Zhendong Yuan

Zhendong Yuan is a Postdoctoral Researcher at Heidelberg University, Germany. His research focuses on applying GeoAI, remote sensing, and GIS to environmental health, with an emphasis on high-resolution exposure assessment. His expertise includes developing AI-driven methods to map urban environmental factors such as air pollution, noise, heat, and greenness using street-view imagery, satellite data, and mobile sensing. His work aims to improve exposure assessment and support data-driven public health prevention and urban planning.

During his PhD in Exposome-NL at Utrecht University, Zhendong developed hyper-local air pollution models using mobile monitoring campaigns with sensors mounted on vehicles. His research combined mobile measurements, machine learning, GIS, and street-view imagery to produce high-resolution air pollution maps across multiple European cities. His work contributed to improving personal exposure assessment and advancing scalable methods for exposome research.

Exposome-NL enabled me to bridge GeoAI and environmental health to advance next-generation exposure assessment.

Publications

Advancing Air Pollution Exposure Models with Open-Vocabulary Object Detection and Semantic Segmentation of Street-View Images

Zhendong Yuan, Jules Kerckhoffs, Pi-i Debby Lin, Esra Suel, Hao Li, Li Yi, Marcia Pescador Jimenez, Peter James, Kees de Hoogh, Gerard Hoek, Roel Vermeulen
Environmental Science & Technology (2025)

LUR modeling of long-term average hourly concentrations of NO2 using hyperlocal mobile monitoring data

Zhendong Yuan, Youchen Shen, Gerard Hoek, Roel Vermeulen, Jules Kerckhoffs
Science of The Total Environment, Volume 922 (2024)

Hyperlocal variation of nitrogen dioxide, black carbon, and ultrafine particles measured with Google Street View cars in Amsterdam and Copenhagen

J. Kerckhoffs, J. Khan, G. Hoek, Z. Yuan, O. Hertel, M. Ketzel, S. Solvang Jensen, F. Al Hasan, K. Meliefste, R. Vermeulen
Environment International (170), December 2022

A Knowledge Transfer Approach to Map Long-Term Concentrations of Hyperlocal Air Pollution from Short-Term Mobile Measurements

Z. Yuan, J. Kerckhoffs, G. Hoek, R. Vermeulen
Environ Sci Technol . 2022 Sep 19. doi: 10.1021

Integrating large-scale stationary and local mobile measurements to estimate hyperlocal long-term air pollution using transfer learning methods

Zhendong Yuan, Jules Kerckhoffs, Youchen Shen, Kees de Hoogh, Gerard Hoek, Roel Vermeulen
Environmental Research Volume 228, 1 July 2023, 115836

Mixed-Effects Modeling Framework for Amsterdam and Copenhagen for Outdoor NO 2 Concentrations Using Measurements Sampled with Google Street View Cars

Jules Kerckhoffs, Jibran Khan, Gerard Hoek, Zhendong Yuan, Thomas Ellermann, Ole Hertel, Matthias Ketzel, Steen Solvang Jensen, Kees Meliefste, Roel Vermeulen
Environment Science and Technology, March 2022

Environmental risk factors of type 2 diabetes-an exposome approach

Beulens JWJ, Pinho MGM, Abreu TC, den Braver NR, Lam TM, Huss A, Vlaanderen J, Sonnenschein T, Siddiqui NZ, Yuan Z, Kerckhoffs J, Zhernakova A, Brandao Gois MF, Vermeulen RCH.
Diabetologia. 2021 Nov 18.

Zhendong Yuan

z.yuan@uni-heidelberg.de

Decoding the exposome

Decoding the exposome

The environment we live in has a dominant impact on our health. It explains an estimated seventy percent of the chronic disease burden. Where we live, what we eat, how much we exercise, the air we breathe and whom we associate with; all of these environmental factors play a role. The combination of these factors over the life course is called the exposome. There is general (scientific) consensus that understanding more about the exposome will help explain the current burden of disease and that it provides entry points for prevention and ...

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