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Dr Dan Luo
Dr

Dan Luo

Email: 
Phone: 
+61 7 334 61205

Overview

Background

Dr Dan Luo is a designer and architectural researcher with a strong foundation in computer science. She earned a PhD in Architecture from Tsinghua University (2019), Master of Architecture from Columbia University (2014), and an MSc in Computer and Information Technology at the University of Pennsylvania(2023).

Dr Luo’s scholarship centers on digital design and robotic construction. After practicing at the pioneering firm UNStudio, she has focused on integrating advanced fabrication technologies with design build workflows to envision the future of automated construction. Her work has been published in leading journals and conference proceedings, and the robotic systems she developed have been deployed on active building sites.

Dr Luo is also a key researcher within the ARC Advance Timber Hub, Blue Economy CRC, Sustainable Built Environment National Research Centre, and Transport Academic Partnership Project, leading projects with public agencies and academic partners. Her extensive collaborations span international networks of partners. Her projects have been exhibited at the Milan Triennial, the Architecture Center New York, and the China Millennium Monument. From 2014 to 2019, she served as Director of International Collaboration for the China Building Centre, where she curated international design competitions and educational programs for universities, developers, and government agencies.

Availability

Dr Dan Luo is:
Available for supervision

Qualifications

  • Bachelor of Arts (Architecture), University of Hong Kong
  • Masters (Coursework) of Architecture, Columbia University in the City of New York
  • Doctor of Philosophy, Tsinghua University
  • Masters (Coursework) of Computer Science and Information Technology, University of Pennsylvania

Research interests

  • Artificial Intellegence and Material Computation

    Developing smart material system with AI and computer vision

  • Robotic Fabrication

    Application of robotic automation for mass customization and adaptive construction.

  • Urban Data Analysis

    Develop data analytic method for informing urban development strategy

Research impacts

Workshops

2020 CAADRIA pre-conference workshop - Machine vision and smart material processing

2018 Tsinghua Architecture Summer School Parametric Design Workshop - AI enhanced robotic 3D printing

2017 DADA international conference - Swarm Nest 5.0

2016 Milan Triennale X - Swarm Nest interactive installation

2016 Tsinghua Architecture Summer School Parametric Design Workshop - Human Centric Digital Farication

2015 Tsinghua Architecture Summer School Parametric Design Workshop - Metatool

Curation and Exhibition Design

10/2016 The Brick Trumpet, Beijing Design Week 2016

08/2016 Swarm Nest 1.0, Milan Triennale 2016

05/2016 Quasicrystal flower vest, ROBOTIC FUTURE Exhibition of Shanghai Biennale 2016

05/2015 New York – Beijing – New York Chinese Contemporary Architecture Exhibition, AIA Center for Architecture, New York, Exhibition Design

09/2014 Exhibition designer CBC Contemporary Chinese Architecture and Beyond Architecture, China Millennium Monument, Beijing, Exhibition Design

12/2007 Populated Furniture, Hong Kong Shenzhen Bi-city Biennale 2008

Works

Search Professor Dan Luo’s works on UQ eSpace

41 works between 2017 and 2025

21 - 40 of 41 works

2022

Conference Publication

Sensing the City: Leveraging geotagged social media posts and street view imagery to model urban streetscapes using deep neural networks

Aman, Jayedi, Matisziw, Timothy C., Kim, Jong Bum and Luo, Dan (2022). Sensing the City: Leveraging geotagged social media posts and street view imagery to model urban streetscapes using deep neural networks. 27th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, Sydney, NSW, Australia, 9 – 15 April 2022. Hong Kong: Association for Computer-Aided Architectural Design Research in Asia. doi: 10.52842/conf.caadria.2022.1.595

Sensing the City: Leveraging geotagged social media posts and street view imagery to model urban streetscapes using deep neural networks

2022

Other Outputs

Weaving Tectonics - structural performance-based carbon fibre weaving installations

Luo, Dan, Bao, Dingwen and Xin, Zhuoyang (2022). Weaving Tectonics - structural performance-based carbon fibre weaving installations . Melbourne, Australia: NGV Melbourne Design Week 2022.

Weaving Tectonics - structural performance-based carbon fibre weaving installations

2022

Journal Article

Associations between street-view perceptions and housing prices: subjective vs. objective measures using computer vision and machine learning techniques

Xu, Xiang, Qiu, Waishan, Li, Wenjing, Liu, Xun, Zhang, Ziye, Li, Xiaojiang and Luo, Dan (2022). Associations between street-view perceptions and housing prices: subjective vs. objective measures using computer vision and machine learning techniques. Remote Sensing, 14 (4) 891, 891. doi: 10.3390/rs14040891

Associations between street-view perceptions and housing prices: subjective vs. objective measures using computer vision and machine learning techniques

2022

Conference Publication

Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances

Su, Nanxi, Qiu, Waishan, Li, Wenjing and Luo, Dan (2022). Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances. 18th International Conference of Advanced Data Mining and Applications, ADMA 2022, Brisbane, QLD Australia, 28–30 November 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22064-7_18

