Personal profile
Research interests
Paul is Chartered as a Mathematician, Scientist and Engineer, with over 25 years’ experience in the Construction Industry. After gaining a degree in Mathematics and a PhD in Structural Fire Engineering, Paul worked for international engineering consultancy BuroHappold and reached the position of Senior Analytical Consultant. He set-up and led their Complex Geometry and High-End Analysis group known as SMART, developing bespoke computer software to overcome the challenges posed by working with high-profile architects & clients on globally iconic buildings.
Now Professor of Computational Design in the Department of Architecture & Civil Engineering at the University of Bath, his research spans a wide range of multi-disciplinary projects - always in close collaboration with industry. His research uses computer simulation and optimisation to inprove the performance of the built environment.
This has historically focused on the shape and structure of a building, reducing embodied carbon problem by improving buildings in the design stage when changes can be implemented easily. It has since broadened to include buildings during their fabrication, using automated manufacturing systems like robots and 3D printers. More recently he has begun to consider buildings already in use, collecting data via sensors to build an understanding of the factors affecting their performance - what is known as a Digital Twin - and explore ways of improving them by adapting their structure, operation and the way people interact with them.
Paul is Co-Director of The Foundry: Centre for Digital Manufacturing & Design research, sits on the Institution of Structural Engineers’ “Digital Workflows and Computational Design” Panel, and is a passionate advocate for Public Engagement in Research, in which context he regularly presents to audiences of 1000 school pupils, to share insights into how Maths is used by Engineers to solve real world challenges, and to act as a role model for those considering a career in Engineering.
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):
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 13 Climate Action
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Collaborations and top research areas from the last five years
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Made Smarter Innovation: People-Led Digitalisation Engagement and Impact Acceleration
Newnes, L. (PI), Fai, F. (CoI), Giannikas, V. (CoI), Loukaides, E. (CoI), Shepherd, P. (CoI), Shokrani Chaharsooghi, A. (CoI), Basir, M. (Researcher), Carey, E. (Researcher), Hwabamungu, B. (Researcher), Kilic Ararat, B. (Researcher), Nwaiwu, F. (Researcher), Oliveira Da Silva, M. (Researcher), Roberto, R. (Researcher) & Smyth, L. (Researcher)
Engineering and Physical Sciences Research Council
1/04/25 → 1/04/26
Project: Research council
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People-Led Net Zero: accelerating our transition
Newnes, L. (PI), Battarra, M. (CoI), Larkin, C. (CoI), McManus, M. (CoI), Meng, M. (CoI), Shepherd, P. (CoI) & Lattanzio, S. (Researcher CoI)
1/02/25 → 31/01/30
Project: Research council
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ACE Living Labs
Adeyeye, K. (PI), Shea, A. (PI), Codinhoto, R. (PI) & Shepherd, P. (PI)
1/11/23 → …
Project: Other
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Digital Twins and Artificial Intelligence for the Environmental Performance, Management and Conservation of Modern Architectural and Urban Heritage: Case Studies in Brazilian University Campuses
Minto Fabricio, M. (PI), Codinhoto, R. (CoI), Shepherd, P. (CoI), Ceravolo, A. L. (CoI), Cuperschmid, A. R. M. (CoI), Campos Fialho, B. (CoI), Masiero, É. (CoI), Monaco, F. J. (CoI), Esteves, J. C. (CoI), Estrella, J. C. (CoI) & Tolentino, M. M. A. (CoI)
Project: Other
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KTP with Tensys Limited
Shepherd, P. (PI) & Fincham Haines, T. (CoI)
Innovate UK, Innovate UK Business Connect
22/08/23 → 21/02/26
Project: Central government, health and local authorities
Research output
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Fast structural analysis of concrete thin-shells using deep learning
Pollet, M., Shepherd, P., Hawkins, W. & Costa, E., 31 Jan 2026, In: Computers and Structures. 320, 108042.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (SciVal) -
Multi-Fidelity deep learning for predicting the nonlinear buckling behaviour of concrete thin-shells
Pollet, M., Shepherd, P. & Hawkins, W., 12 Mar 2026, (Acceptance date) In: Engineering Applications of Artificial Intelligence.Research output: Contribution to journal › Article › peer-review
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Concurrent optimization of truss structures and build directions for multi-axis additive manufacturing
Ye, J., Lin, X., Lu, H., He, L., Quan, G., Huang, C. & Shepherd, P., 15 Mar 2025, In: Engineering Structures. 327, 119680.Research output: Contribution to journal › Article › peer-review
Open Access7 Link opens in a new tab Citations (SciVal) -
Exploring Aerial Additive Manufacturing with Cementitious Materials using Autonomous Drones
Ball, R., Dams, B., Shepherd, P. & Chen, B., 13 Oct 2025. 3 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile3 Downloads (Pure) -
Physical structural assessment of a segmented concrete shell building floor prototype
Oval, R., Nuh, M., Castro e Costa, E., Orr, J. & Shepherd, P., 31 Dec 2025, In: Structural Concrete . 26, 6, p. 8419-8436 18 p.Research output: Contribution to journal › Article › peer-review
Open Access
Datasets
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Dataset for "Multi-objective optimisation of urban courtyard blocks in hot arid zones"
Ibrahim, Y. I. (Creator), Kershaw, T. (Supervisor) & Shepherd, P. (Supervisor), University of Bath, 16 May 2022
DOI: 10.15125/BATH-01137
Dataset
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Data relating to work concerning the development of a quaternary cementitious system for aerial additive manufacturing
Dams, B. (Creator), Ball, R. (Supervisor) & Shepherd, P. (Supervisor), University of Bath, 27 Nov 2023
DOI: 10.15125/BATH-00694
Dataset
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Dataset for "The Potential for Computational IT Tools in Disaster Relief and Shelter Design"
Kuchai, N. (Creator), Coley, D. (Supervisor), Holley, J. (Supervisor), Shepherd, P. (Supervisor) & Copping, A. (Supervisor), University of Bath, 17 Nov 2020
DOI: 10.15125/BATH-00712
Dataset
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Data relating to the development of pseudoplastic mortars for aerial additive manufacturing
Dams, B. (Creator), Ball, R. (Supervisor) & Shepherd, P. (Supervisor), University of Bath, 23 Feb 2024
DOI: 10.15125/BATH-00693
Dataset
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Dataset for the effective length of columns in multi-storey frames
Webber, A. (Creator), Orr, J. (Creator), Shepherd, P. (Creator) & Crothers, K. (Creator), University of Bath, 12 Aug 2015
DOI: 10.15125/BATH-00131
Dataset
Prizes
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ICE Howard medal
Dams, B. (Recipient), Ball, R. (Recipient), Shepherd, P. (Recipient) & Kovac, M. (Recipient), 15 Oct 2021
Prize: Prize (including medals and awards)
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9th European Congress on 3D printing & additive manufacturing
Ball, R. (Keynote speaker), Dams, B. (Contributor) & Shepherd, P. (Contributor)
7 Oct 2024 → 8 Oct 2024Activity: Academic conferences and events (excluding conference publications) › Keynote presentation or prestigious invited talk
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Royal Academy Of Engineering (External organisation)
Shepherd, P. (Reviewer)
2012 → …Activity: Other contribution to the discipline › Grant peer-review
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EU’s Horizon Europe (External organisation)
Shepherd, P. (Reviewer)
2021 → …Activity: Other contribution to the discipline › Grant peer-review