
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
20/05/2026Aeroacoustic Analysis of Propellers Operating in Both Hovering and Edgewise Flow Conditions using A GPU-Accelerated Vortex Particle Method Solver
32nd AIAA/CEAS Aeroacoustics Conference
An Adjoint Approach for Rapid Coupled Aerodynamic and Aeroacoustic Optimisation of Aerofoils
32nd AIAA/CEAS Aeroacoustics Conference (2026)
Numerical Investigation of Rotor Aeroacoustics in Non-Axial Inflow Conditions using the Lattice Boltzmann Method
32nd AIAA/CEAS Aeroacoustics Conference
A graph-based multi-agent approach for Wind Farm Flow Control using reinforcement learning
Renewable Energy
Characterization of Multimodality in Wind Farm Layout Optimization
Energy Science and Engineering
Thesis
Efficient Optimisation Methods for Generic Aerodynamic Shape Optimisation
Supervisors
Award date
06/11/2017