Quantifying Association Between Street-Level Urban Features and Crime Distribution Around Manhattan Subway Entrances

2022

Book Chapter

Process and evaluation of automated robotic fabrication system for in-situ structure confinement

Kumar, B. Bala Murali, Hsueh, Yun Chung, Xin, Zhuoyang and Luo, Dan (2022). Process and evaluation of automated robotic fabrication system for in-situ structure confinement. Proceedings of the 2021 DigitalFUTURES: the 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021). (pp. 368-379) edited by Philip F. Yuan, Hua Chai, Chao Yan and Neil Leach. Singapore, Singapore: Springer . doi: 10.1007/978-981-16-5983-6_34

Process and evaluation of automated robotic fabrication system for in-situ structure confinement

2022

Conference Publication

The Coherence and Divergence Between the Objective and Subjective Measurement of Street Perceptions for Shanghai

Song, Qiwei, Li, Meikang, Qiu, Waishan, Li, Wenjing and Luo, Dan (2022). The Coherence and Divergence Between the Objective and Subjective Measurement of Street Perceptions for Shanghai. 18th International Conference of Advanced Data Mining and Applications, ADMA 2022, Brisbane, QLD Australia, 28–30 November 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22064-7_19

The Coherence and Divergence Between the Objective and Subjective Measurement of Street Perceptions for Shanghai

2021

Journal Article

Additive fabrication of large-scale customizable formwork using robotic fiber-reinforced polymer winding

Ou, Ya, Bao, Ding-Wen, Zhu, Guan-Qi and Luo, Dan (2021). Additive fabrication of large-scale customizable formwork using robotic fiber-reinforced polymer winding. 3D Printing and Additive Manufacturing, 9 (2), 109-121. doi: 10.1089/3dp.2020.0358

Additive fabrication of large-scale customizable formwork using robotic fiber-reinforced polymer winding

2021

Journal Article

Adaptable Method for Dynamic Planning of 3D Spatial Wireframes Extrusion with Neural Networks and Robotic Automation

Luo, Dan and Xu, Weiguo (2021). Adaptable Method for Dynamic Planning of 3D Spatial Wireframes Extrusion with Neural Networks and Robotic Automation. 3D Printing and Additive Manufacturing, 9 (4), 1-13. doi: 10.1089/3dp.2020.0176

Adaptable Method for Dynamic Planning of 3D Spatial Wireframes Extrusion with Neural Networks and Robotic Automation

2021

Conference Publication

Real-time defect recognition and optimized decision making for structural timber jointing

Luo, Dan, Gattas, Joseph M. and Tan, Poah Shiun Shawn (2021). Real-time defect recognition and optimized decision making for structural timber jointing. 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020), Shanghai, China, July 5, 2020. Singapore: Springer Singapore. doi: 10.1007/978-981-33-4400-6_4

Real-time defect recognition and optimized decision making for structural timber jointing

2021

Book Chapter

From factory to site — designing for industrial robots used in on-site construction

Luo, Dan and Yu, Lei (2021). From factory to site — designing for industrial robots used in on-site construction. Automating cities: design, construction, operation and future impact. (pp. 87-109) edited by Brydon T. Wang and C. M. Wang. Singapore: Springer Singapore. doi: 10.1007/978-981-15-8670-5_4

From factory to site — designing for industrial robots used in on-site construction

2021

Conference Publication

Robotic weaving of customizable frp formworks for large-scale optimized structure

Guanqizhu, , Ou, Ya, Bao, Dingwen and Luo, Dan (2021). Robotic weaving of customizable frp formworks for large-scale optimized structure. 26th International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2021, Hong Kong, China, 29 March-1 April 2021. Hong Kong, China: The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Robotic weaving of customizable frp formworks for large-scale optimized structure

2020

Journal Article

The smart robot crafting approach to computing materials

Luo, Dan, Chen, Dechen, Wang, Jingsong, Zhu, Guanqi and Xu, Weiguo (2020). The smart robot crafting approach to computing materials. Construction Robotics, 4 (3-4), 239-249. doi: 10.1007/s41693-020-00040-x

The smart robot crafting approach to computing materials

2020

Conference Publication

Pattern Recognition and Prediction of Bending-active Thin Sheets via Artificial Neural Networks

Zhou, Xinjie, Wang, Xiang, Luo, Dan and Yuan, Philip (2020). Pattern Recognition and Prediction of Bending-active Thin Sheets via Artificial Neural Networks. IASS 2020/21 Surrey Symposium: Active bending, Barcelona, Spain, 23-27 August 2020. Madrid, Spain: International Association for Shell and Spatial Structures (IASS).

