Summary
Yu Guan is an Associate Professor at the University of Warwick with a decade of experience developing robust machine learning methods for practical applications such as activity recognition, wearable computing, AI healthcare and biometrics. His work bridges core research in computer vision and time-series modelling with real-world deployments, informed by a PhD on gait recognition and a background in wearable sensor data. He has held academic roles from postdoc to lecturer and now leads research translating deep learning and signal-processing advances into resilient, field-ready systems. As an associate editor for ACM IMWUT he helps shape interdisciplinary research at the intersection of ubiquitous computing and machine learning. Colleagues describe him as methodical and application-focused, often prioritizing robustness and interpretability in noisy, real-world datasets.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Vision based Human Gait Recognition, Doctor of Philosophy (PhD), Computer Vision based Human Gait Recognition at University of Warwick