ZIFENG GUO

Dr. sc. ETH Zürich

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Education

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

Work Experiences

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

Academic Experiences

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)

Teaching

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

Fundings & Patents

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

Awards

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

Activities & Invited Talks

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

Publications

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

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