Ding Yang is currently a joint Ph.D. candidate of Design Informatics in the Department of Architectural Engineering & Technology at TU Delft (2014 onward), and of Architectural Design and Theory in the Department of Architecture at SCUT - South China University of Technology (2011 onward). His Ph.D. research topic is: Multi-Objective and Multi-Disciplinary Design Exploration and Optimization of Indoor Sports Buildings. The areas of his expertise and/or interest include: Computational Design; Performance assessment (energy, daylight, structural aspects etc.); Design Exploration and Optimization; Multi-objective Optimization (MOO); Multi-disciplinary Optimization (MDO); Sports Building Design and Sustainability. He received my B.Arch (in 2009) and M.Arch (in 2011) from SCUT, and has had valuable work experience as an Architect at Sun Yimin Studio since 2009. During this period, he mainly focused on computational design practice of large public buildings covering various building types, such as sports and recreational buildings, railway stations, exhibition centers, culture and broadcasting centers, hotels and education buildings etc. Moreover, he also had some teaching experience as a Teaching Assistant in SCUT in 2010, for bachelor's course Architectural Design.
His recent research, in collaboration with Arup in Amsterdam and ESTECO in Italy, aims at developing a performance-based design approach for the conceptual envelope design of indoor sports buildings. The proposed approach is able to improve multiple building performances, including energy, daylight and structural performance aspects; and support the trade-off decision-making by utilizing multi-objective and multi-disciplinary design exploration and optimization techniques.
PUBLICATIONS with Design Informatics:
• Yang, D., Sun, Y., di Stefano, D., Turrin, M., & Sariyildiz., S. (2016, July). Impacts of problem scales and sampling strategies on surrogate model accuracy. In 2016 IEEE Congress on Evolutionary Computation (CEC) (pp. 4199-4207). IEEE.
• Turrin, M., Yang, D., D’Aquilio, A., Sileryte, R., & Sun, Y. (2016, July). Computational design for sport buildings. Procedia Engineering, 147, 878-883.
• Yang, D., Sun, Y., Sileryte, R., D’Aquilio, A., & Turrin, M. (2016, May). Application of surrogate models for building envelope design exploration and optimization. In 2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 11-14), London, UK, 16-18, May, 2016.
• D’Aquilio, A., Sileryte, R., Yang, D., & Turrin, M. (2016, May). Simulating natural ventilation in large sports buildings: prediction of temperature and airflow patterns in the early design stages. In 2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 43-50), London, UK, 16-18, May, 2016.
• Sileryte, R., D’Aquilio, A., di Stefano, D., Yang, D., & Turrin, M. (2016, May). Supporting Exploration of Design Alternatives using Multivariate Analysis Algorithms. In 2016 Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 215-222), London, UK, 16-18, May, 2016. (Best Paper Award)
• Yang, D., Sun, Y., Turrin, M., von Buelow, P., & Paul, J. C. (2015, August). Multi-objective and multidisciplinary design optimization of large sports building envelopes: a case study. In Proceedings of the International Association for Shell and Spatial Structures (IASS) Symposium "Future Visions", Amsterdam, The Netherlands, 17-20, August 2015.
• Yang, D., Turrin, M., Sariyildiz, S., & Sun, Y. (2015, May). Sports building envelope optimization using multi-objective multidisciplinary design optimization (M-MDO) techniques: case of indoor sports building project in China. In 2015 IEEE Congress on Evolutionary Computation (CEC) (pp. 2269-2278), IEEE. (EI Compendex: 20161602267177).
Faculty of Architecture and the Build Environment
2628 BL Delft