Pattern Recognition and Prediction of Bending-active Thin Sheets via Artificial Neural Networks

2019

Conference Publication

Automatic brick masonry system and its application in on-site construction

Xu, Weiguo, Luo, Dan and Gao, Yuan (2019). Automatic brick masonry system and its application in on-site construction. 24th International Conference on Computer-Aided Architectural Design Research in Asia: Intelligent and Informed, CAADRIA 2019, Wellington, New Zealand, 15-18 April 2019. Hong Kong: Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Automatic brick masonry system and its application in on-site construction

2019

Conference Publication

Re-perceive 3D printing with Artificial Intelligence

Chen, Dechen, Luo, Dan, Xu, Weiguo, Luo, Chen, Yan, Xia, Shen, Liren and Wang, Tianjun (2019). Re-perceive 3D printing with Artificial Intelligence. Education and Research in Computer Aided Architectural Design in Europe and XXIII Iberoamerican Society of Digital Graphics, Joint Conference, Porto, Portugal, 11-13 September 2019. São Paulo, Brazil: Editora Blucher. doi: 10.5151/proceedings-ecaadesigradi2019_034

Re-perceive 3D printing with Artificial Intelligence

2019

Book Chapter

Dynamic robotic slip-form casting and eco-friendly building façade design

Yu, Lei, Luo, Dan and Xu, Weiguo (2019). Dynamic robotic slip-form casting and eco-friendly building façade design. Robotic Fabrication in Architecture, Art and Design 2018. (pp. 422-433) edited by Jan Willmann, Philippe Block, Marco Hutter, Kendra Byrne and Tim Schork. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-92294-2_32

Dynamic robotic slip-form casting and eco-friendly building façade design

2018

Journal Article

Mesh optimisation for spatial wireframe robotic 3D printing

Yu, Lei and Luo, Dan (2018). Mesh optimisation for spatial wireframe robotic 3D printing. International Journal of Rapid Manufacturing, 7 (2/3), 169-185. doi: 10.1504/IJRAPIDM.2018.092904

Mesh optimisation for spatial wireframe robotic 3D printing

2018

Conference Publication

Kinetair: Interactive stairs with multiple functions

Liu, Jie, Ma, Hongtao, Tang, Ning, Xu, Weiguo and Luo, Dan (2018). Kinetair: Interactive stairs with multiple functions. Conference on Computer-Aided Architectural Design Research in Asia, Beijing, China, 17-19 May 2018. Hong Kong: The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Kinetair: Interactive stairs with multiple functions

2018

Conference Publication

Robotic automatic generation of performance model for non-uniform linear material via deep learning

Luo, Dan, Wang, Jinsong and Xu, Weiguo (2018). Robotic automatic generation of performance model for non-uniform linear material via deep learning. CAADRIA 2018 - 23rd International Conference on Computer-Aided Architectural Design Research in Asia: Learning, Prototyping and Adapting, Beijing, China, 17-19 May 2018. Hong Kong: Association for Computer-Aided Architectural Design Research in Asia (CAADRIA).

Robotic automatic generation of performance model for non-uniform linear material via deep learning

2018

Conference Publication

Applied automatic machine learning process for material computation

Luo, Dan, Wang, Jingsong and Xu, Weiguo (2018). Applied automatic machine learning process for material computation. International Conference on Education and Research in Computer Aided Architectural Design in Europe, Lodz, Poland, 17-21 September 2018. Lodz, Poland: eCAADe and Faculty of Civil Engineering, Architecture and Environmental Engineering, Lodz University of Technology.

Applied automatic machine learning process for material computation

Funding

Current funding

  • 2023 - 2028
    ARC Research Hub to Advance Timber for Australia's Future Built Environment
    ARC Industrial Transformation Research Hubs
    Open grant

Past funding

  • 2023 - 2025
    Sustainable modular membrane shade structures from under-utilised timber materials
    Nohmura Foundation for Membrane Structure Technology
    Open grant

Supervision

Availability

Dr Dan Luo is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Connecting mega-events through micromobility: A data-driven visual design methodology via AI-generated street scenery

    Principal Advisor

    Other advisors: Dr Silvia Micheli, Professor Ali Cheshmehzangi

  • Doctor Philosophy

    Robotic FRP fabrication for large scale customizable structure

    Principal Advisor

    Other advisors: Associate Professor Joe Gattas, Dr Michael Heitzmann

  • Doctor Philosophy

    Developing environmentally responsive facades by self-assembly timber modules

    Principal Advisor

    Other advisors: Associate Professor Joe Gattas

  • Doctor Philosophy

    Enhancing Sustainability in Construction: Environmentally Adaptive Modular Earth-Based Facade Design with Digital Fabrication and Realtime Customization

    Principal Advisor

    Other advisors: Dr Fred Fialho Leandro Alves Teixeira, Dr Mehrnoosh Mirzaei

  • Master Philosophy

    Data-Driven Urban Evaluation of Australian cities through the lens of Micromobility

    Principal Advisor

    Other advisors: Dr Silvia Micheli

  • Doctor Philosophy

    Mobility Culture and Micro-scale Living Patterns: Re-conceptualization of Land Use and Movement Patterns in Australian Cities

    Associate Advisor

    Other advisors: Dr Silvia Micheli

  • Doctor Philosophy

    An Integrated Approach to Design and Construction of Waste Wood

    Associate Advisor

    Other advisors: Associate Professor Joe Gattas

Media

Enquiries

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communications@uq.edu.au