Construction Project and Processes Intelligence Across the Project Lifecycle

This project is a partnership between Concordia University and Aedo AI, to upgrade an existing construction project data repository into an intelligent platform for analyzing project performance and providing advanced analytics based on (i) correlations between projects’ different facets (including actors involved, the facility being built, and workflow processes being executed); and (ii) interactions among different phases of the project (such as planning, construction, commissioning and operation). Components of Artificial Intelligence including ontology engineering; process mining and data mining will be employed to take the existing Aedo platform to the next level by introducing intelligence in two parallel streams; i.e., creating a semantic foundation (top-down intelligence); and incorporating advanced data mining (bottom-up intelligence) to discover and analyze end-to-end business processes. The resulted platform will help construction companies better interpret their performance and make data-driven decisions based on the analytics of their previous projects.

Faculty Supervisor:

Mazdak Nik-Bakht;Mohamed Ouf

Student:

Partner:

Aedo AI Inc.

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

Concordia University

Program: