Ali Malkawi

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This article presents a rigorous simulation-based optimization framework that enables concurrent and consistent decision-making in building design. Analytical Target Cascading (ATC), a multi-level engineering design optimization framework, is extended to thermal and HVAC design in buildings. The framework facilitates computational decision support for(More)
This paper presents an overview of crowd simulation models, their limitations, and an alternative agent-based approch. First we introduce several methods and then we focus on two widely used and validated simulation tools that use grid-based models. We discus the artifacts that these models introduce regarding the way they treat the space and the(More)
This article presents a mathematical model that provides explicit support for preserving the consistency between decisions made at various points during building performance analysis. Analytical Target Cascading, a multilevel engineering design optimization framework, is applied to the energy analysis process. Within this framework, the energy analysis(More)
Though researchers in computer graphics have started to use the GPGPU (General Purposed Graphics Processing Unit) method to speed up their procedural programs , these techniques are seldom used in the building simulation field. It is possible to apply the GPGPU method to many simulation scenarios (i.e. human evacuation, shadow simulation) to speed up(More)
—In this paper, we design real-time decentralized and distributed control schemes for Heating Ventilation and Air Conditioning (HVAC) systems in energy efficient buildings. The control schemes balance user comfort and energy saving, and are implemented without measuring or predicting exogenous disturbances. Firstly, we introduce a thermal dynamic model of(More)
The Design Analysis Integration (DAI)-Initiative aims to steer towards new solutions for design analysis integration. These solutions should be able to overcome the limitations of current interoperability approaches that assume the existence of generic and static interfaces in a 'perfect world' in which all information is structured and all mappings between(More)
We present an interactive gesture recognition-based, immersive augmented reality system visualizing computational fluid dynamics (CFD) datasets of indoor environments. CFD simulation is used to predict the indoor environments and assess their response to specific internal and external conditions. To enable efficient visualization of CFD datasets in(More)
Traditional approaches to simulate airflow movements in buildings are computationally expensive and do not achieve real-time prediction of results. This paper discusses an Adaptive Localization Method (ALM) that significantly minimizes the simulation domain to achieve close to real-time predictions. As the user interacts with the space by modifying boundary(More)