ZIFENG GUO
Dr. sc. ETH Zürich
Doctor of Science, ETH Zürich2017 - 2022
Supervisor: Prof. Hovestadt, L., Dr. Leitao, J. P., Prof. Li, B.
How contemporary AI challenges the notion modeling in architecture
Master of Architecture, Southeast UniversitySEU2014 - 2017
Supervisor: Prof. Li, B.
Automatic generation of 3-D building layouts using evolutionary algorithms
Performance-driven optimization of building blocks
Bachelor of Architecture, Southeast UniversitySEU2009 - 2014
Rule-based generation of traditional Chinese villages
Computational Design Developer, STRABAG AGSTRABAG AG2022 - present
Full-time position
Develop generative design tools for early planning stages
Technical Consultant, Kozo Keikaku EngineeringKKE Japan2020
Part-time position during doctoral study (worked remotely)
Develop algorithms for optimizing commercial building layouts
Computational Designer, AESEU2014 - 2017
Part-time position during bachelor’s and master’s studies
Parametric design and digital fabrication of the building envelope of Nanjing Youth Olympic reception center
Parametric design and digital fabrication of two landscape installations
Postdoc Researcher, University of FloridaUF2022
Full-time position at SHARE Lab
3d structural forms generation from semantic text inputs using machine learning
Visiting Researcher, Technische Universität MünchenTUM2022
At Professur für Structural Design
3d structural forms generation from semantic text inputs using machine learning
Teaching Assistant, ETH Zürich2018 - 2020
Part-time position during doctoral study
Undergraduate elective cource of 2 credits (3 semesters)
Playing Models, University of FloridaUF2022
School of Architecture (with Prof. Saldaña Ochoa, K., Prof. Huang. L., and Dr. Bokhari, A.)
Research seminar on implementing AI and game engine in a design curriculum
Map & Models, ETH Zürich2019 - 2020
Department of Architecture (with Dr. Saldaña Ochoa, K.)
Theoretical and practical course on coding, artificial intelligence, and architecture for architecture undergraduate students
Course full name: CAAD Praxis: Map & Models
Semantic Urban Maps, ETH Zürich2018
Department of Architecture (with Dr. Saldaña Ochoa, K.)
Elective course on coding, object detection, and semantic urban maps for architecture undergraduate students
Course full name: CAAD Praxis: Cats in Zurich, Dogs in Berlin, Trees in New York, Object Localization for Semantic Maps in Urban Design
Chengdu: Slow & Fast, ETH Zürich2019
Seminar week, Department of Architecture (die Seminarwochen des D-ARCH)
Field trip on architecture and public spaces in the local urban and rural areas in Chengdu, China
Multi-Objective Optimization and Machine Learning for Climate-Friendly Building Design2023
with Dai, A., Zorn, M., Prof. Wortmann T., Wegerer, J. & Evers, F.
Research project Innovationsprogramm Zukunft Bau
Funded by Bundesinstitut für Bau- Stadt- und Raumforschung (BBSR) im Bundesamt für Bauwesen und Raumordnung
Project Number: 10.08.18.7-23.21
From texts to 3D structural forms2022
with Prof. Saldaña Ochoa, K., Prof. Mejia Puig, L., and Prof. D’Acunto, P.
UFII SEED Award Grant, University of FloridaUF
A Method for Automatic Planning of Workpiece Layout2019
with Prof. Li, B. and Li, H.
China National Intellectual Property AdministrationCNIPA
Patent Number: CN201910467496.6
Generative Design Methods for the Protection and Planning of Traditional Building Settlement2018
with Prof. Tang, P., Dr. Hao, H., Prof. Yu, C.
National Natural Science Foundation of China (NSFC) Grant
Award Number: 51778118
Computational Design and Digital Fabrication in Architecture2015
with Prof. Li, B., Dr. Hao, H., Prof. Yu, G.
National Natural Science Foundation of China (NSFC) Grant
Award Number: 51478116
Quantum rails2020
with Dr. Alvarez-Marin, D., Prof. Saldaña Ochoa, K. and Thorsteinsen, B.
2nd Price, in the Polyhack 2020 Online HackathonPolyhack 2020, ETH Zürich
Machine Learning for Object Detection from Aerial Imagery2018
with Dr. Saldaña Ochoa, K.
