About Me
I am currently pursuing my Ph.D. at University College London (UCL). My research focuses on Augmented Reality (AR) for Pedestrian Navigation, specifically improving pedestrian experiences in AR navigation through Computer Vision (CV) methods. This work is funded by UK Research and Innovation (UKRI)/Engineering and Physical Sciences Research Council (EPSRC), in collaboration with Ordnance Survey (OS), and supported by the UCL International Scholar Doctoral Training Award (ISAD). The research is supervised by Prof. Jan Boehm (UCL), Dr. James Haworth (UCL), and Dr. Stefano Cavazzi (OS), and is part of the 3DIMPact and SpaceTimeLab research groups.
Research Interests
Skills
Education
Ph.D. in Augmented Reality and Computer Vision
University College London (UCL), 2023-Present
Research focus: Computer Vision Enhancing AR-based Pedestrian Navigation
M.Sc. in Geospatial Science
University College London (UCL), 2021-2022
Distinction with Top Graduate Award
Experience
Graduate Teaching Assistant
University College London, Sep 2023-Present
Providing teaching support for core modules including Robot Vision and Navigation, Applied Building Information Modelling, Spatial Analysis of Energy Data, and Consumer Behaviour and Market Demand
Guest Teacher
University College London, Mar 2024-Dec 2024
Delivering specialised lectures in Spatial-Temporal Data Analysis and Data Mining, Spatial Analysis of Energy Data, and Machine Learning and Predictive Data Analytics
MSc Supervisor
University College London, Apr 2024-Oct 2024
Supervising postgraduate research projects in Geospatial Science and Spatio-temporal Analytics with Big Data Mining applications
Co-Founder
Maozhua Network, May 2023-May 2024
Co-founded a startup company specialising in Large Language Model applications, overseeing technical architecture and product development
Service
Peer Reviewer
Serving as a peer reviewer for journals and conferences, including BMVC 2024, Machine Vision and Applications, The Visual Computer, and The Journal of Supercomputing
Workshop Organiser
Organising international academic workshops on Deep Learning for Urban Analytics (GIScience 2023), Computer Vision Applications of AI (SGAI AI-2024), and Machine Vision for Earth Observation and Environment Monitoring (BMVC 2024)
Conference Volunteer
Volunteer at the 30th International Conference on Geoinformatics (2023), supporting event organisation and coordination