Projects per year
Personal profile
Research interests
Research interests: Bayesian inference and modelling, machine learning/deep learning, statistical signal processing, Monte Carlo numerical methods, sampling technqiues.
Please see my personal homepage for details.
Teaching interests
CM10310 Artificial Intelligence
CM50264 Machine Learning 1
CM50268 Bayesian Machine Learning
Education/Academic qualification
Bayesian Inference & Statistical Signal Processing, Doctor of Philosophy, Ph.D. , University of Cambridge
External positions
Associate Editor, IET Journals - The Institution of Engineering and Technology
Visiting Research Scientist, University of Cambridge
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
A Novel Contour-based Machine Learning Tool for Reliable Brain Tumour Resection
Chen, X. (PI)
Engineering and Physical Sciences Research Council
1/05/24 → 31/12/26
Project: Research council
-
An artificial intelligence disease monitoring tool for patients with brain tumours
Price, S. J. (PI), Schönlieb, C. B. (CoPI), Chen, X. (CoI), Li, C. (CoI), Matys, T. (CoI), Das, T. (CoI) & Jenkinson, M. (CoI)
1/02/22 → 31/01/23
Project: Central government, health and local authorities
-
Severe Storm Wave Loads on Offshore Wind Turbine Foundations (SEASWALLOWS)
Zang, J. (PI), Chen, X. (CoI) & Reale, C. (CoI)
Engineering and Physical Sciences Research Council
1/10/21 → 30/09/25
Project: Research council
-
An artificial intelligence disease monitoring tool for patients with brain tumours
Chen, X. (PI)
National Institute for Health Research
1/09/21 → 31/08/22
Project: Central government, health and local authorities
Research output
-
Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy
Rivadulla, A. R., Chen, X., Cazzola, D., Trewartha, G. & Preatoni, E., 31 Jan 2026, In: Sports Biomechanics. 25, 1, p. 22-45 24 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Link opens in a new tab Citations (SciVal)334 Downloads (Pure) -
Does preferred technique influence how kinematics change during a run to exhaustion?—A cluster based approach
Rivadulla, A. R., Sheehy, Z., Chen, X., Cazzola, D., Trewartha, G. & Preatoni, E., 11 Feb 2026, In: PeerJ. 14, p. 1-24 24 p., e20673.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
Investigating the analytical robustness of the social and behavioural sciences
Aczel, B., Szaszi, B., Clelland, H. T., Kovacs, M., Holzmeister, F., van Ravenzwaaij, D., Schulz-Kümpel, H., Hoffmann, S., Nilsonne, G., Kosa, L., Torma, Z. A., Abdelfatah, Y., Aberson, C. L., Acar, O. A., Acem, E., Adamkovic, M., Adamovich, T., Adiasto, K., Ahnström, L. & Akil, A. M. & 474 others, , 2 Apr 2026, In: Nature. 652, 8108, p. 135-142 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Link opens in a new tab Citations (SciVal)16 Downloads (Pure) -
EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation
Jagpal, D., Chen, X. & Namboodiri, V. P., 13 Aug 2025, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 18219-18228 10 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Estimation of lower limb joint moments using consumer realistic wearable sensor locations and deep learning – finding the balance between accuracy and consumer viability
Carter, J., Chen, X., Cazzola, D., Trewartha, G. & Preatoni, E., 9 Jul 2025, In: Sports Biomechanics. 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Link opens in a new tab Citation (SciVal)130 Downloads (Pure)
Datasets
-
Dataset for "Development and validation of FootNet; a new kinematic algorithm to improve foot-strike and toe-off detection in treadmill running"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Weir, G. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator), Hamill, J. (Creator) & Preatoni, E. (Creator), University of Bath, 26 Jul 2021
DOI: 10.15125/BATH-00965, https://github.com/adrianrivadulla/FootNet
Dataset
-
SeaSwallowsTool
Zang, J. (Creator), Ding, H. (Creator), Chen, X. (Creator), Adcock, T. A. A. (Creator), Tang, T. (Creator), Hlophe, T. (Creator), Dai, S. (Creator) & Taylor, P. H. (Creator), University of Bath, 23 Jun 2025
DOI: 10.15125/BATH-01530
Dataset
-
Dataset for "Does preferred technique influence how kinematics change during a run to exhaustion? – A cluster based approach"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator) & Preatoni, E. (Creator), University of Bath, 9 Dec 2025
DOI: 10.15125/BATH-01550, https://github.com/adrianrivadulla/fatigue_runners
Dataset
-
Full Body Kinematics and Ground Reaction Forces of Fifty Heterogeneous Runners Completing Treadmill Running at Various Speeds and Gradients
Carter, J. (Creator), Chen, X. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator) & Preatoni, E. (Creator), University of Bath, 30 May 2024
DOI: 10.15125/BATH-01341
Dataset
-
Dataset for "Clustering analysis across different speeds reveals two distinct running techniques with no differences in running economy"
Rodriguez Rivadulla, A. (Creator), Chen, X. (Creator), Cazzola, D. (Creator), Trewartha, G. (Creator) & Preatoni, E. (Creator), University of Bath, 11 Jul 2024
DOI: 10.15125/BATH-01636, https://github.com/adrianrivadulla/clustering_runners
Dataset