Rate My Professor Mike Chanter

Chantler’s research focuses on computer vision, human perception and interaction, machine learning to extract meaning from data while promoting user trust via transparent data provenance, psychophysics, data visualisation, and ethical crowd-sourcing. Current projects include strategic thematic summaries of large project portfolios and smart support for research landscaping and strategy development meetings involving up to 100 stakeholders. He developed the Well Sorted tool for creating and structuring research landscapes and brainstorming meetings. Chantler has shaped UK research strategy through service on numerous EPSRC, ESRC, Data Lab, and InnovateUK prioritisation panels, including the EPSRC ICT Strategic Advisory Team and Digital Economy’s Portfolio Advisory Board. Awards include Honourable Mentions at ACM CHI 2017 and ACM DIS 2017, Research Team of the Year 2022, and Visualising Covid-19 Research improved by Google Cloud 2020. Key publications are “A Review of LLM-Assisted Ideation” (2025), “The Importance of Phase to Texture Discrimination and Similarity” (2020), “Visualising COVID-19 Research” (2020), “Survey of Procedural Methods for Two-Dimensional Texture Generation” (2020), and “A Two-Stage Learning Framework with a Beam Image Dataset for Automatic Laser Resonator Alignment” (2026).