Professor, Director
University of Hull
Hull, United Kingdom
Professor of Machine Learning & AI; Director of DAIM, University of Hull. Research: representation learning for responsible and trustworthy AI.
My research centres on responsible and trustworthy AI, developing novel representation learning techniques for explainable, adaptive and robust deep-learning methods that remain reliable under uncertainty, distribution shift and real‑world constraints. I welcome projects on: (1) robust and explainable multimodal learning (vision, language and sensor data), including domain generalisation/adaptation, continual learning, and red‑teaming against adversarial or prompt‑based attacks; (2) trustworthy generative AI for decision support, covering calibration, hallucination detection, evaluation, monitoring and governance, with human‑in‑the‑loop design; (3) interpretable and safe learning for high‑stakes deployment, including uncertainty quantification, fairness/bias auditing, privacy‑preserving learning, and methods that translate into deployable, auditable systems. Applications may span health, manufacturing, security and public services, with an emphasis on rigorous validation, reproducibility, and measurable scientific and societal impact.
Skills
Interests
Project cooperation
Hosting Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowships 2026
Seeking MSCA collaboration in robust, explainable and multimodal AI systems