Implicit Neural Representations for Surrogate Modeling in the Built Environment

Sarah Mokhtar, Caitlin Mueller.

Automation in Construction, 2026.

Implicit neural representations, Surrogate modeling, Shape functional representations, Physics simulations, Latent space learning, Building performance, Performance-informed design.

Neural Implicit Fields for Performance-Informed Geometries in Building Design

Sarah Mokhtar, Renaud Danhaive, Caitlin Mueller.

Advances in Architectural Geometry (AAG), 2023.

Neural implicit fields, Representation learning, Building geometry, Performance-informed design, Latent space learning.

Towards Scalable and Actionable Pedestrian Outdoor Thermal Comfort Estimation: A Progressive Modelling Approach

Sarah Mokhtar, Christoph Reinhart.

Building and Environment, 2023.

Outdoor thermal comfort, Performance-informed design, Urban microclimate, Surrogate modelling, Probabilistic modelling.

Natural Ventilation in A Warming Climate: an Evaluation of Computational Simulation Methods and Metrics

Nada Tarkhan*, Sarah Mokhtar*, Ramon Elias Weber, Christoph Reinhart. (*equal contribution)

Annual Modeling and Simulation Conference (ANNSIM), 2022.

Natural ventilation, Airflow analysis, Thermal discomfort, Hot climates, Design sensitivity.

Modeling Outdoor Thermal Comfort along Cycling Routes at Varying Levels of Physical Accuracy to Predict Bike Ridership in Cambridge, MA

Elizabeth Young, Patrick Kastner, Timur Dogan, Ata Chokhachian, Sarah Mokhtar, Christoph Reinhart.

Building and Environment, 2022.

Biometeorological indices, Outdoor thermal comfort, Universal thermal climate index (UTCI), Comfort simulations, Bicycle ridership.

Pedestrian Wind Factor Estimation in Complex Urban Environments

Sarah Mokhtar, Matt Beveridge, Yumeng Cao, Iddo Drori.

Asian Conference on Machine Learning (ACML), 2021.

Deep learning, Geometry representation, Wind flow estimation, Urban environments, Predictive modeling.

Conditional Generative Adversarial Networks for Pedestrian Wind Flow Approximation

Sarah Mokhtar, Aleksandra Sojka, Carlos Cerezo Davila.

Annual Symposium on Simulation for Architecture and Urban Design (SimAUD), 2020.

Deep learning, Wind flow estimation, Urban environments, Predictive modeling.

Designing Better Cities with Deep Learning and Performance Simulation

Sarah Mokhtar, Aleksandra Sojka.

Nvidia GPU Technology Conference (GTC), 2020.

Building design, Real-time performance simulation, Deep learning, Wind flow estimation, Urban environments, Predictive modeling.

Neighbourhood Shading Impacts on Passive Adaptive Façade Collective Behaviour

Sarah Mokhtar, Angelos Chronis, Christopher Leung.

Conference on Computer-Aided Architectural Design Futures (CAAD Futures), 2017.

Solar morphing envelopes, Neighbourhood shading, Collective behaviour, Adaptive facades.

Geometry-material Coordination for Passive Adaptive Solar Morphing Envelopes

Sarah Mokhtar, Angelos Chronis, Christopher Leung.

Symposium on Simulation for Architecture and Urban Design (SimAUD), 2017.

Material computation, Requisite variety, Solar morphing envelopes, Smart materials.

Multi-Objective Performance Evaluation of Adaptive Façade in Hot Arid Climate

Sarah Mokhtar, Angelos Chronis, Christopher Leung.

IBPSA Building Simulation Conference, 2017.

Multi-objective optimization, Facade performance, Shading geometry design, Daylighting, Performance simulation.