Lecturer · MSc AI Programme Leader · FHEA
Dr. Mohammad
Naiseh
University of Aberdeen · Lecturer in Computer Science
Bournemouth University · Visiting Associate
University of Southampton · Visiting Researcher

Designing AI that humans can understand, trust, and control — research at the intersection of explainability, human-centred design, and responsible AI governance.

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Dr. Mohammad Naiseh
49+
Publications
1K+
Citations
€16M+
Research funding
4
Workshops organised
Latest
News & updates
Recent research, teaching events, and publications.
Teaching
19 May 2026
Webinar: Trusting the Machine — When to Use AI and When to Think for Yourself
AFG College / University of Aberdeen, Doha
 Publication
2026
Do Language Models Help or Harm? — IEEE CAI 2026
Role of LLM-generated explanations in human-AI image classification tasks
 Teaching
16 Feb 2026
Workshop: Designing AI for Humans — Building Responsible Intelligent Systems
University of Aberdeen Qatar
 Workshop
Jun 2025
Frictional AI Workshop (2nd ed.) at HHAI 2025, Pisa
Cognitive engagement in hybrid human-AI decision-making
Focus areas
Research themes
My work sits at the boundary of computer science, cognitive psychology, and design.
Responsible AI Human-Centred AI Explainable AI (XAI) Trust calibration Human-AI teaming AI reliance Trustworthy autonomous systems
Explore
What I do
Research, teaching, and scholarship across responsible AI and human-centred design.
Research
Publications
49+ peer-reviewed papers · 900+ citations across journals and conferences
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Education
Teaching
Aberdeen · Bournemouth · Southampton — AI, XAI, and data science
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Scholarship
Writing & Talks
Blog articles, workshop organisation, and conference presentations
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Recognition
Impact
Awards, policy citations, and top-cited papers
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Funded research
Current projects
Active research projects across EU Horizon and UKRI programmes.
EU Horizon
Co-Investigator
PRESERVE
Privacy-preserving and explainable AI for personalised healthcare decision support.
€6M · 2024–2027
EU Horizon
Co-Investigator
ExtremeXP
Extreme experimentation framework for data-driven AI and analytics pipelines.
€10M · 2024–2027
UKRI TAS Hub
Principal Investigator
Liability in AVs
Communicating liability and accountability in autonomous vehicle systems to end users.
UKRI · 2022–2023
UKRI TAS Hub
Co-Investigator
REFORMIST
ML-based oesophageal cancer decision support — Royal Society Award Finalist 2025.
UKRI · 2023–2024
Work with me
Let’s collaborate

Based in Doha and actively building collaborations across the GCC region and internationally. I welcome visitor arrangements, research partnerships, and PhD co-supervision — particularly in Human-Centred AI, XAI, and AI reliance.

Get in touch
Visitor collaborations
Open to visitor researcher arrangements at Aberdeen Qatar and partner institutions across the GCC. Particularly relevant for researchers in HCI, Responsible AI, and XAI.
PhD co-supervision
Interested in co-supervising PhD students working at the intersection of Human-AI Interaction, trust, and explainability. Send a brief research proposal to get started.
Consultancy & training
Available for responsible AI consultancy, workshop facilitation, and executive training for organisations deploying AI in high-stakes domains.
Recognition
Awards & impact
Selected highlights from research recognition and policy influence.
Best Paper Award, TAS Symposium
Edinburgh · 2023
Award Finalist — AI & Robotics Research Awards, Royal Society
London · 2025
Cited in UK Parliamentary POST Briefing on AI & Mental Healthcare
2025
Top Cited Article — International Journal of Human-Computer Studies
Elsevier · ongoing
Top Cited Article — Journal of Responsible Technology
Elsevier · ongoing
Connect
Find me online
Academic profiles, social media, and research repositories.
University of Aberdeen Google Scholar ORCID ResearchGate LinkedIn X / Twitter Medium