John has published papers in IEEE Transactions on Vehicular Technology relating to drone collision avoidance solutions for detecting and avoiding aerial scenarios based on lightweight electronic conspicuity devices. John specialises in advanced visualisation of photogrammetry 3D point clouds in virtual reality to optimise and automate labour-intensive workflows to increase productivity. Teaching roles include Industry 4.0 CPD courses for manufacturing SMEs and delivering Model Rocketry workshops for UCLan’s Aerospace Society.
John has over 20 years of experience applying technology and computer engineering to solve practical problems and generate value for customers. Previously, John worked for a Robotics & Automation control software company, helping medium-to-large enterprises across a wide range of industrial sectors to develop and commission bespoke automated machinery.
As a graduate student, John applied artificial intelligence to aerial drones and embedded systems to allow them to learn how to self-optimise for multiple objectives. Other present roles include teaching, applied research, project management, software development & IDT (Industrial Digitalisation Technologies) consultancy.
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