Philipp Geyer 
- (2024): A holistic two-stage decision-making methodology for passive and active building design strategies under uncertainty. Dans: Building and Environment, v. 251 (mars 2024).
- (2024): Using causal inference to avoid fallouts in data-driven parametric analysis: A case study in the architecture, engineering, and construction industry. Dans: Developments in the Built Environment, v. 17 (mars 2024).
- (2022): Introducing causal inference in the energy-efficient building design process. Dans: Energy and Buildings, v. 277 (décembre 2022).
- (2022): Early-stage design support combining machine learning and building information modelling. Dans: Automation in Construction, v. 136 (avril 2022).
- (2020): Consistent management and evaluation of building models in the early design stages. Dans: Journal of Information Technology in Construction, v. 25 (octobre 2020).
- (2014): Integrating requirement analysis and multi-objective optimization for office building energy retrofit strategies. Dans: Energy and Buildings, v. 82 (octobre 2014).
- (2020): Uncertainty Analysis of Life Cycle Energy Assessment in Early Stages of Design. Dans: Energy and Buildings, v. 208 (février 2020).
- (2018): Linking BIM and Design of Experiments to balance architectural and technical design factors for energy performance. Dans: Automation in Construction, v. 86 (février 2018).
- (2012): Parametric systems modeling for sustainable energy and resource flows in buildings and their urban environment. Dans: Automation in Construction, v. 22 (mars 2012).
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