Projects per year
Personal profile
Research interests
I apply machine learning to a wide selection of problems, particularly those involving computer visions and graphics. I have a strong interests in graphical models, Bayesian non-parametric models, directional statistics and active learning.
I am currently especially interested in projects involving tools to help artists, machine learning for education, online/realtime machine learning, causality, and scaling non-parametric methods to big data.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
External positions
Director, 3Dami
Jul 2012 → …
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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KTP with Tensys Limited
Shepherd, P. & Fincham Haines, T.
22/08/23 → 21/02/26
Project: Central government, health and local authorities
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Point-of-care detection of synthetic cannabinoid receptor agonists
Pudney, C., Blagbrough, I., Bowman, R., Fincham Haines, T., Freeman, T., Husbands, S. & Scott, J.
Engineering and Physical Sciences Research Council
1/07/21 → 30/06/24
Project: Research council
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Psychosocial mechanisms of chronic pain
Keogh, E., Eccleston, C., Fincham Haines, T., Fisher, E., Jordan, A., Kyprianou, A., Lutteroth, C. & Ehrhardt, B.
1/07/21 → 30/06/25
Project: Research council
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DETI - EC3 - Automated Data Curation
Şimşek, Ö., Campbell, N., Fincham Haines, T. & Ehrhardt, B.
West of England Combined Authority
1/08/20 → 31/07/22
Project: Central government, health and local authorities
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CAMERA MC2 Award
Cosker, D., Cosker, D., Campbell, N., Fincham Haines, T., Hall, P., Li, W., Lutteroth, C., O'Neill, E., Richardt, C., Yang, Y. & Parsons, M.
2/12/19 → 31/03/23
Project: EU Commission
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Instant Detection of Synthetic Cannabinoids on Physical Matrices, Implemented on a Low-Cost, Ultraportable Device
Cozier, G., Andrews, R., Frinculescu, A., Kumar, R., May, B., Tooth, T., Collins, P., Costello, A., Haines, T. S. F., Freeman, T., Blagbrough, I., Scott, J., Shine, T., Sutcliffe, O. B., Husbands, S., Leach, J., Bowman, R. W. & Pudney, C., 29 Aug 2023, In: Analytical Chemistry.Research output: Contribution to journal › Article › peer-review
Open Access -
Photochemical Fingerprinting Is a Sensitive Probe for the Detection of Synthetic Cannabinoid Receptor Agonists; Toward Robust Point-of-Care Detection
Andrews, R., May, B., Hernández, F. J., Townsend, P., Cozier, G., Sutcliffe, O. B., Haines, T. S. F., Freeman, T., Scott, J., Husbands, S., Blagbrough, I., Bowman, R., Lewis, S., Grayson, M., Crespo-Otero, R., Carbery, D. & Pudney, C., 17 Jan 2023, In: Analytical Chemistry. 95, 2, p. 703-713Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (SciVal)43 Downloads (Pure) -
Synthetic Cannabinoid Receptor Agonists are Monoamine Oxidase-A Selective Inhibitors
Hindson, S., Andrews, R., Danson, M., van der Kamp, M., Manley, A., Sutcliffe, O. B., Haines, T. S. F., Freeman, T., Scott, J., Husbands, S., Blagbrough, I., Anderson, R., Carbery, D. & Pudney, C., 28 Jan 2023, (E-pub ahead of print) In: FEBS Journal.Research output: Contribution to journal › Article › peer-review
Open Access -
Automatic recognition of underwater munitions from multi-view sonar surveys using semi supervised machine learning: a simulation study
Bryan, O., Hunter, A. J., Haines, T. S. F., Hansen, R. E. & Warakagoda, N., 31 Dec 2022, In: Proceedings of Meetings on Acoustics. 47, 1, 070018.Research output: Contribution to journal › Conference article › peer-review
Open AccessFile9 Downloads (Pure) -
Challenges of Labelling Unknown Seabed Munition Dumpsites From Acoustic and Optical Surveys: A Case Study at Skagerrak
Bryan, O., Hansen, R. E., Haines, T. S. F., Warakagoda, N. & Hunter, A. J., 31 May 2022, In: Remote Sensing. 14, 11, 2619.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (SciVal)