Dr John Pinder
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John conducts Research and Development in the field of A.I. Aerial Robotics and Automation to help support Lancashire SMEs to unlock the potential of utilising drone products in their business. John helps businesses understand how drones and drone-related technology can help streamline processes, save costs and increase safety. John’s work extends to the application of Drone related services and can also support the design, prototype and testing of new products to improve profitability.
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.
- Data Scientist
- PhD Autonomous Systems & Advanced Robotics, University of Salford, 2016
- MSc Robotics & Automation, University of Salford, 2011
- BSc (Hons) Artificial Intelligence, 2009
- Model Rocketry
- Virtual Reality
- Metaverse Creation
- Internet of Things (IoT)
- Home Automation
- Mobile Robotics
- Embedded Systems Design
- Smart Agriculture
- Computer Vision
- Drone Videography/Photogrammetry
- Fly Fishing
- Skiing
- Cycling & Scuba Diving
- Data Analytics Group - Advanced Digital Manufacturing Technology Research Center (DigitMe2)
- Drones Transport Research and Innovation Grants (TRIG: Drones) £30,000, 2022
Email: Email:Dr John Pinder