Essa Shahra

Assistant Lecturer

School of Computing and Digital Technology - CDT

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

Essa Shahra received a Bachelor's degree from Taiz University in his home country Yemen, before progressing on to his Master's at King Fahd University of Petroleum and Minerals in Saudi Arabia. He obtained his Ph.D. from Birmingham City University. He recently joined the Computing and Data Science department at Birmingham City University as Assistant Lecturer.

His research interests are AI, IoT, wireless sensor networks, routing, fog computing, indoor localisation, and computer network and security.

Essa’s work experience has included working as Research Assistant at Birmingham City University and Marie Curie. He also worked as a Graduate Assistant at King Fahd University and a Teaching Assistant at Taiz University, within their faculty of engineering.

Areas of Expertise

Qualifications

Teaching

Publications

Patent

Baroudi, U., Aliyu, F. M., Shahra, E. Q. N., & Al Naser, A. S. H. (2019). U.S. Patent No. 10,492,064. Washington, DC: U.S. Patent and Trademark Office.

Journals

Shahra, E. Q., Wu, W., & Gomez, R. (2021). Human health impact analysis of contaminant in IoT-enabled water distributed networks. Applied Sciences, 11(8), 3394.
Shahra, E. Q., & Wu, W. (2020). Water contaminants detection using sensor placement approach in smart water networks. Journal of Ambient Intelligence and Humanized Computing, 1-16.

Sheltami, T. R., Shahra, E. Q., & Shakshuki, E. M. (2017). Performance comparison of three localization protocols in WSN using Cooja. Journal of Ambient Intelligence and Humanized Computing, 1-10.

Shahra, E. Q., Sheltami, T. R., & Shakshuki, E. M. (2017). A Comparative Study ofRange-Free and Range-Based Localization Protocols for Wireless Sensor Network: Using COOJA Simulator. International Journal of Distributed Systems and Technologies (IJDST), 8(1), 1-16.

Shahra EQ, Al-Ramadan B (2017). Location Based Service (LBS): Tracking System. J Comput Eng Inf Technol 6:2. doi: 10.4172/2324-9307.1000167.

Aldarwbi, M., & Shahra, E. (2017). Hierarchy Website Fingerprint Using N-gram Byte Distribution. Transactions on Networks and Communications, 5(6), 09.

Conferences

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 plateform 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.