Profile
Prof Bige TUNCER
Collaborator
Bige Tunçer is an Associate Professor at the Architecture and Sustainable Design Pillar of Singapore University of Technology and Design (SUTD). At SUTD, she founded the Informed Design Lab. The lab’s research focuses on data collection, information and knowledge modelling and visualisation, for informed architectural and urban design.
Dr Tunçer received a PhD in Architecture (Design Informatics) from Delft University of Technology (TU Delft), an MSc (Computational Design) from Carnegie Mellon University, and a BArch from the Middle East Technical University. She was an Assistant Professor at TU Delft, Visiting Professor at the Chair of Information Architecture at ETH Zurich, a visiting scholar at MIT, and a Visiting Professor at the Computer Engineering Department of the University of Pavia, Italy. Her research interests include evidence-based design, big data informed urban design, and design thinking. She leads and participates in various large multi-disciplinary research projects in evidence-informed design, IoT, and big data. She has taught many design computation and studio courses to undergraduate and graduate students. Currently, she leads and teaches Capstone, where student groups from various engineering directions and architecture work together on industry-defined and funded design projects and develop design prototypes.
Singapore
Researchers
HD4
Research Interest
- Data driven urban design and planning
- Information modelling
- Big data analytics
- IoT
Key Publications
Google Scholar Link
I.-T. Chuang, F. Benita and B. Tunçer, “Effects of urban park spatial characteristics on visitor density and diversity: A geolocated social media approach,” Landscape and Urban Planning, vol. 226, p. 104 514, 2022. doi: 10.1016/j.landurbplan.2022.104514.
H. Silvennoinen, S. Kuliga, P. Herthogs, D. R. Recchia and B. Tunçer, “ffects of Gehl’s urban design guidelines on walkability: A virtual reality experiment in Singaporean public housing estates,” Environment and Planning B: Urban Analytics and City Science, in press, 2022. doi: 10.1177/23998083221091822.
B. Tunçer and F. Benita, “Data-driven thinking for measuring the human experience in the built environment,” International Journal of Architectural Computing, vol. 20, no. 2, pp. 316–333, 2022. doi: 10.1177/14780771211025142.
F. Benita, V. Kalashnikov and B. Tunçer, “A Spatial Livability Index for dense urban centers,” Environment and Planning B: Urban Analytics and City Science, vol. 48, no. 7, pp. 2006–2022, 2021. doi: 10.1177/2399808320960151.
Z. Koh, Y. Zhou, B. P. L. Lau, C. Yuen, B. Tunçer and K. H. Chong, “Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data,” IEEE Transactions on Big Data, vol. 8, no. 5, pp. 1312–1325, 2022. doi: 10.1109/TBDATA.2020.3045154.