Ph.D. Candidate in Construction Engineering
Mehrzad’s research focuses on the creation of the digital twins of buildings by bridging cloud-enabled BIM environments to the Internet of Things (IoT) systems. His research addresses the question of how existing BIM models can be enriched with live streams of sensor data to provide an integrated view of the building’s life-cycle data. To answer this question, his study set out to examine the effectiveness of using ontologies and open communication protocols to improve the syntactic and semantic interoperability between BIM and IoT ecosystems
His research also investigates an AI-powered data analytics framework that enables knowledge discovery from semantically linked building databases, and a context-aware knowledge reuse procedure supported by the automated reasoning power of ontologies. Availability of such an analytics layer contributes to the creation of various simulation and predictive models that can be used to make accurate predictions about the future state and behavior of the buildings based on real-time observations.
Finally, he investigates the usefulness of Augmented/Virtual Reality (AR/VR) for building visual analytics by enabling immersive and intuitive visualizations of BIM and IoT data, as well as linking the AR/VR interfaces to the developed analytics layer to provide building operators/mangers with context-aware recommendations for real-world applications.
|Fal 2019||Win 2020||Sum 2020||Fal 2020||Win 2021|
|Literature review||Beginning of the experiments in the laboratory||Experimentation and research methodology||Experimentation and research methodology||Experimentation and research methodology|