About Me
My name is Natchapon Jongwiriyanurak, though I also go by “Pong”. I am a PhD Candidate at SpaceTimeLab, Department of Civil, Environmental and Geomatic Engineering, UCL, supervised by Dr James Haworth and Dr Nicola Christie. My research explores how advanced methods can be applied to real-world challenges in the built environment, with a particular focus on GIScience, multimodal data and models for applications in transportation and urban analytics. I was a visiting PhD student at the Applied Geotechnologies Research Group, CINTECX, UVigo.
I am currently completing my PhD and am open to research opportunities and collaborations at the intersection of GIScience, computer vision, and LLMs, particularly in human-centred applications across cities, transportation, public health, urban planning, active mobility, and related areas.
News
- [May. 2026] Another work from 100 cyclists project accepted in IET ITS
- [April. 2026] Our qualitative paper accepted in Traffic Injury Prevention
- [Mar. 2026] Our paper accepted in Infrastructure
- [Jan. 2026] I am a visiting PhD student at Applied Geotechnologies Research Group Research, CINTECX, UVigo
- [Dec. 2025] CLIP the landscape is accpeted in Remote Sensing Applications: Society and Environment
- [Sept. 2025] A paper is accpeted in Accident Analysis and Prevention
- [Aug. 2025] Into the Unknow is accpeted at SigSpatial
Recent Publications
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RSASE
Remote Sensing Applications: Society and Environment -
SIGSPATIAL
33rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2025) -
AAAP
Accident Analysis & Prevention -
ICCVW
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops
Teaching Experience
I have contributed to teaching at UCL across several undergraduate and postgraduate modules as a Postgraduate Teaching Assistant (PGTA) and Guest Lecturer:
- CEGE0012: Scenarios in Civil Engineering
- CEGE0014: Surveying and Field Studies
- BENV0093: Spatial Analysis of Energy Data
- BENV0145: Data Analytics in the Smart Built Environment
- BENV0159: Machine Learning and Predictive Data Analytics
- CEGE0097: Spatial Analysis and Geocomputation
- CEGE0042: Spatial-Temporal Data Analysis and Data Mining (STDM)
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