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Jeffrey Huang

EPFL IC IINFCOM LDM1
BC 104 (Bâtiment BC)
Station 14
1015 Lausanne

Office: BC 104
EPFLICIINFCOMLDM1

Site web: https://ldm.epfl.ch/

EPFL ENAC IA LDM2
BC 104 (Bâtiment BC)
Station 14
1015 Lausanne

Expertise

Design Thinking
Artificial Design
Interactive Space
Smart Buildings, Smart Cities
Digital Architecture
Experience Design

Publications représentatives

On GANs, NLP and Architecture: Combining Human and Machine Intelligences for the Generation and Evaluation of Meaningful Designs

Huang, Jeffrey, Mikhael Johanes, Frederick Chando Kim, Christina Doumpioti, and Georg-Christoph Holz.
Published in Technology | Architecture Design 5 (2): 207–24. in

Growth Typologies, Localities and Defamiliarisation

Huang, J.
Published in Archit Design, (2015), 85: 70-75. doi: 10.1002/ad.1980 in

Artificial Morphogenesis: The Guangzhou Tower Delta Studio

Huang, J., Patt, T., and Ortner, P.
Published in In Landscape Architecture Frontiers, Volume 1, Issue 5 (2013) Pages: (138-149) in

The Swisshouse : An Inhabitable Interface for Connecting Nations

Huang, J., and Waldvogel, M.
Published in In Proceedings of Designing Interactive Systems: Processes, Practices, Methods, and Techniques, Cambridge, MA, USA, August 1-4, 2004; ACM 2004; 195-204. in

Future Space: A New Blueprint for Business Architecture

Huang, J.
Published in Harvard Business Review (April 2001); Volume 7, Number 4, 2001; pp. 149-161. in

How Do Distributed Design Organizations Act Together To Create A Meaningful Design?

Huang, J.
Published in In Computers in Buildings: Proceedings of CAAD Futures '99, Kluwer Academic, Dordrecht, Netherlands. in

Cours

Théorie et critique du projet MA2 (Huang)

AR-402(k)

The studio examines the effects of artificial intelligence on architecture and cities. We explore data-driven design processes by the use of algorithmic and parametric tools that take into consideration geographical, economical, personal, image, political, ecological parameters.

Théorie et critique du projet BA6 (Huang)

AR-302(k)

The studio examines the effects of artificial intelligence on architecture and cities. We explore data-driven design processes by the use of algorithmic and parametric tools that take into consideration geographical, economical, personal, image, political, ecological parameters.