Dr Lawrence Bull

Mitchell Fellowship in Statistics & Data (Statistics)

email: Lawrence.Bull@glasgow.ac.uk
pronouns: He/him/his

Office 422, Mathematics and Statistics Building, G12 8TA

Biography

Research Fellow in machine learning (ML) for physical systems. Particularly tools to encode structure (via domain knowledge) into data-driven models. Statistical methods for telemetry data from machines and infrastructure.

Lawrence is a communications editor for the Data-Centric Engineering journal and a Visiting Research Fellow at Cambridge University. He was on the Early-Career Academic and Professionals Panel (2021-2023) at the Cambridge Centre for Smart Infrastructure and Construction (CSIC).

https://labull.github.io/ [website]

Bio

[Sep.2022-May.2024] University of Cambridge | Research Associate | Computational Statistics and Machine Learning Group | Department of Engineering

[Jul.2021-Sep.2022] The Alan Turing Institute | Research Associate | Data-Centric Engineering

[Sep.2016-Jun.2021] University of Sheffield | PhD Student (2016-2019) Research Assistant (2019-2021) | Dynamics Research Group | Department of Engineering

Research interests

Research groups

Publications

List by: Type | Date

Jump to: 2024 | 2022 | 2021 | 2020 | 2019 | 2018

Number of items: 31.

2024

Bee, S., Poole, J., Worden, K., Dervilis, N. and Bull, L. (2024) Multitask feature selection within structural datasets. Data-Centric Engineering, 5, e4. (doi: 10.1017/dce.2024.1)

2022

Bull, L. A. , Dervilis, N., Worden, K., Cross, E. J. and Rogers, T. J. (2022) A sampling-based approach for information-theoretic inspection management. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478, 20210790. (doi: 10.1098/rspa.2021.0790)

Gardner, P., Bull, L. A. , Gosliga, J., Poole, J., Dervilis, N. and Worden, K. (2022) A population-based SHM methodology for heterogeneous structures: Transferring damage localisation knowledge between different aircraft wings. Mechanical Systems and Signal Processing, 172, 108918. (doi: 10.1016/j.ymssp.2022.108918)

Bull, L. A. , Gardner, P. A., Rogers, T. J., Dervilis, N., Cross, E. J., Papatheou, E., Maguire, A. E., Campos, C. and Worden, K. (2022) Bayesian modelling of multivalued power curves from an operational wind farm. Mechanical Systems and Signal Processing, 169, 108530. (doi: 10.1016/j.ymssp.2021.108530)

Hughes, A. J., Bull, L. A. , Gardner, P., Barthorpe, R. J., Dervilis, N. and Worden, K. (2022) On risk-based active learning for structural health monitoring. Mechanical Systems and Signal Processing, 167(part B), 108569. (doi: 10.1016/j.ymssp.2021.108569)

2021

Gardner, P., Bull, L.A. , Dervilis, N. and Worden, K. (2021) Overcoming the problem of repair in structural health monitoring: Metric-informed transfer learning. Journal of Sound and Vibration, 510, 116245. (doi: 10.1016/j.jsv.2021.116245)

Bull, L.A. , Gardner, P.A., Dervilis, N., Papatheou, E., Haywood-Alexander, M., Mills, R.S. and Worden, K. (2021) On the transfer of damage detectors between structures: an experimental case study. Journal of Sound and Vibration, 501, 116072. (doi: 10.1016/j.jsv.2021.116072)

Fuentes, R., Cross, E., Gardner, P., Bull, L.A. , Rogers, T., Barthorpe, R., Shi, H., Dervilis, N., Farrar, C. and Worden, K. (2021) Structural health monitoring and damage identification. In: Allemang, R. and Avitabile, P. (eds.) Handbook of Experimental Structural Dynamics. Springer, pp. 1-72. ISBN 9781493965038 (doi: 10.1007/978-1-4939-6503-8_23-1)

Bull, L.A. , Gardner, P., Rogers, T.J., Cross, E.J., Dervilis, N. and Worden, K. (2021) Probabilistic inference for structural health monitoring: new modes of learning from data. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 7(1), 03120003. (doi: 10.1061/ajrua6.0001106)