2nd Price, in the Open AI Challenge: Aerial Imagery, WeRobotics
China Scholarship Council Award2017
Award num. 201706090254
Outstanding Master Thesis Honor, SEU2017
Thesis title: Generative Approach for Architectural Layout Design Constrained by Topological Relationships (written in Chinese)
Southeast University, China
National Scholarship for Graduates2015 & 2016
For top 1% students
Awarded for the academic years of both 2015 and 2016
Southeast University, China
Computational Structural Design Supported by Machine Learning2023
with Prof. D’Acunto, P., Prof. Wortmann, T., Prof. Saldaña Ochoa, K., Bleker, L., Zorn., M.
Workshop in Future of Construction 2023 Symposium
Munich, Germany
From Text to 3d Structural Forms2023
with Prof. D’Acunto, T., Prof. Saldaña Ochoa, K., Bleker, L.
Invited Talk in Rhino User Webinar: ML Computational structural design workshop
McNeel, Spain
Enhancing Structural Form-finding through a Text-based AI Engine Coupled with Computational Graphic Statics2022
with Prof. D’Acunto, P., Prof. Saldaña Ochoa, K.
Talk in International Association for Shell and Spatial Structures (IASS 2022)
Beijing, China
From Simulation to Synthesis: Data-driven rapid urban flood prediction and flood-driven design with machine learning2022
Invited Talk in Resilience in Built Environment
University of Cuenca, Ecuador
An Archdaily Lexicon: Context-based Encoding of Architectural Images2022
Invited Talk in Playing Models, AI, Architecture and Story Telling
University of Florida, USA
Digital Architecture and Artificial Intelligence: A Paradigm Shift2021
Talk in 2021 ETH-SEU PhD Workshop and Forum
Southeast University, China
On Computational Models in Architecture2020
Invited Talk by Vector Archtiects
Beijing, China
From Simulation to Synthesis: Modeling and Synthesizing Architectural Simulations with Data-driven Computational Machines2019
Invited Talk by China Southwest Architecture
Chengdu, China
Data-Driven Synthesized Environmental Analysis of Architecture2019
Talk in 2019 ETH-SEU PhD Workshop and Forum
Southeast University, China
The Encoding of the Ji-Cun Village2016
Work Exhibition in The International Conference & Exhibition on Architectural Algorithms & Applications
Southeast University, China
Saldaña Ochoa, K., Huang, L. Guo, Z. & Bokhari, A. (2023). Playing dimensions: images / models / maps: conceptualizing architecture with big data and artificial intelligence. The 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA 2023), Conference proceeding pp.560-568
Ma, L., Guo, Z., Lu, M., He, S. & Wang, M. (2023). Developing an urban streetscape indexing based on visual complexity and self-organizing map. Building and Environment, 242, 110549, DOI: 10.1016/j.buildenv.2023.110549
Guo, Z., Saldaña Ochoa, K. & D‘Acunto, P. (2022). Enhancing structural form-finding through a text-based AI engine coupled with computational graphic statics. The symposium of the International Association for Shell and Spatial Structures (IASS2022), Conference proceeding pp.2086-2096
Guo, Z., Moosavi, V. & Leitao, J. P. (2022). Data-driven rapid flood prediction mapping with catchment generalizability. Journal of Hydrology, 609, 127726. DOI: 10.1016/j.jhydrol.2022.127726
Guo, Z., Li, B., & Hovestadt, L. (2021). Urban traffic modeling and pattern detection using online map vendors and self-organizing maps, Frontiers of Architectural Research, 10(4), 715-728. DOI: 10.1016/j.foar.2021.06.002
Cai, C., Guo, Z., Zhang, B., Wang, X., Li, B., & Tang, P. (2021). Urban morphological feature extraction and Multi-dimensional similarity analysis based on deep learning approaches. Sustainability, 13(12), 6859. DOI: 10.3390/su13126859
Guo, Z., Leitao, J. P., Simões, N. E., & Moosavi, V. (2021). Data‐driven flood emulation: Speeding up urban flood predictions by deep convolutional neural networks. Journal of Flood Risk Management, 14(1), e12684. DOI: 10.1111/jfr3.12684
Saldaña Ochoa, K. & Guo, Z. (2018). A framework for the management of agricultural resources with automated aerial imagery detection, Computers and Electronics in Agriculture, 162, 53-69. DOI: 10.1016/j.compag.2019.03.028
Guo, Z. & Li, B., (2017), Evolutionary approach for spatial architecture layout design enhanced by an agnet-based topology finding system, Frontiers of Architectural Research, 6(1), 53-62. DOI: 10.1016/j.foar.2016.11.003