
Dr Daniel Poole
MEng, PhD
Expertise
Developing advanced optimisation technologies for simulation-driven engineering optimisation. Development includes global and gradient-based optimisation, multi-physics coupled simulation, application to aerospace, renewables, etc
Current positions
Senior Lecturer
School of Civil, Aerospace and Design Engineering
Contact
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Biography
Dr. Poole is currently a Senior Lecturer in the Department of Aerospace Engineering, where his research considers developing advanced techniques for simulation and design of multi-physics coupled engineering systems. He is the Deputy Programme Director in the Aerospace Engineering Department and a current member of the University of Bristol Senate. He is a Fellow of the Higher Education Academy and is enthusastic about engineering education. Dr. Poole obtained his PhD from the University of Bristol in 2017 under the supervision of Prof Chris Allen and Dr Tom Rendall. The body of this work involved developing methods to allow high-fidelity global optimisation of aerodynamic shapes (e.g. aerofoils, wings and turbine blades). He has collaborated externally with, for example, Leonardo Helicopters, DNV, Zenotech on simulation and optimisation projects.
Queries about postgraduate study or postdoctoral research can be made to d.j.poole@bristol.ac.uk.
Projects and supervisions
Thesis supervisions
Publications
Recent publications
01/02/2026Characterization of Multimodality in Wind Farm Layout Optimization
Energy Science and Engineering
Large eddy simulation in optimization of fan-shaped cooling holes using modal subdivision design variables
International Communications in Heat and Mass Transfer
Modal analysis of subdivision surfaces for aerodynamic shape parameterisation
AIAA AVIATION FORUM AND ASCEND 2025
Time-Accurate Wind Farm Control in Dynamic Flow Conditions using Deep Reinforcement Learning
Wake Conference 2025
Experimental Investigation of Propeller Noise from a 10% Scale Half-Model eVTOL Aircraft
Thesis
Efficient Optimisation Methods for Generic Aerodynamic Shape Optimisation
Supervisors
Award date
06/11/2017



