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Dr. Zack Xuereb Conti

Dr. Zack Xuereb Conti

Research Associate

Topic: Physics-Enhanced Machine Learning for Decarbonising Buildings

Supervisor: Dr. Ruchi Choudhary


Biography:

Zack is a registered architect and multi-disciplinary researcher whose interests lie at the intersection of architecture, structural and energy engineering, statistics, and artificial intelligence. Prior to joining the EECi he conducted research at the Singapore University of Technology and Design (SUTD) and at the Harvard Graduate School of Design. Zack holds a PhD from SUTD and an MPhil degree in Digital Architectonics from the University of Bath.

Research Interests:

Zack’s current research aims to build efficient tools for assisting the decarbonisation of buildings by combining governing heat transfer equations together with powerful Machine Learning tools. In its scope, a Physics-ML synthesis facilitates data-efficient energy representations while maintaining model fidelity and interpretability.

In his doctoral research, Zack promotes human intelligence as the author of architectural design in the human-computer collaboration. His thesis adopts ‘Bayesian inference’, to facilitate the interpretability of engineering responses from numerical analysis, with focus on finite element analysis.

Key Publications

Xuereb Conti, Z., & Kaijima, S. (2018) Enabling Inference in Performance-Driven Design Exploration. In Humanizing Digital Reality (pp. 177-188). Springer, Singapore.

Xuereb Conti, Z., & Kaijima, S. (2018) A Flexible Simulation Metamodel for Exploring Multiple Design Spaces. In Proceedings of the IASS Symposium 2018, Creativity in Structural Design, July 16-20, 2018, MIT, Boston, USA, Caitlin Mueller, Sigrid Adriaenssens (eds.)

Xuereb Conti, Z., Shepherd, P. and Richens, P. (2015) Multi-objective Optimisation of Building Geometry for Energy Consumption and View Quality.  In Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 287-294