI, Elsevier, Wiley-IEEE, NOVA, Bentham Science, IAP, Emerald Publication, Taylor & Francis & Cambridge Scholar .Dr. Pandey is also Editor of Journal of Technology Innovations and Energy United States. Dr. Pandey having reviewer in different conference/Journal/Book Chapters like (The Journal of Supercomputing in Springer Nature, IGI publishing, Journal of Security and Communication Networks Hindawi, Journal of Biomimetics, Biomaterials and Biomedical Engineering (JBBBE) Scientific Net, Switzerland, Advanced Engineering Forum (AEF) Scientific Net, Switzerland) Momina Shaheen , Fellow, Higher Education Academy (UK), is Lecturer in Computing, in University of Roehampton, London, United Kingdom. She has 364 citations, an h-index of 9, and an i10-index of 8. Her most recent publications cover topics like disaster identification using federated learning algorithms, and AI applications in healthcare and smart cities.. She earned her master’s in software engineering from Bahria University Islamabad Campus in 2016. She has more than 6 years of experience in research and academia. She has supervised and initiated a number of projects in her career. She has lead different project in the area of Machine Learning, Data Science, Artificial Intelligence, Internet of things, Cognitive Sciences and Distributed Systems.

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