DR MOHAMMAD ALSELEK

Assistant Professor, Computer Science Programme
College of Computing & Data Science

Academic Qualifications

Postgraduate Certificate in Academic Practice (PgCAP) – University of the West of Scotland, UK (2025)
Ph.D. in Computer Science (Artificial Intelligence) – University of the West of Scotland, UK (2024)
M.Sc. in Computer Systems Engineering – Polytechnic Institute of Porto (ISEP), Portugal (2016)
B.Eng. in Computer Engineering & Automation – Damascus University, Syria (2013)

Professional Experience

With over a decade of internationally recognized leadership across the UK, Europe, and the Middle East, Dr. Mohammad Alselek is a computer scientist and academic leader serving as an Assistant Professor in the College of Computing and Data Science at Oryx University. Positioned at the intersection of high-stakes industrial strategy and groundbreaking research, he previously served as an Assistant Professor and Senior R&D Leader at the University of the West of Scotland (UK), where he spearheaded major research initiatives and architected top-tier curricula in Applied AI, Data Analytics, and Enterprise Systems. A former Senior Project Manager and R&D Strategist for European technology leaders including SISTRADE, PROEF Group, and Novabase, Dr. Alselek has directed high-impact work packages across prestigious EU Horizon Europe, H2020, and UKRI research consortiums representing over $20M in funding. He is also a Fellow of Advance HE (FHEA).

Research Interests

Edge AI & Task-Specific LLMs: Architecting compressed language models and generative AI for real-time decision-making on low-power devices.
TinyML & Embedded Intelligence: Optimizing micro-scale deep learning models and continuous DevOps workflows for resource-constrained microcontrollers.
Decentralized IoT & Federated Learning: Designing privacy-preserving, ultra-low-latency distributed AI architectures across the Edge-Cloud continuum.
Green AI & Sustainable Infrastructure: Engineering energy-efficient AI algorithms and Digital Twins for environmental sensing, smart cities, and industrial decarbonization.
Autonomous Edge Sensing: Building intelligent multi-sensor pipelines for real-time monitoring, predictive maintenance, and complex classification.

Selected Publications

Fayos, R., Alselek, M., et al. (2025). "5G Tiny-ML AI-based IoT eNose System for Hazardous Odour Detection." IEEE Sensors Journal.
Garcia, J., Alselek, M., et al. (2025). "AI-driven 5G IoT e-nose for beverage classification." Applied Intelligence, Springer.
Alselek, M., Alcaraz-Calero, J.M., Wang, Q. (2024). "Agile AI and Firmware Management in IoT: DevOps for Microcontrollers." IEEE SpliTech Conference.