Gardner, P., Bull, L.A. , Gosliga, J., Dervilis, N. and Worden, K. (2021) Foundations of population-based SHM, part III : heterogeneous populations – mapping and transfer. Mechanical Systems and Signal Processing, 149, 107142. (doi: 10.1016/j.ymssp.2020.107142)

Bull, L.A. , Gardner, P.A., Gosliga, J., Rogers, T.J., Dervilis, N., Cross, E.J., Papatheou, E., Maguire, A.E., Campos, C. and Worden, K. (2021) Foundations of population-based SHM, Part I : homogeneous populations and forms. Mechanical Systems and Signal Processing, 148, 107141. (doi: 10.1016/j.ymssp.2020.107141)

Gosliga, J., Gardner, P., Bull, L.A. , Dervilis, N. and Worden, K. (2021) Foundations of population-based SHM, part II : heterogeneous populations – graphs, networks, and communities. Mechanical Systems and Signal Processing, 148, 107144. (doi: 10.1016/j.ymssp.2020.107144)

Bull, L.A. , Gardner, P., Rogers, T.J., Cross, E.J., Dervilis, N. and Worden, K. (2021) New modes of inference for probabilistic SHM. In: Rizzo, P. and Milazzo, A. (eds.) European Workshop on Structural Health Monitoring. EWSHM 2020. Series: Lecture notes in civil engineering (128). Springer International Publishing: Cham, pp. 415-426. ISBN 9783030649074 (doi: 10.1007/978-3-030-64908-1_39)

Gosliga, J., Gardner, P., Bull, L.A. , Dervilis, N. and Worden, K. (2021) Towards population-based structural health monitoring, part II: heterogeneous populations and structures as graphs. In: Dilworth, B. and Mains, M. (eds.) Topics in Modal Analysis and Testing, Volume 8. Series: Conference proceedings of the Society for Experimental Mechanics series (8). Springer International Publishing: Cham, pp. 177-187. ISBN 9783030477165 (doi: 10.1007/978-3-030-47717-2_17)

2020

Chetcuti Zammit, S., Bull, L.A. , Sanders, D.S., Galvin, J., Dervilis, N., Sidhu, R. and Worden, K. (2020) Towards the probabilistic analysis of small bowel capsule endoscopy features to predict severity of duodenal histology in patients with villous atrophy. Journal of Medical Systems, 44(11), 195. (doi: 10.1007/s10916-020-01657-9) (PMID:33005996) (PMCID:PMC7529615)

Bull, L.A. , Gardner, P., Gosliga, J., Dervilis, N., Papatheou, E., Maguire, A., Campos, C., Rogers, T., Cross, E. and Worden, K. (2020) Towards population-based structural health monitoring, Part I: Homogeneous populations and forms. In: Mao, Z. (ed.) Model Validation and Uncertainty Quantification. Series: Conference proceedings of the Society for Experimental Mechanics series (3). Springer International Publishing: Cham, pp. 287-302. ISBN 9783030487782 (doi: 10.1007/978-3-030-47638-0_32)

Gardner, P., Bull, L.A. , Dervilis, N. and Worden, K. (2020) Kernelised Bayesian transfer learning for population-based structural health monitoring. In: Mao, Z. (ed.) Model Validation and Uncertainty Quantification, Volume 3. Series: Conference proceedings of the Society for Experimental Mechanics series (3). Springer International Publishing: Cham, pp. 209-215. ISBN 9783030487782 (doi: 10.1007/978-3-030-47638-0_22)

Gardner, P., Bull, L.A. , Gosliga, J., Dervilis, N. and Worden, K. (2020) Towards population-based structural health monitoring, Part IV: Heterogeneous populations, transfer and mapping. In: Mao, Z. (ed.) Model Validation and Uncertainty Quantification. Series: Conference proceedings of the Society for Experimental Mechanics series (3). Springer International Publishing: Cham, pp. 187-199. ISBN 9783030487782 (doi: 10.1007/978-3-030-47638-0_20)

Gosliga, J., Gardner, P.A., Bull, L.A. , Dervilis, N. and Worden, K. (2020) Towards population-based structural health monitoring, Part III: graphs, networks and communities. In: Dilworth, B. and Mains, M. (eds.) Topics in Modal Analysis and Testing. Series: Conference proceedings of the Society for Experimental Mechanics series (8). Springer: Cham, pp. 255-267. ISBN 9783030477165 (doi: 10.1007/978-3-030-47717-2_26)

