Summary
Alex Shenfield is a Professor of Machine Learning at Sheffield Hallam University with nine years of focused academic leadership and a longer track record in embedded systems and intelligent control. He leads research on applying ML to real-world problems across healthcare, manufacturing, and heritage archives, delivering industry-facing projects in sustainable baking, Industry 4.0 inspection, and ICU early-warning systems. His background spans hands-on engineering — commissioning a 64-core HPC cluster and developing parallel image-processing code — through to supervising KTP collaborations that translate models into commercial control systems. He teaches embedded systems, IoT enabling technologies, and software engineering, bridging theory and practical deployment. Alex combines deep expertise in evolutionary and neural approaches with applied anomaly detection for machine health and network security. His public profiles and publications keep a curated record of applied ML work, though much of his prototype code is held privately for commercial sensitivity.
9 years of coding experience
9 years of employment as a software developer
PhD, Grid Enabled Optimisation using Evolutionary Algorithms, PhD, Grid Enabled Optimisation using Evolutionary Algorithms at The University of Sheffield