Mohammad Naiseh

Mohammad Naiseh is a Lecturer in Data Science & AI at Bournemouth University, Faculty of Science and Technology, Department of Computing and Informatics. He holds a PhD in Human-Centred AI from the same institution and is actively engaged in research on Explainable AI, trust calibration, and ethical autonomous systems. He is also a Visiting Researcher at the University of Southampton (2023–2024) and a Fellow of the UKRI Trustworthy Autonomous Systems (TAS) Hub.

His educational background includes a PhD in Explainable AI (2021), an MSc in Computer Science, and a PGCE in Education Practice (2024). He is a Fellow of the Higher Education Academy (2024) and was a finalist for the 2025 AI & Robotics Research Awards.

Naiseh’s research focuses on Human-Centred AI, Explainable AI (XAI), and Human-AI interaction, particularly in healthcare and autonomous systems. His work emphasizes trust calibration, ethical design, and societal impact. He has led and contributed to projects on explainability in human-swarm systems, clinical decision support, and digital wellbeing. His research bridges technical AI design with human factors, aiming to create socially beneficial and trustworthy systems.

His recent publications (2023–2025) span topics such as trust in autonomous vehicles, XAI frameworks (C-XAI), group-AI interaction, social XAI, and explainability in cybersecurity and swarm robotics. These works reflect a strong interdisciplinary trend, combining AI, psychology, ethics, and human factors, with applications in healthcare, law enforcement, and transportation.

• Finalist for the 2025 AI & Robotics Research Awards (UKRI TAS Hub, 2025)
• Fellow of the Higher Education Academy (Advance UK, 2024)
• Honourable Mention Paper at the first International Symposium on Trustworthy Autonomous Systems (2023)

Naiseh supervises PhD students, including Djamel Eddine Derias, and has taught courses on Explainable and Ethical AI, Deep Learning, and Research Methods. He has secured grants from UKRI and Horizon Europe, including projects like PRESERVE, REFORMIST, and Extreme XP. He actively contributes to curriculum design for Trustworthy Autonomous Systems and serves as a peer reviewer for journals such as AI and Society, International Journal of Human-Computer Interaction, and Artificial Intelligence in Medicine.

He is involved in research labs and teams such as the UKRI Trustworthy Autonomous Systems Hub and collaborates with Southampton and Poole Hospitals and the Met Police Cyber Crime Unit. His work is supported by a strong network including Pro2 Network+, Responsible AI UK, and the RAI UK skills working group.