معرفی
Dr. Fangce Guo is a Senior Lecturer in the Department of Civil and Environmental Engineering at Imperial College London, part of the Faculty of Engineering. She is affiliated with the Urban Systems Lab and the Centre for Transport Engineering and Modelling. Her research bridges pedagogical strategies and transportation systems, focusing on peer learning's impact on interdisciplinary self-efficacy and technical areas like short-term traffic forecasting and ITS applications.
Education includes a PhD in Intelligent Transport Systems (Imperial College London), MSc in Communications and Signal Processing, and a Master in Education (both from Imperial College London). She also holds a BS in Electronic/Information Engineering from Dalian University of Technology.
Her technical research emphasizes sensor data analysis, traffic state estimation, and car park management within ITS. Notable projects include the Wellcome Trust-funded urban health initiative to reduce health inequalities and the Innovate UK-backed oneTRANSPORT project, developing IoT platforms for predictive transport analytics.
- Awards: Fellowship of the Higher Education Academy (2022).
- Teaching Qualifications: Postgraduate Certificate (2021) and Diploma (2022) in University Learning and Teaching.
- Grants: Wellcome Trust (Urban Health Project), Innovate UK (oneTRANSPORT).
Her work integrates machine learning and traffic engineering to address urban mobility challenges, with a focus on autonomous vehicles, energy-efficient systems, and real-time traffic management.