Research

MESH conducts research on a range of topics in architectural geometry, algorithms for CAD, and geometric software development.

Here is a selection of our publications:

1. Using graph neural networks to approximate mechanical response on 3D lattice structures. To appear in Advances in Architectural Geometry 2020.
   Elissa Ross, Daniel Hambleton.

2. Constructing Belief: Using Bayesian Belief Networks to Measure and Manage Uncertainty in Digital Design. In proceedings of Design Modelling symposium 2019.
   Daniel Hambleton, Elissa Ross.

3. Beyond the Model: Toward a Unified Framework for Geometry Creation, Visualization, Interaction and Iteration. Whitepaper, 2017.
   Daniel Hambleton, Elissa Ross and Chris Cappadocia.

4. Scaffolding a Skeleton. In proceedings of Women In Shape: Modelling Boundaries of Objects in 2- and 3-Dimensions.
   Athina Panotopoulou, Elissa Ross, Kathrin Welker, Evelyne Hubert and Géraldine Morin.

5. Face-Offsetting Polygon Meshes with Variable Offset Rates. Advances in Architectural Geometry 2016.
   Elissa Ross, Daniel Hambleton and Robert Aish.

6. Exact face-offsetting for polygonal meshes. ACADIA 2015.
   Elissa Ross, Daniel Hambleton.

7. DragonFly: An Ecological Approach to Digital Architectural Design. ACADIA 2011.
   Daniel Hambleton, Michael Braund, and Chris Walsh.

You can also find us on ResearchGate.

Talks

MESH has had the chance to present at many conferences. Our talks include:

ICERM Illustrating Geometry and Topology, Geometric Expression - Tools for Visual Mathematics - Elissa Ross, 2020.

AECTech Robust Geometric Algorithms - Elissa Ross, 2020.

Smartgeometry sg2018 Keynote - Elissa Ross, 2018.