Syed Attique Shah

Lecturer in Smart Computer Systems

School of Computing and Digital Technology - CDT

Email:: Syed.shah2@bcu.ac.uk
Phone:: 0121 331 7494

Dr. Syed Attique Shah is working as a Lecturer in Smart Computer Systems, at the School of Computing and Digital Technology, Birmingham City University, UK. Dr. Shah has more than 10 years of experience in teaching and research. Previously, he was working as a Lecturer/Assistant Professor at the Data Systems Group, Institute of Computer Science, University of Tartu, Estonia. He has also worked as an Associate Professor and the Chairperson at the Department of Computer Science, BUITEMS, Quetta, Pakistan. He has been recognized by HEC Pakistan as an approved Ph.D. supervisor.

Dr. Shah completed his Ph.D. at Istanbul Technical University, Turkey. During his Ph.D., he studied as a Visiting Scholar at the University of Tokyo, Japan, National Chiao Tung University, Taiwan, and Tallinn University of Technology, Estonia, where he completed the major content of his thesis. He has published more than 15 research papers in reputable Q1 journals. He has also presented several research papers at internationally renowned conferences. He has been involved in many funded research projects as Co-Principal Investigator and Project Lead. His research interests include big data analytics, information management, software-defined networking, and the Internet of Things

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. 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.

10. 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.

Complete list of publications