Lecturer in Computer Science

Dr Tariq Alsboui earned his PhD in Computer Science from the University of Huddersfield, UK, in 2022. He completed his MSc in Computer Science in 2017 at Al-Zaytoonah University, Jordan, and his BSc in Internet Computing in 2010 at Manchester Metropolitan University, UK. Tariq is a Fellow of the Higher Education Academy.

Before joining the University of Bedfordshire, he worked as a Lecturer in Computing in the Department of Computing and Engineering at the University of Huddersfield.

Qualifications

• PhD: University of Huddersfield, UK
• MSc: Al-Zaytoonah University, Jordan
• BSc: Manchester Metropolitan University, UK

Teaching Areas

• Software design patterns and data architectures
• Principles of Programming
• Principles of programming and data structures

Research Interests

• Internet of Things (IoT)
• Wireless Sensor Networks (WSNs)
• Distributed Ledger Technology (Blockchain and IOTA Tangle)
• Multi-Agent Systems
• Distributed Intelligence in IoT
• Data Collection in WSNs.
• Resource allocation in IoT

Publications

• Al-Mhiqani, M. N., Alsboui, T., Al-Shehari, T., hameed Abdulkareem, K., Ahmad, R., & Mohammed, M. A. (2024). Insider threat detection in cyber-physical systems: a systematic literature review. Computers and Electrical Engineering, 119, 109489.
• Ajlan, K. A., Alsboui, T., Alshaikh, O., Inuwa-Dute, I., Khan, S., & Parkinson, S. (2024). The Emerging Challenges of Wearable Biometric Cryptosystems. Cryptography, 8(3), 27.
• Mubarak, R., Alsboui, T., Alshaikh, O., Inuwa-Dute, I., Khan, S., & Parkinson, S. (2023). A survey on the detection and impacts of deepfakes in visual, audio, and textual formats. IEEE Access.
• Alsboui, T., Hill, R., Al-Aqrabi, H., Farid, H. M. A., Riaz, M., Iram, S., ... & Hussain, M. (2022). A dynamic multi-mobile agent itinerary planning approach in wireless sensor networks via intuitionistic fuzzy set. Sensors, 22(20), 8037.
• Alsboui, T. A., Hussain, M., Al-Aqrabi, H., Hill, R., & Hijjawi, M. (2023, April). A Scalable Decentralized and Lightweight Access Control Framework Using IOTA Tangle for the Internet of Things. In IoTBDS(pp. 178-185).
• Alsboui, T., Qin, Y., Hill, R., & Al-Aqrabi, H. (2021). Distributed intelligence in the internet of things: Challenges and opportunities. SN Computer Science, 2(4), 277.
• Alsboui, T., Qin, Y., Hill, R., & Al-Aqrabi, H. (2020). Enabling distributed intelligence for the Internet of Things with IOTA and mobile agents. Computing, 102(6), 1345-1363.
• Alsboui, T., Qin, Y., Hill, R., & Al-Aqrabi, H. (2021). An energy efficient multi-mobile agent itinerary planning approach in wireless sensor networks. Computing, 103(9), 2093-2113.
• Alsboui, T., Qin, Y., Hill, R., & Al-Aqrabi, H. (2020). Towards a scalable iota tangle-based distributed intelligence approach for the internet of things. In Intelligent Computing: Proceedings of the 2020 Computing Conference, Volume 2(pp. 487-501). Springer International Publishing.
• Alsboui, T. A., Qin, Y., & Hill, R. (2019). Enabling Distributed Intelligence in the Internet of Things using the IOTA Tangle Architecture. IoTBDS, 392-398.

Contact Details

• E: tariq.alsboui@beds.ac.uk