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
Kuniko Paxton	PhD, DAIM Scholarship	Redefining fairness in ML through a pigment-based approach to skin colour analysis
Victoria Bessonova	PhD, 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
Mohadeseh Mollapour	MSc by Research, self-funded	Self-explainable generative AI solutions using SMILE

Current First Supervision¶

Student	Role	Topic
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	AURA CDT Scholarship	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.