Essa Shahra

Lecturer in Computer Science

Email:: essa.shahra@bcu.ac.uk

Dr. Essa Shahra received his bachelor’s degree from Taiz University in Yemen, followed by a Master’s degree from King Fahd University of Petroleum and Minerals in Saudi Arabia. He later obtained his Ph.D. from Birmingham City University in the UK, specializing in Artificial Intelligence and the Internet of Things.

Over the years, Dr. Essa has been a pivotal figure in several funded research projects, serving as a highly effective research coordinator and contributing significantly to cutting-edge advancements in his field.

Dr. Essa has authored numerous peer-reviewed articles published in prestigious international journals and conferences. His research interests are AI, IoT, wireless sensor networks, routing, fog computing, indoor localisation, and computer network and security. With a strong interdisciplinary background, he consistently bridges the gap between academia and industry, driving impactful innovation through his contributions.

Areas of Expertise

Qualifications

Teaching

Research

Postgraduate Supervision

Publications

Patent

Baroudi, U., Aliyu, F. M., Shahra, E. Q. N., & Al Naser, A. S. H. (2019). US Patent No. 10,492,064. Washington, DC: US Patent and Trademark Office. "System for protecting privacy of a base station in wireless sensor networks”.

Book chapters

Shahra, E.Q., Sheltami, T.R. and Shakshuki, E.M., 2020. A comparative study of range-free and range-based localization protocols for wireless sensor network: Using cooja simulator. In Sensor technology: Concepts, methodologies, tools, and applications (pp. 1522-1537). IGI Global

Journals

Shinde, A., Shahra, E.Q., Basurra, S., Saeed, F., AlSewari, A.A. and Jabbar, W.A., 2024. SMS Scam Detection Application Based on Optical Character Recognition for Image Data Using Unsupervised and Deep Semi-Supervised Learning. Sensors, 24(18), p.6084.
Devey, J., Gill, P.S., Allen, G., Shahra, E. and Idrissi, M., 2024. Network-Centric Formation Control and Ad Hoc Communication with Localisation Analysis in Multi-UAV Systems. Machines, 12(8), p.550.
Onalaja, J., Shahra, E.Q., Basurra, S. and Jabbar, W.A., 2024. Image Classifier for an Online Footwear Marketplace to Distinguish between Counterfeit and Real Sneakers for Resale. Sensors, 24(10), p.3030.
Shahra, E.Q., Wu, W., Basurra, S. and Aneiba, A., 2024. Intelligent Edge-Cloud Framework for Water Quality Monitoring in Water Distribution System. Water, 16(2), p.196.
Shahra, E.Q. and Wu, W., 2023. Water contaminants detection using sensor placement approach in smart water networks. Journal of Ambient Intelligence and Humanized Computing, 14(5), pp.4971-4986.

Conferences

Devey, J., Shahra, E., Hao, W., Mi, D., Aneiba, A. and Idrissi, M., 2024, June. Design and Simulation of a Novel Leader-Follower UAV Cluster and Formation Control Network. In 2024 International Joint Conference on Neural Networks (IJCNN) (pp. 1-6). IEEE.
Suman, Shahra, E.Q., Alsewari, A.A. and Mahmoud, H.H., 2024, July. Tram Air Conditioning Fault Prediction Using Machine Learning. In International Conference on Knowledge Science, Engineering and Management (pp. 84-94). Singapore: Springer Nature Singapore.
Sharma, A., Shahra, E.Q. and Basurra, S., 2023, December. Comparative Analysis of ResNet50, and VGG16 Architectures for Counterfeit Logo Identification. In International Conference of Reliable Information and Communication Technology (pp. 240-251). Cham: Springer Nature Switzerland.
Devery, J., Gill, P.S., Allen, G., Shahra, E. and Idrissi, M., 2023. Formation Control of Quadrotor UAVs and Localisation Analyses Via Wireless Sensor Networks.
Toluwalope, T., Shahra, E. and Bassura, S., 2023. Auto-Insurance Fraud Detection Using Machine Learning Classification Models. Lecture Notes in Networks and Systems, pp.1-10.
Shahra, E.Q., Basurra, S. and Wu, W., 2023, February. Real-time multi-class classification of water quality using MLP and ensemble learning. In International Congress on Information and Communication Technology (pp. 481-491). Singapore: Springer Nature Singapore.
Shahra, E. Q., Wu, W., Basurra, S., & Rizou, S. (2021, June). Deep Learning for Water Quality Classification in Water Distribution Networks. In International Conference on Engineering Applications of Neural Networks (pp. 153-164). Springer, Cham.
Baroudi, U., Aliyu, F., Shahra, E., & Al Naser, A. (2019, October). An Anonymity Technique for Base Stations Against Traffic Volume Analysis in Wireless Sensor Networks and Internet of Things. In 2019 Sixth International Conference on Internet of Things: Systems, Management and Security (IOTSMS) (pp. 215-220). IEEE.
Shahra, E. Q., Wu, W., & Romano, M. (2019, August). Considerations on the deployment of heterogeneous IoT devices for smart water networks. In 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) (pp. 791-796). IEEE.
Shahra, E., & Wu, W. (2019). Dynamic water quality sensor placement using metaheuristic algorithm on water distribution system.
Al-Madani, B. M., & Shahra, E. Q. (2018). An energy aware platform for IoT indoor tracking based on RTPS. Procedia computer science, 130, 188-195.
Sheltami, T. R., Shahra, E. Q., & Shakshuki, E. M. (2018). Fog computing: Data streaming services for mobile end-users. Procedia computer science, 134, 289-296.
Shahra, E. Q., Sheltami, T. R., & Shakshuki, E. M. (2016). Comparative study of fingerprint and centroid localization protocol using cooja. Procedia Computer Science, 98, 16-23.