Tom Fincham Haines

Tom Fincham Haines is a Senior Lecturer in the Department of Computer Science at the University of Bath. He is affiliated with the UKRI Centre for Doctoral Training in Accountable, Responsible and Transparent AI, the Centre for Mathematics and Algorithms for Data (MAD), and multiple interdisciplinary institutes including Visual Computing, IAAPS, the Bath Institute for the Augmented Human, and the Institute for Digital Security and Behaviour (IDSB). He is actively accepting doctoral students and maintains a strong research presence in machine learning and its applications.

Research Interests: Dr. Haines applies machine learning to computer vision and graphics, with a focus on graphical models, Bayesian non-parametric models, directional statistics, and active learning. His current interests include developing tools for artists, machine learning for education, online/real-time machine learning, causality, and scaling non-parametric methods for big data. His work contributes to several UN Sustainable Development Goals, particularly in health and security domains.

Recent Research Trends: His recent publications (2024–2025) reflect a strong interdisciplinary focus, combining machine learning with applications in sonar imaging, drug detection, and creative media. He leverages deep learning and hybrid spectroscopic techniques for portable forensic devices and explores tangible interfaces for virtual film production, demonstrating a blend of technical innovation and societal impact.

Scientific Awards:

• No specific awards mentioned in the provided text.

Advising and Grants: Dr. Haines supervises doctoral students and has contributed to 8 supervised works. He is actively involved in multiple funded research projects, including as Principal Investigator (PI) on a Defence Science and Technology Laboratory project for synthetic opioid detection, and as Co-Investigator on EPSRC, MRC, Innovate UK, and National Police Chiefs' Council projects related to healthcare, chronic pain, and radicalization. His grant portfolio reflects strong collaboration across engineering, health, and security sectors.

Labs and Teams: He is embedded in several research centers at the University of Bath, including the Centre for Mathematics and Algorithms for Data (MAD), the Institute for the Augmented Human, and the Institute for Digital Security and Behaviour (IDSB), where he contributes to AI, machine learning, and visual computing initiatives. His work spans collaborative teams in healthcare technology, digital forensics, and creative computing.