Projects per year
Personal profile
Research interests
I am a Royal Society Industry Fellow and Professor of Visual Computing and Machine Learning in the Department of Computer Science. I am the Director of the CAMERA research centre and work with the Visual Computing Group as well as serving as co-director of the university's research centre in Mathematics and Algorithms for Data.
I am interested in the modelling of shape and the use of machine learning techniques applied in the domain of computer vision (processing images from the real world) and graphics (creating and manipulating new images). Shape is such a fundamental component of graphics and vision that research in this field unifies the two subjects and there is obviously a great advantage to solving problems in both areas simultaneously since they help one-another. My latest ongoing research aims to learn automatically models of both man-made and natural shapes, and produce intelligent systems that make it easier to process, create and manipulate images. For further details please see my personal homepage for further details and publications.
Willing to supervise doctoral students
Please see the link here for details on open PhD and PostDoc positions in my group.
Education/Academic qualification
Engineering, Doctor of Philosophy, Automatic 3D Model Acquisition from Uncalibrated Images, University of Cambridge
2006 → 2010
Award Date: 14 May 2011
Engineering, Master of Engineering, University of Cambridge
2002 → 2006
External positions
Honorary Associate Professor, University College London
2018 → …
Royal Society Industry Fellow, The Royal Society
2017 → …
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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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REMODEL - Research Exchanges in the Mathematics of Deep Learning with Applications (Other JeS Guarantee Calls)
Ehrhardt, M. (PI), Budd, C. (CoI) & Campbell, N. (CoI)
1/05/24 → 30/04/28
Project: EU Commission
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My World - Strength in Places Fund
Campbell, N. (PI), Cosker, D. (PI), Campbell, N. (CoI) & Li, W. (CoI)
Innovate UK, Innovate UK Business Connect
1/04/21 → 31/03/27
Project: Central government, health and local authorities
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Machine Learning tools for Healthcare and Sports Performance Applications
Campbell, N. (PI) & Cazzola, D. (CoI)
Project: Research-related funding
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CAMERA - XR Network+ RSC Challenge
Campbell, N. (PI)
Engineering and Physical Sciences Research Council
20/01/25 → 31/07/25
Project: Research council
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The virtual biomechanics lab
Seminati, E. (PI), Cazzola, D. (CoI) & Campbell, N. (CoI)
1/09/24 → 31/05/25
Project: Research-related funding
Research output
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Gaussian Process Diffeomorphic Statistical Shape Modelling Out Performs Angle Based Methods for Assessment of Hip Dysplasia
Paul, A., Grammatopoulos, G., Rambojun, A., Campbell, N., Gill, H. S. & Shardlow, T., 9 Jan 2026, In: Medical Engineering & Physics . 147, 1, 015009.Research output: Contribution to journal › Article › peer-review
Open Access -
Bayesian MRI Reconstruction with Structured Uncertainty Distributions
Deveney, T., Simpson, I. & Campbell, N., 16 Jul 2025, (Acceptance date) Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Proceedings. Sudre, C. H., Hoque, M. I., Mehta, R., Qin, C., Ouyang, C., Rakic, M. & Wells, W. M. (eds.). Cham, Switzerland: Springer, p. 234-243 10 p. (Lecture Notes in Computer Science; vol. 16166 LNCS).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
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Discrete Anomalous Regions (DAR) - Going Beyond Heatmaps and Predicting Actionable Discrete Regions
D. J. Taylor, A., James Morrison, J., Tregidgo, P. & D. F. Campbell, N., 22 Jan 2025, Advances in Visual Computing : 19th International Symposium, ISVC 2024, Proceedings. Bebis, G., Patel, V., Gu, J., Panetta, J., Gingold, Y., Johnsen, K., Arefin, M. S., Dutta, S. & Biswas, A. (eds.). Cham, Switzerland: Springer, p. 322-334 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15047 LNCS).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
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Gaussian Process Diffeomorphic Statistical Shape Modelling Outperforms Angle-Based Methods for Assessment of Hip Dysplasia
Paul, A., Grammatopoulos, G., Rambojun, A., Campbell, N. D. F., Gill, H. S. & Shardlow, T., 5 Jun 2025, arXiv.Research output: Working paper / Preprint › Preprint
File12 Downloads (Pure) -
Sparse Randomized Approximation of Normal Cycles
Paul, A., Campbell, N. & Shardlow, T., 2 Mar 2025, (Unpublished) arXiv.Research output: Working paper / Preprint › Preprint
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ICMS Strategic Workshop on "New Directions for Stochastic Differential Equations and Machine Learning"
Foster, J. (Organiser), Shardlow, T. (Organiser), Campbell, N. (Organiser), Subr, K. (Organiser) & Wu, Y. (Organiser)
3 Jun 2024 → 7 Jun 2024Activity: Academic conferences and events (excluding conference publications) › Major conference organising role
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Forceteck Ltd - Official Spin-out Company - CEO & Founder: Dr Dario Cazzola
Cazzola, D. (Founder), Braschi, A. (Contributor) & Campbell, N. (Contributor)
24 Jul 2024Activity: Knowledge Exchange (Industry, Government, NGOs) › Spin out / start up