Dr. Syed Attique Shah is a Lecturer in Smart Computer Systems at the School of Computing and Digital Technology, Birmingham City University (BCU), UK. He also serves as the Programme Leader for the MSc Advanced Computer Networks at BCU. With over 12 years of experience in teaching and research, he has established a distinguished academic career with expertise in computer science. Prior to joining BCU, he held positions as a Lecturer/Assistant Professor at the Data Systems Group, Institute of Computer Science, University of Tartu, Estonia, and as an Associate Professor and Chairperson of the Department of Computer Science at BUITEMS, Quetta, Pakistan. Dr. Shah completed his Ph.D. at Istanbul Technical University, Turkey, in 2019. During his doctoral studies, he was a Visiting Scholar at several prestigious institutions, including the University of Tokyo, Japan; National Chiao Tung University, Taiwan; and Tallinn University of Technology, Estonia. His international experience spans institutions across Estonia, Turkey, Pakistan, Taiwan, China, and Japan, providing him with valuable insights into diverse academic and professional standards.

Recognised globally for his academic contributions, Dr. Shah was listed among the top 2% of scientists worldwide in 2024 by Stanford University and Elsevier. He holds the status of Chartered IT Professional (CITP) and is a Fellow of the Higher Education Academy (FHEA). Additionally, he is endorsed by the Royal Society UK as a Global Talent and is an approved Ph.D. supervisor by the Higher Education Commission (HEC) of Pakistan. He is also recognised by the Staff and Educational Development Association (SEDA), UK, for his contributions to supporting learning. His professional affiliations include IEEE Senior Member and Professional Member of the British Computer Society.

Dr. Shah has served as a reviewer for funding bodies such as the British Council and Chevening Scholarships and has actively participated in academic panels and conference leadership roles. Currently, he is an External Examiner (2025–2029) for the BSc Artificial Intelligence program at De Montfort University, UK, and for the PGCE Information Communication Technology and Computing Course at Cardiff Metropolitan University, UK.

With extensive teaching experience, Dr. Shah has designed and delivered courses on Computer Networks, Data Science, Machine Learning, the Internet of Things, Artificial Intelligence, Programming Languages, and Software Engineering at both undergraduate and postgraduate levels. He has supervised over 20 postgraduate students and co-supervised 3 Ph.D. candidates to successful completion.

His research focuses on cutting-edge areas such as Machine Learning, Data Science, Software-Defined Networking (SDN), and the Internet of Things (IoT). He has published over 30 Q1 journal papers with a cumulative impact factor exceeding 100, accumulating more than 2,200 citations and an h-index of over 20. His work has been presented at leading international conferences, further demonstrating his research impact.

As Principal Investigator (PI), Dr Shah has secured approximately £50,000 in EPSRC-funded support through the Alan Turing Institute and University of Sheffield-led Digital Twinning NetworkPlus (DTNet+) for the project “AI-Enhanced Digital Twins for Optimising Energy Efficiency in Positive Energy Districts.” The project focuses on integrating real-time data, predictive analytics and deep learning to improve energy management, sustainability and resilience in Positive Energy Districts.

Dr Shah has also secured approximately £50,000 as PI through the EPSRC-supported National Hub for Decarbonised, Adaptable and Resilient Transport Infrastructures (DARe) for the project “AI-Powered Strategies for Strengthening UK Transport Systems Against Climate Change.” This research develops AI-driven cost-benefit analysis and benchmarking methods to support resilient, sustainable and decarbonised transport infrastructure planning.

In addition, Dr Shah is a Co-Principal Investigator on a £20,000 Responsible AI UK (RAi UK) collaboration project led by the University of Southampton, titled “Privacy-Preserving Governance and Ethical Assurance Framework for Decentralised Agentic AI in Pre-Litigation Analysis.” His role includes technical evaluation, governance guidance, workshop validation and collaboration with academic and industry partners.

His research integrates interdisciplinary approaches to drive technological advancements, with a focus on shaping the digital future and adapting to emerging technological trends. Committed to excellence in teaching, research, and professional development, Dr. Shah continues to inspire students and colleagues alike while advancing the field of computer science through his scholarly contributions.