Zhendong Yuan

Zhendong is an exposome-nl PhD candidate specializing in the field of mapping external exposome factors at fine spatiotemporal resolution. In particular, he applies machine learning (ML) and GIS methods to investigate the complex interaction between human activities and the surrounding geographic context in urban areas. He is also interested in topics related to global health risk assessment, remote sensing for humanitarian aid, and adapting ML algorithms in spatial Big Data processing.

Projects

I.A 1 Geospatial modelling and spatially resolved maps

I.B 1 Measuring the Specific External Exposome

Publications

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

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.