Dr Josh Hoole
PhD, MEng
Expertise
Development of data-driven probabilistic and statistical simulations to support engineering design and assessment. My focus is on real-time aircraft tracking and capturing manufacturing variability in electrical machines.
Current positions
Senior Lecturer in Systems Engineering
School of Civil, Aerospace and Design Engineering
Contact
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Biography
Following the completion of an Aerospace Engineering (MEng) degree at the University of Bristol, I conducted a PhD within the Aerospace Engineering department focusing on the development and application of probabilistic methods for the fatigue analysis of safety-critical aerospace components. I then went on to apply this background in characterising manufacturing variability in electrical machine windings with the Electrical Energy Management Group (EEMG), before taking on the role of Lecturer in Systems Engineering within the Department of Aerospace Engineering in 2021. Going forward, I have a specific interest in researching how novel data sources, data analytics and probabilsitic/statistical simulation can be better integrated into industrial environments and design processes.
Research interests
Probabilistic design, statistical simulation, aircraft tracking, ADS-B trajectories, landing gear design, electric propulsion.
Projects and supervisions
Research projects
Data-Driven Aerospace Design through the Statistical Characterisation of the Search and Rescue Environment
Principal Investigator
Description
This project, funded by the Jean Golding Institute Seed Corn Call 2021-2022, aims to characterise the mission profile and environment for Search And Rescue (SAR) in the United Kingdom. This…Managing organisational unit
Dates
25/01/2022 to 05/07/2022
Publications
Recent publications
04/07/2025Characterising the Variability in Taxiway Turns of Regional Airliners using Air Traffic Data
11th European Conference for Aeronautics and Aerospace Sciences (EUCASS)
Utility and Challenges of Exploiting Flight Recorder Data for Ground Manoeuvre Characterisation During Landing Gear Fatigue Assessment
Proceedings of the 11th European Conference for Aeronautics and Aerospace Sciences (EUCASS)
X-Ray Computed Tomography Derived Turn Bundle Shapes and Transposition in Volume Manufactured Multistrand Random Windings
2025 IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)
Towards Data-Driven Strand Transposition Simulation of Multistrand Random Windings
2024 International Conference on Electrical Machines (ICEM)
Impact of operator characteristics on landing gear ground manoeuvre occurrences
The Aeronautical Journal
Thesis
Probabilistic Fatigue Methodology for Aircraft Landing Gear
Supervisors
Award date
23/06/2020
Teaching
AVDASI4 Group Design Project
Undergraduate Research Projects
Related people
Dr Nick Simpson
Professor of Electrical Machines
School of Electrical, Electronic and Mechanical Engineering
Professor Jonathan Cooper
RAEng Airbus Sir George White Professor of Aerospace Engineering
School of Civil, Aerospace and Design Engineering
Professor Julian Booker
Professor of Mechanical Design Engineering
School of Electrical, Electronic and Mechanical Engineering
Professor Phil Mellor
Professor of Electrical Engineering
School of Electrical, Electronic and Mechanical Engineering
Mr Dominic North
Research Associate
School of Electrical, Electronic and Mechanical Engineering