Dr. Syed Attique Shah

Senior Lecturer

Email:: syedattique.shah@bcu.ac.uk

Dr. Syed Attique Shah is a Senior Lecturer in Smart Computer Systems at the Department of Computer Science, Birmingham City University (BCU), UK. He also serves as the Course Lead/Director for the MRes in Computing and 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.

With extensive teaching experience, Dr. Shah has designed and delivered courses on Machine Learning, the Internet of Things, Artificial Intelligence, Programming Languages, Computer Networks, Data Science, and Software Engineering at both undergraduate and postgraduate levels. He has supervised over 30 postgraduate students and co-supervised 3 Ph.D. candidates to successful completion. He is currently supervising a PhD student researching the use of AI and digital twinning for energy efficiency.

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.

His research focuses on cutting-edge areas such as Machine Learning, Data Science, Image Processing, 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 2,800 citations and an h-index of over 24. He has served as an editor on special issues for journals such as Big Data and Cognitive Computing and IET Smart Cities, and has chaired sessions at top conferences (e.g., IEEE BigData 2023). His work has been presented at leading international conferences, further demonstrating his research impact.

Dr. Shah's leadership as Principal Investigator (PI) on two major UK-funded projects highlights his success in securing funding (£100k total) and driving innovation. He is spearheading the Alan Turing Institute/UKRI DTNet+ project (£50,000), establishing AI-enabled digital twin frameworks to model and optimise Positive Energy Districts using real-time data and intelligent decision support. As PI on another EPSRC/UKRI/DfT project (£50,000) under the National Hub for Decarbonised, Adaptable, and Resilient Transport Infrastructures (DARe) Transport Hub, he applied multi-agent systems and federated learning to develop AI strategies enhancing climate resilience in UK transport infrastructure.

He has also contributed to multiple funded research projects as Co-Principal Investigator and Project Lead. 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.

Areas of Expertise

Qualifications

Memberships

Teaching

Research

Publications

Selected Journal Publications:

1. Syed Attique Shah, Dursun Zafer Şeker, M. Mazhar Rathore, Sufian Hameed, Sadok Ben Yahia, Dirk Draheim, “Towards Disaster Resilient Smart Cities: Can Internet of Things and Big Data Analytics Be the Game Changers?”, IEEE Access, vol. 7, pp. 91885 91903, (2019).
DOI: 10.1109/ACCESS.2019.2928233. Available: https://ieeexplore.ieee.org/document/8759905.

2. Syed Attique Shah, Dursun Zafer Şeker, Sufian Hameed, Dirk Draheim, “The Rising Role of Big Data Analytics and IoT in Disaster Management:
Recent Advances, Taxonomy and Prospects”, IEEE Access, vol. 7, pp. 54595 54614, (2019).
DOI: 10.1109/ACCESS.2019.2913340. Available: https://ieeexplore.ieee.org/document/8698814.

3. Sufian Hameed, Syed Attique Shah, Qazi Sarmad Saeed, Shahbaz Siddiqui, Ihsan Ali, Anton Vedeshin, and Dirk Draheim, “A Scalable Key and Trust Management Solution for IoT Sensors Using SDN and Blockchain Technology”, IEEE Sensors Journal, vol. 21, no. 6, pp. 8716‑8733, (2021). DOI:10.1109/JSEN.2021.3052009.

4. Jalal Bhayo, Riaz Jafaq, Awais Ahmed, Sufian Hameed, and Syed Attique Shah. “A Time Efficient Approach Towards DDoS Attack Detection in IoT Network using SDN”, IEEE Internet of Things Journal, Vol. 9, no. 5, pp. 3612 3630, March 1, (2022),
DOI: 10.1109/JIOT.2021.3098029.

5. Jalal Bhayo, Sufian Hameed, Syed Attique Shah, “An Efficient Counter‑Based DDoS Attack Detection Framework Leveraging Software-Defined IoT (SD‑IoT)”, IEEE Access, vol. 8, pp. 221612‑221631, (2020). DOI: 10.1109/ACCESS.2020.3043082. Available: https://ieeexplore.ieee.org/document/9285245.

6. M. Mazhar Rathore, Syed Attique Shah, Ahmed Awad, Dhirendra Shukla, Shanmuganathan Vimal, and Anand Paul, “A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities”, Sustainability, Volume 13, Issue 14: 7606, (2021). DOI: 10.3390/su13147606.

7. M. Mazhar Rathore, Anand Paul, Seungmin Rho, Murad Khan, S. Vimal, and Syed Attique Shah, “Smart Traffic Control: Driving Violation Identification on Fog Devices using Mobile Camera”, Sustainable Cities and Society, Volume 71, 102986, (2021).
Available: https://www.sciencedirect.com/science/article/pii/S2210670721002729. DOI: https://doi.org/10.1016/j.scs.2021.102986.

8. Hamayoun Shahwani, Syed Attique Shah, Muhammad Ashraf, Muhammad Akram, Jaehoon (Paul) Jeong, and Jitae Shin, “A Comprehensive Survey on Data Dissemination in Vehicular Ad Hoc Networks”, Vehicular Communications, Volume 34, (2022), 100420, ISSN 2214 2096,
https://doi.org/10.1016/j.vehcom.2021.100420.

9. Jawad Rasheed, Akhtar Jamil, Alaa Ali Hameed, Usman Aftab, Javaria Aftab, Syed Attique Shah, Dirk Draheim, “A survey on artificial intelligence approaches in supporting frontline workers and decision-makers for the COVID‑19 pandemic”, Chaos, Solitons & Fractals, ISSN 0960‑0779, Volume 141, 110337, (2020). Available: http://www.sciencedirect.com/science/article/pii/S0960077920307323.DOI: https://doi.org/10.1016/j.chaos.2020.110337.

10. M. Mazhar Rathore, Syed Attique Shah, Dhirendra Shukla, Elmahdi Bentafat, and Spiridon Bakiras, “The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities”, IEEE Access, vol. 9, pp. 32030‑32052, (2021). DOI: 10.1109/ACCESS.2021.3060863.

A complete list of publications is available at: