Rate My Professor Roderick Murray-Smith

His research lies at the intersection of machine learning, interaction design, and control theory, encompassing closed-loop data science, machine learning in science, mobile human-computer interaction, dynamic systems, probabilistic inference, Gaussian processes, gesture recognition, and brain-computer interfaces. He leads prominent funded projects, including the ERC Advanced Grant DIFAI: Designing Interaction Freedom via Active Inference (2023-2029, €2.5M), EPSRC grant for Quantum Imaging for Monitoring of Wellbeing and Disease in Communities (EP/T021020/1, 2020-2025, £5.65M), QuantIC Quantum Technology Hub in Quantum Imaging (EPSRC, 2016-2024), and Closed-loop Data Science (EPSRC, 2018-2023, £3M). Murray-Smith has edited books such as Switching and Learning in Feedback Systems (Springer, 2005), Haptic Human-Computer Interaction (Springer, 2001), and Multiple Model Approaches to Modelling and Control (Taylor & Francis, 1997). Key publications include Active Inference and Human-Computer Interaction (ACM TOCHI, 2025), Intermittent Active Inference (Entropy, 2026), and Incremental Guided Attention Fusion for Depth Super-Resolution (Sensors, 2025). He collaborates with industry partners including Nokia, Samsung, Bang & Olufsen, and Microsoft, and served on Nokia's Scientific Advisory Board and the EC-COST Action IC0601 management committee on Sonic Interaction Design.