Supervision and Mentoring
I supervise and mentor postgraduate researchers working on trustworthy AI, responsible LLMs, safety-critical ML, fairness, explainability, digital twins, EdgeAI, generative AI, and dependable autonomous systems.
Completed or Near-Completion Students
| Student |
Award / route |
Topic |
| Victoria Bessonova |
AURA CDT Scholarship |
Climate change impacts on the accessibility of offshore structures |
| Zeinab Dehghani |
MSc by Research, self-funded |
Addressing explainability of generative AI |
| Mostafa Anoosha |
MSc by Research, self-funded |
Vertical Federated Learning and EdgeAI |
| Kuniko Paxton |
DAIM Scholarship |
Redefining fairness in ML through a pigment-based approach to skin colour analysis |
Current First Supervision
| Student |
Role |
Topic |
| Mohadeseh Mollapour |
MSc by Research, self-funded |
Self-explainable generative AI solutions using SMILE |
| Shadie Mohammadi |
MSc by Research, self-funded |
Geo-SMILE for explainability in geospatial and temporal models |
| Louis Donaldson |
AURA Scholarship |
OPtimization EXplainability for maintenance scheduling of offshore wind farms |
Current Co-Supervision
| Student |
Partner / route |
Topic |
| Connor Walker |
with Yiannis Papadopoulos |
SafeLLM: safety monitoring for large language models in offshore wind maintenance |
| Parvin Ghaffarzadeh |
DAIM Scholarship |
ML-based remote monitoring to enhance bone health in peri- and post-menopausal women |
| Hari Neupane |
Microsoft |
Responsible large language models |
| Ankit Nathu |
Google |
Agentic AI safety and scheming detection |
| Sola Adewumi |
Ireland Weather Office |
Time-series explainability with SMILE |
| Razieh Arshadizadeh |
CS GTA |
Combining SafeML with Bayesian networks and federated learning |
Mentoring
| Period |
Area |
Focus |
| 2023-present |
Postgraduate research mentoring |
Research design, method development, academic writing, and publication planning |
| 2023-present |
Publication mentoring |
Journal, conference, and workshop paper development |
| 2024-present |
Responsible AI research mentoring |
SafeML, SafeLLM, SMILE, explainability, fairness, and AI safety |
| 2024-present |
Proposal development mentoring |
Project ideas, work packages, impact plans, and funding applications |
Prospective PhD and MSc by Research Students
I am interested in hearing from students with strong motivation in:
- AI safety and trustworthy machine learning.
- Responsible LLMs and multimodal AI alignment.
- Explainable AI for safety-critical applications.
- Runtime monitoring and uncertainty quantification.
- Dependability, digital twins, and autonomous systems.
Please include a short research statement, CV, and links to relevant code, publications, or project work when getting in touch.