GRIDD in figures

Beyond the numbers, a team dedicated to exploring technological advances in the architecture, engineering and construction industries.

23

Research projects

31

Students involved

21

Published articles

7

Published reports

GRIDD news at a glance

GRIDD’s most recent activities are presented below:

Date of the event: 2024-06-18
Event

Content overview :

CALL FOR PAPERS!

GRIDD is delighted to be organizing the 11th international workshop "When social science meets lean and digital technologies - Humanizing the digital lean".

The 2-day workshop will be held in Montreal, Canada, on June 18 and 19.

The deadline for submission of papers (3-4 pages) is March 21, 2024, register here :

https://research.hud.ac.uk/institutes-centres/idl/events/lean-digitaltechnologies-2024/

Thanks to collaborators from École de technologie supérieure, GRIDD, The University of Huddersfield and Universidad Federal de Río Grande Del Sur, as well as organizing committee members Patricia Tzortzopoulos, carlos Torres formoso Daniel Forgues, Erik Poirier and Ivanka Iordanova.

News

Content overview :

While the adoption of open Building Information Modeling (open BIM) standards continues to grow, the inherent complexity and multifaceted nature of the built asset lifecycle data present a critical bottleneck for effective information retrieval. To address this challenge, the research community has started to investigate advanced natural language-based search for building information models. However, the accelerated pace of advancements in deep learning-based natural language processing research has introduced a complex landscape for domain-specific applications, making it challenging to navigate through various design choices that accommodate an effective balance between prediction accuracy and the accompanying computational costs. This study focuses on the semantic tagging of user queries, which is a cardinal task for the identification and classification of references related to building entities and their specific descriptors. To foster adaptability across various applications and disciplines, a semantic annotation scheme is introduced that is firmly rooted in the Industry Foundation Classes (IFC) schema. By taking a comparative approach, we conducted a series of experiments to identify the strengths and weaknesses of traditional and emergent deep learning architectures for the task at hand. Our findings underscore the critical importance of domain-specific and context-dependent embedding learning for the effective extraction of building entities and their respective descriptions.

Research domains

Six areas of research to contribute to the development of the construction industry.

Research team

The GRIDD research team consists mainly of four professors. Discover their expertise by browsing their respective profiles, and don’t hesitate to contact them!

Erik Poirier
Ivanka Iordanova
Ali Motamedi
Gabriel Jobidon

Our address

The GRIDD laboratory is located in A-1540 at École de technologie supérieure (ÉTS). If you’d like to get in touch with the laboratory, please don’t hesitate to contact us!

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