Difference between revisions of "DC I/O 2023"

From Design Computation
Jump to: navigation, search
(Created page with "Category:DCIO Category:DCIO2023 Category:DCIO Proceedings Category:Conferences Category:Book Design Computation Input/Output 2022 Conference (DC I/O 2022)....")
 
Line 34: Line 34:
 
==Session 1: Algorithms==
 
==Session 1: Algorithms==
 
===Keynote===
 
===Keynote===
−
* [[Neural Fields for Scalable Scene Reconstruction]]
 
  
 
===Proceedings===
 
===Proceedings===
−
* [[A machine learning assisted preliminary design methodology for repetitive design features in complex structures]]
 
−
* [[Environmental-driven Massing Based on Machine learning]]
 
−
* [[Simulation and Fabrication of Elastic Deployable Stripe Structures]]
 
−
*[[View-Based Luminance Mapping in Open Workplace]]
 
  
 
===Discussion===
 
===Discussion===
Line 52: Line 47:
  
 
===Proceedings===
 
===Proceedings===
−
* [[Aesthetic Measure of Architectural Photography utilizing Computer Vision: Parts-from-Wholes]]
 
−
* [[Eye on HMI - Assessment of Human-Machine Interface with wearable eye-tracking glasses]]
 
−
* [[Interconnectivity of Deep Learning Models in AI-Driven Design Systems]]
 
−
* [[Understanding the Relationship between Eye Position and Body Movement during Navigation with Unusual Visual Perception]]
 
  
 
===Discussion===
 
===Discussion===
  
−
* [[DC I/O 2022 Session 2 (Cognitions) Discussion]]
+
* [[DC I/O 2023 Session 2 (Cognitions) Discussion]]
  
 
==Session 3: Cultures==
 
==Session 3: Cultures==
Line 67: Line 58:
  
 
===Proceedings===
 
===Proceedings===
−
* [[Fragmented Layers of Design Thinking: Limitations and Opportunities of Neural Language Model-assisted processes for Design Creativity]]
 
−
* [[Virtually Physical Immaterial]]
 
−
* [[Approach to Digital Twins of Woody Vegetation (Trees and Shrubs)]]
 
  
 
===Discussion===
 
===Discussion===
  
−
* [[DC I/O 2022 Session 3 (Cultures) Discussion]]
+
* [[DC I/O 2023 Session 3 (Cultures) Discussion]]
  
 
==Session 4: Applications==
 
==Session 4: Applications==
Line 81: Line 69:
  
 
===Proceedings===
 
===Proceedings===
−
*[[Prototyping the Organic: AI in design work-flows for complex forms inspired by nature]]
 
−
*[[KPF Karst Mountains Inspired Facades Optimisation]]
 
−
*[[Research into Digital Twins for AEC]]
 
−
*[[Allplan PythonPart in Practice]]
 
−
*[[Bacton Digital Beach Twin: a Digital Twin for natural assets]]
 
  
 
===Discussion===
 
===Discussion===
−
* [[DC I/O 2022 Session 4 (Applications) Discussion]]
+
* [[DC I/O 2023 Session 4 (Applications) Discussion]]
  
 
=Closing Keynote=
 
=Closing Keynote=
−
*[[A synthesis of Algorithms, cognitions, Cultures and Applications of Design Computation]]
+
*
  
−
=Workshop Sessions=
 
−
 
−
* [[Computational Design in Railway Simulations: Challenges and Hope in Timetable Engineering]]
 
−
* [[Components Fusion in Modo Foundry]]
 
−
* [[Mix Reality, Data and Experiences]]
 
  
 
=Reference=
 
=Reference=
 
Conference DOI: https://doi.org/10.47330/DCIO.2022.ACSL3567
 
Conference DOI: https://doi.org/10.47330/DCIO.2022.ACSL3567
 
Full text in: [https://www.designcomputation.org/dcio2021 Maciel, A. (Ed.), 2022. Design Computation Input/Output 2022, 1st ed. Design Computation, London, UK. ISBN: 978-1-8381294-2-2]
 
Full text in: [https://www.designcomputation.org/dcio2021 Maciel, A. (Ed.), 2022. Design Computation Input/Output 2022, 1st ed. Design Computation, London, UK. ISBN: 978-1-8381294-2-2]

Revision as of 23:21, 10 December 2023

Design Computation Input/Output 2022 Conference (DC I/O 2022). DOI: https://doi.org/10.47330/DCIO.2022.ACSL3567

DCIO2022 Poster.png

Design Computation Input/Output Conference, or simply DC I/O, was established with the premise that computational design methods should benefit from the scientific method and whenever possible, be cross-referenced in the many design disciplines to evolve and diversify the field. The conference assists in the understanding of the physical and digital relationships of producing design. It focuses on the many channels to capture the data necessary to inform design, the processes – natural and/or digital – of articulating this data input to accomplish design and the outcomes of these processes as artifacts and references of study in the domain of computational design.

Conference Committee

Advisory Board

Prof. David Kirsh, Prof. Jacqueline Glass, Prof. Jeremy Melvin, Prof. Kate Jeffery, Dr. Patrik Schumacher, and Prof. Robert Aish.

Programme Committee

Dr. Abel Maciel, Prof. Sean Hanna, Dr. Theodore Spyropoulos.

Design Theory Committee

Dr. Anastasia Globa, Ava Fatah Gen. Schieck, Dustin White, Prof. Marjan Colletti, Prof. Peter Russell.

Scientific Committee

Alvaro Lopez, Dr. Bailin Deng, Dr Carlos Galera-Zarco, Dr. Christopher Leung, Dr. David Swapp, Dr. Eleni Papadonikolaki, Dr. Iro Armeni, Prof. James Tompkin, Dr. Kimon Krenz, Shneel Malik, Dr. Stephen Law, Prof. Tamir El-Khouly

Industry Committee

Eduardo Lazzarotto, Greg Demchak, Kean Walmsley, Luis Fraguada, Shajay Bhooshan.

Peer-Reviewers

Alvaro Lopez, Ava Fatah Gen. Schieck, Bailin Deng, Clara Jaschke, Carlos Galera-Zarco, David Swapp, Eleni Papadonikolaki, Jacqueline Glass, James Tompkin, Kate Jeffery, Kean Walmsley, Kimon Krenz, Luis Fraguada, Maj Plemenitas, Richard Beckett, Robert Aish, Stephen Gage, Tyson Hosmer, Wiktor Kidziak, Stephen Law.

Proceedings

Session 1: Algorithms

Keynote

Proceedings

Discussion

Session 2: Cognitions

Keynote

Proceedings

Discussion

Session 3: Cultures

Keynotes

Proceedings

Discussion

Session 4: Applications

Keynotes

Proceedings

Discussion

Closing Keynote


Reference

Conference DOI: https://doi.org/10.47330/DCIO.2022.ACSL3567 Full text in: Maciel, A. (Ed.), 2022. Design Computation Input/Output 2022, 1st ed. Design Computation, London, UK. ISBN: 978-1-8381294-2-2

Retrieved from "http://wiki.designcomputation.org/home/index.php?title=DC_I/O_2023&oldid=27642"