YAO Chaowen
Architect, Urban Planner, Landscape Architect
Yao Chaowen at present is a PhD candidate at Aalto University.
His research focuses on urban carbon neutrality and climate resilience in the context of smart cities. His main research interests include computation and real-time simulation of urban vegetation carbon capture under the context of digital twins and virtual reality, urban tree information collection based on point cloud and remote sensing technologies, as well as simulation of urban thermal and wind environments.
CV
Education
School of Arts, Design and Architecture @ Aalto University
08.2022 – 08.2026
PhD Candidate
From Data to Decarbonization
Novel Simulation Plugins for Urban Decarbonization Design under Digital Twins
Urban Studies and Planning @ Aalto University
09.2018 – 12.2020
Msc in Architecture
32°C Hellsinki — Outdoor Thermal Comfort Studies and Urban Mitigating Strategies Based on Helsinki Context
Urban-rural Planning @ Wuhan University
09.2013 – 06.2018
Bsc in Engineering
Research on Ventilation and Haze Planning Method Based on Urban Form — Wuhan City as the example
Research field
Urban Environment
Climate Resilience
Urban Digital Twin
Point Cloud
Publication
Yao, C., et al. (under Review). Multi-Source LiDAR Quantifies the Built Environment as a Deterministic Constraint on Tree Carbon Growth.
Yao, C., Fabritius, H., Fricker, P., Dembski, F. (2024). Research Note: Multi-Algorithm-Based urban tree information extraction and Its applications in urban planning, Landscape and Urban Planning, Volume 253,105226, ISSN 0169-2046.
Yao, C., Fricker, P. (2024). Neural Network-Driven 3D Generation of Urban Trees : Advancing carbon mitigation simulation through detailed tree modeling from point cloud data, Proceedings of eCAADe, Vol. 1, pp. 605-614.
Yao, C., Fricker, P. (2024). Building Green Decarbonization for Urban Digital Twin – Estimating Carbon Sequestration of Urban Trees by Allometric Equations using Blend Types of Point Cloud, Proceedings of SIGraDi, pp. 91-102.
Yao, C., Fricker, P. (2021). How to Cool Down Dense Urban Environments? A Discussion on Site-Specific Urban Mitigating Strategies. Journal of Digital Landscape Architecture, 6, 101-111. https://doi:10.14627/537705007.
Fabritius, H., Tuulik, T., Kupper, K., Nummi, P., Prilenska, V., Yao, C. (2023). Varying data on urban greenery complicates the development of a green information model for urban digital twins. Conference of Computational Urban Planning and Urban Management.
Work & Research
Researcher
12.2025 – Present
Unit: Aalto University
Project: Adaptive Design for AI-Driven Processes in Transforming Dynamic Landscape
09.2022 – 04.2025
Unit: Aalto University & Iceland University
Project: Trufiction – from Datapoints to Immersive Experiences
09.2021 – 04.2023
Unit: Academy of Architecture & Urban Studies, Taltech University
Project: Urban Green Twins Research
Teacher
09.2024 – Present
Unit: School of Arts, Design and Architecture, Aalto University
Case: Computational Design Studio
06.2023 – 07.2023
Unit: School of Arts, Design and Architecture, Aalto University
Worshop: Aalto-Tongji Joint Workshop – Urban Design Speculation for Taizhou City
Visiting Researcher
11.2023 – 12.2023
Site: Singapore University of Technology and Design (SUTD)
Reviewer
12.2024 – Present
Case: HCI International Conference
AWARD
06.2021 – Scientific Merit Award on the Journal of Digital Landscape.
11.2017 – Excellent Project of National Training Program of Innovation and Entrepreneurship for Undergraduates.
09.2017 – Outstanding Award of National Urban and Rural Planning Major Social Practice Report Competition.
Software skill
Coding:
Python
GIS:
ArcGIS
QGIS
SagaGIS
Point Cloud:
Cloud Compare
Riscan Pro
Agisoft
Drone2Map
Simulation:
ENVI-met
GAMA
Game:
Unreal Engine
Modeling:
Auto-CAD
Archicad
Revit
SketchUp
Rhino
Blender
Render:
V-ray
Lumion
Other:
Adobe Suite
Office Suite
YAO Chaowen 