Worden, K., Bull, L.A. , Gardner, P., Gosliga, J., Rogers, T., Cross, E., Papatheou, E., Lin, W. and Dervilis, N. (2020) A brief introduction to recent developments in population-based structural health monitoring. Frontiers in Built Environment, 6, 146. (doi: 10.3389/fbuil.2020.00146)

Bull, L.A. , Worden, K. and Dervilis, N. (2020) Towards semi-supervised and probabilistic classification in structural health monitoring. Mechanical Systems and Signal Processing, 140, 106653. (doi: 10.1016/j.ymssp.2020.106653)

2019

Bull, L.A. , Rogers, T.J., Wickramarachchi, C., Cross, E.J., Worden, K. and Dervilis, N. (2019) Probabilistic active learning: An online framework for structural health monitoring. Mechanical Systems and Signal Processing, 134, 106294. (doi: 10.1016/j.ymssp.2019.106294)

Bull, L.A. , Worden, K., Fuentes, R., Manson, G., Cross, E.J. and Dervilis, N. (2019) Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data. Journal of Sound and Vibration, 453, pp. 126-150. (doi: 10.1016/j.jsv.2019.03.025)

Bull, L.A. , Worden, K., Rogers, T., Wickramarachchi, C., Cross, E., McLeay, T., Leahy, W. and Dervilis, N. (2019) A probabilistic framework for online structural health monitoring : active learning from machining data streams. Journal of Physics : Conference Series, 1264, 012028. (doi: 10.1088/1742-6596/1264/1/012028)

Dervilis, N., Zhang, T., Bull, L.A. , Cross, E.J., Rogers, T.J., Fuentes, R., Dertimanis, V., Abdallah, I., Chatzi, E. and Worden, K. (2019) A Nonlinear Robust Outlier Detection Approach for SHM. In: 8th IOMAC - International Operational Modal Analysis Conference, Proceedings, Copenhagen, Denmark, 13-15 May 2019, pp. 107-114. ISBN 9781510888333

Bull, L.A. , Worden, K., Rogers, T., Cross, E. and Dervilis, N. (2019) Investigating engineering data by probabilistic measures. In: Dervilis, N. (ed.) Special Topics in Structural Dynamics and Experimental Techniques, Volume 5. Series: Conference proceedings of the Society for Experimental Mechanics series (5). Springer International Publishing, pp. 77-81. ISBN 9783030122423 (doi: 10.1007/978-3-030-12243-0_12)

Bull, L.A. , Dervilis, N. and Worden, K. (2019) Experimental validation of the population-form to represent nominally-identical systems. In: Chang, F.-K., Güeme,, A., Kopsaftopoulos, F. and International Workshop on Structural Health Monitoring, (eds.) Structural Health Monitoring 2019. Enabling Intelligent Life-cycle Health Management for Industry Internet of Things (IIOT). DEStech Publications, Inc.: Lancaster, Pennsylvania, USA. ISBN 9781605956015 (doi: 10.12783/shm2019/32373)

Bull, L.A. , Worden, K. and Dervilis, N. (2019) Damage classification using labelled and unlabelled measurements. In: Chang, F.-K., Güeme, A., Kopsaftopoulos, F. and International Workshop on Structural Health Monitoring, (eds.) Structural Health Monitoring 2019. Enabling Intelligent Life-cycle Health Management for Industry Internet of Things (IIOT). DEStech Publications, Inc.: Lancaster, Pennsylvania, USA. ISBN 9781605956015 (doi: 10.12783/shm2019/32484)

2018

Bull, L. , Worden, K., Manson, G. and Dervilis, N. (2018) Active learning for semi-supervised structural health monitoring. Journal of Sound and Vibration, 437, pp. 373-388. (doi: 10.1016/j.jsv.2018.08.040)

Bull, L.A. , Manson, G., Worden, K. and Dervilis, N. (2018) Active learning approaches to structural health monitoring. In: Dervilis, N. (ed.) Special Topics in Structural Dynamics, Volume 5. Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. Springer International Publishing, pp. 157-159. ISBN 9783319753904 (doi: 10.1007/978-3-319-75390-4_14)

This list was generated on Sat Dec 21 05:33:27 2024 GMT.

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