UNSW Sydney

Computational Design

Loading page

3rd Annual UNSW Computational Design Conference 2019

The 2019 Bachelors cohort is the third student group to have finished a Bachelor's degree in Computational Design from start to finish. Topics in this year's conference range from VR and AR explorations, robotic fabrication, optimisation and decision support to machine learning and sensor-driven design.

Date
6 December 2019
Venue
Red Centre Gallery, UNSW
Projects
20

Swinburne University, Melbourne

Jane Burry

Architectural and Digital Dynamics: from geometry to sensorially responsive environments

Jane Burry is an architect, Professor and Dean in the School of Design, Swinburne University, Melbourne. Jane's research focus is mathematics in contemporary design. She is co-author of Prototyping for Architects (Thames and Hudson, 2016) and lead author of The New Mathematics of Architecture (Thames and Hudson, 2012). She was formerly Professor at RMIT University, Melbourne, where she directed the Spatial Information Architecture Laboratory (SIAL).

Victoria University of Wellington

Marc Aurel Schnabel

Immersive Architectural Legacies: The Construction of Meaning in Speculative Virtual Realities

Marc Aurel Schnabel is a Professor at Victoria University of Wellington whose research investigates immersive digital environments, augmented reality, and the intersection of computation and architectural heritage.

2019 student research.

  1. 01

    Contextualising: Sensors and Responsive Environments

    Data Sonification for urban wayfinding

    Phenpitcha Penny Talalak · Arup Engineering

  2. 02

    Contextualising: Sensors and Responsive Environments

    Data-driven life: Smart home automation system based on location

    Yuncong Mika Liu

  3. 03

    Contextualising: Sensors and Responsive Environments

    Using urban observational data to enhance the complexity of agent-based pedestrian simulations

    Ethan Gonzaga · WSP

  4. 04

    Contextualising: Sensors and Responsive Environments

    Reconfiguring Labour: Investigation towards autonomous robots for a moving desk office environment

    Aaron Djong · Arup Engineering

  5. 05

    Contextualising: Sensors and Responsive Environments

    Adaptive apartment simulation: adaptable space for the future high-density living

    Cheng Vincent Xiang

  6. 06

    Contextualising: Sensors and Responsive Environments

    The Vision of Virtual Reality: A Perspective through Eye Tracking to inform Wayfinding Design

    Simona Bojceska · BVN

  7. 07

    Constructing: Virtual and Physical

    Less the better: Reducing material use by optimising additive manufacture workflows for concrete wall construction

    Zahra Sadiq A Alshakhs

  8. 08

    Constructing: Virtual and Physical

    Exploring robotics in parametric brick wall prototyping using computational form finding techniques

    Aaron Leong

  9. 09

    Constructing: Virtual and Physical

    Substance without form(work): Exploring alternatives for constructing form-finding concrete formwork

    Nicholas Lucchese · Aurecon

  10. 10

    Constructing: Virtual and Physical

    Reconfiguring Labour: Investigation towards autonomous robots for a moving desk office environment

    Timothy Vugrek · ARUP Engineering

  11. 11

    Constructing: Virtual and Physical

    Automated Freeform Fabrication: Developing accessible Non-Planar printing workflows for the AEC industry

    Christopher Chidiac

  12. 12

    Constructing: Virtual and Physical

    Diagnosing complexity: automated slicing criteria for the digital fabrication of a sea wall

    Thomas Wyburn · COX Architecture

  13. 13

    Calibrating 1: Machine Learning / AI / Decision Support

    Investigating applications of machine learning in construction compliance systems

    Alan Wang

  14. 14

    Calibrating 1: Machine Learning / AI / Decision Support

    Exploring robotics in parametric brick wall prototyping using computational form finding techniques

    Lachlan Brown · PTW

  15. 15

    Calibrating 1: Machine Learning / AI / Decision Support

    Keeping up with the Code: Communicating the decision making of architectural scripts

    William Hamilton · COX Architecture

  16. 16

    Calibrating 1: Machine Learning / AI / Decision Support

    Sanitary sanity: Developing post-occupancy evaluation fidelity using machine learning with sensors for private spaces

    Baptiste Higgs · BVN

  17. 17

    Calibrating 2: Simulation / Optimisation

    Genetic Algorithm assisted decision making for data based residence roof truss system

    Wukai Kong

  18. 18

    Calibrating 2: Simulation / Optimisation

    Trusting Automation in Architectural and Engineering Workflows: A case study into core wall optimisation for multi-storey buildings

    Michael Rizoski · Mott MacDonald

  19. 19

    Calibrating 2: Simulation / Optimisation

    Design to Optimised: Ensuring Multi-Residential buildings meet Solar Access Compliance through Genetic Algorithms

    Alec Saguinsin · PTW

  20. 20

    Calibrating 2: Simulation / Optimisation

    Dynamic Crowd flow: Real time digital interactions to promote experiment lead decisions in way-finding design

    Eden Li

Thanks to our industry collaborators.

ARUP · Aurecon · BIM Consulting · BVN · COX Architecture · Mott MacDonald · PTW · WSP