Rate My Professor Shigang Yue

Professor Yue's research specializations include artificial intelligence, computer vision, robotics, brains, neuroscience, biological visual neural systems, bio-inspired visual neural networks, and their applications to autonomous robots, vehicles and systems, as well as medical image analysis, machine learning, and swarm intelligence. He has published more than 200 journal and conference papers in these fields. Key publications encompass "Bio-inspired small target motion detection with spatio-temporal feedback in natural scenes" (IEEE Transactions on Image Processing, 2023), "An insect-inspired model facilitating autonomous navigation by incorporating goal approaching and collision avoidance" (Neural Networks, 2023), "A robust visual system for looming cue detection against translating motion" (IEEE Transactions on Neural Networks and Learning Systems, 2022), "A decentralised neural model explaining optimal integration of navigational strategies in insects" (eLife, 2020), and "A Robust Collision Perception Visual Neural Network with Specific Selectivity to Darker Objects" (IEEE Transactions on Cybernetics, 2019). He has chaired international conferences, sits on editorial boards, acts as a reviewer for reputable journals, is a member of the EPSRC peer review college, has coordinated several EU FP7 and Horizon 2020 projects, and has examined 20 PhD theses and 2 MSc by Research as an examiner. His contributions have earned him the Alexander von Humboldt Research Fellowship (2000-2001), and his work is cited over 5,500 times according to Google Scholar, demonstrating significant impact in bio-inspired systems for robotics and AI.