Thomas Schroepfer
Singapore University of Technology and Design
10 Papers
10 Citations
Thomas Schroepfer is an academic researcher from Singapore University of Technology and Design. The author has contributed to research in topics: Computer science & Environmental science. The author has an hindex of 2, co-authored 3 publications.
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Papers
Advantages of surrogate models for architectural design optimization
TL;DR: This paper proposes surrogate-based optimization as a method that promotes understanding of the design problem, and applies the radial basis function method, a specific type of surrogate model, to two architectural daylight optimization problems.
103
Black-Box Optimization of Lighting Simulation in Architectural Design
Alberto Costa,Giacomo Nannicini,Thomas Schroepfer,Thomas Wortmann +3 more
- 01 Jan 2015
TL;DR: Experiments indicate that the open-source implementation of the Radial Basis Function method is competitive with commercial software for black-box optimization, and that it can be a valuable decision-support tool for complex problems requiring time-consuming simulations.
Network Science-based Analysis of Urban Green Spaces in Singapore
A. Srikanth,Thomas Schroepfer +1 more
- 30 Jun 2023
TL;DR: In this article , the influence of spatial configuration of urban green spaces on pedestrian movement was investigated by using weighted spatial network analysis using sDNA, an analytical tool, to gain insights into the correlations between spatial connectivity and pedestrian movement distribution patterns.
2
SonicSG: from floating to sounding pixels
Suranga Nanayakkara,Thomas Schroepfer,Lonce Wyse,Aloysius Lian,Anusha Withana +4 more
- 16 Mar 2017
TL;DR: The design concept, prototyping and, implementation of as well as the user reactions to this interactive public light installation are described.
2
Identifying urban functional zones by analysing the spatial distribution of amenities
Wei-Chien-Benny Chin,Yuming Fu,Kwan Hui Lim,Thomas Schroepfer,Lynette Cheah +4 more
- 01 Jul 2024
TL;DR: This study proposes a framework using POI data to identify and characterise urban functional zones and associated amenities, demonstrating its effectiveness in two Singapore case studies and revealing diverse, non-uniform spatial configurations of amenities.
2