Summary
Sophia Bano is an Associate Professor in Robotics and AI at UCL with a decade of experience developing computer vision and AI methods for context-aware, minimally invasive and robot-assisted surgery. Her work spans academic leadership and translational research within UCL’s WEISS and Surgical Robot Vision group, contributing to high-impact projects such as GIFT-Surg and CARES. She brings a strong international training background—BEng and MSc from NUST, an Erasmus Mundus MSc in Computer Vision and Robotics, and a joint PhD from Queen Mary and UPC—paired with hands-on surgical robotics experience from Imperial College and clinical collaboration at UCLH. Sophia’s research uniquely bridges machine consciousness, navigation, and augmented-reality context awareness for surgical workflows, combining multi-sensor perception and motion-aware multimedia techniques developed during her PhD. Colleagues value her ability to translate complex vision algorithms into clinically relevant tools that improve intraoperative situational awareness.
10 years of coding experience
11 years of employment as a software developer
Heriot-Watt University Edinburgh Campus
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at Queen Mary University of London
Master’s Degree, Master’s Degree at Université de Bourgogne
UPC Universitat Politècnica de Catalunya
Master’s Degree, Master’s Degree at National University of Sciences and Technology (NUST)
Master’s Degree, Master’s Degree at Universitat de Girona