Projects per year
Organisation profile
Organisation profile
The Centre for Engineering Research (CER) delivers excellent research and high-quality innovation where original ideas, fundamental and applied knowledge push and continue to develop the frontiers of engineering science in both outputs and impact.
Research at CER cuts across multiple disciplines drawing together more than 40 academic and research staff and over 70 PhD and EngD students from electrical and electronic, material and manufacturing, civil, aeronautics and mechanical engineering and their associated disciplines. These include power, embedded systems, communications, information engineering, materials, aerospace and civil structures, energy, microfluidics, microengineering and bioengineering.
The Centre comprises of two research groups (Materials and Structures; Energy and Sustainable Manufacturing) mapping into five university-wide research themes and the UKRI and industrial strategy grant challenges.
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Collaborations and top research areas from the last five years
Profiles
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Life Cycle Assessment of Digitally Manufactured 3D Printed Shape-Optimised Concrete Shell floors
Jayasinghe, A. (PI)
30/09/26 → 30/09/28
Project: Research
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Environmental biomarker diagnostics: airborne lactate for real time health monitoring
Coudron, L. (PI) & Tian, J. (CoI)
UKRI - Engineering and Physical Sciences Research Council (EPSRC)
1/09/26 → 28/02/27
Project: Research
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Three-dimensional and immersive visualisation for flood risk communication: a critical review of mechanisms, evidence and evaluation
Kaleshani, F., Jelodar, M., Piadeh, F., Wilkinson, S. & Balaei, B., Dec 2026, In: Progress in Disaster Science. 32Research output: Contribution to journal › Review article › peer-review
Open Access -
Study on Improving Internal Temperature Control Performance of Refrigerated Trucks in Temperate regions based on external phase change panels
Zhang, Y., Zhang, Z., Zhou, J., Liang, X., Wu, H. & Mao, R., Oct 2026, (Accepted/In press) In: Applied Thermal Engineering.Research output: Contribution to journal › Article › peer-review
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AI-assisted framework using physically informed rainfall–drainage features for real-time urban flood risk forecasting
Piadeh, F., Bakhtiari, V., Behzadian, K. & Piadeh, F., 30 Sept 2026, In: Journal of Hydrology. 677, 18 p., 135819.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Downloads (Pure)