Summary
James Griffin is an accomplished manufacturing and controls researcher with over 20 years’ experience translating aerospace and defense-grade simulation, AI and DSP techniques into practical monitoring and automation for precision manufacturing. He holds a PhD in intelligent monitoring of grinding processes and has bridged industry and academia through roles from a Rolls-Royce research fellowship and senior engineering at MBDA and QinetiQ to senior academic posts across universities in the UK, Chile and Australia. His strengths lie in Matlab/Simulink-based modeling, signal acquisition/synchronisation, AI-driven classification (genetic algorithms, neural nets, ICA) and non-destructive testing for safety-critical structures. James uniquely applies missile-systems modeling methods to advanced machining and material characterisation, reinforcing theory with experimental validation. Now an Assistant Professor in Electronics and Computing, he is focused on merging AI, simulation and sensor fusion to create more robust control and monitoring systems for difficult aerospace alloys and automotive manufacturing. Based in Rochester, his background as a mathematician-inclined engineer underpins a pragmatic, research-led approach to industrial problem solving.
8 years of coding experience
21 years of employment as a software developer
BSc (hons) Artificial Intelligence and Mechatronics, BSc (hons) Artificial Intelligence and Mechatronics at The Open University
Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering, Doctor of Philosophy - PhD Aerospace Aeronautical and Astronautical Engineering at University of Nottingham
PGDip Electrical Machines and Management Sciences, PGDip Electrical Machines and Management Sciences at The University of Manchester
Spanish