Bruno Agard

Bruno Agard is a Full Professor in the Department of Mathematics and Industrial Engineering at Polytechnique Montréal, specializing in industrial engineering, data mining, and Industry 4.0 applications. He serves as Director of the Data Intelligence Laboratory (LID) and holds memberships in multiple research centers including the Poly-Industries 4.0 Laboratory, IVADO, CIRRELT, and CIRODD. His academic career spans over two decades with progressive roles from Assistant to Full Professor since 2014.

• Ph.D. in Industrial Engineering (2002), National Polytechnic Institute of Grenoble
• DEA in Industrial Engineering (1999), National School of Industrial Engineering, Grenoble
• Aggregation in Mechanical Engineering (1998), École Normale Supérieure de Cachan

Professor Agard's research focuses on data mining applications for engineering challenges across manufacturing, logistics, transportation, and agriculture. Key areas include product family design, modular systems, delayed differentiation, and spatiotemporal data analysis. Recent publications highlight AI-driven energy consumption modeling for electric buses, sensor failure detection using variational autoencoders, and optimization of agri-food processes through data intelligence.

His work demonstrates strong industry collaboration with partners like Air Liquide, Bridgestone, and La Milanaise across 221 publications. Current projects involve real-time data processing for mining equipment, predictive maintenance analytics, and smart card data analysis for urban mobility patterns.

• 13 Ph.D. students supervised
• 29 Master's students mentored
• Current courses: Facilities Planning (IND3303), Industrial Data Mining (IND6212)

As Director of LID, he leads interdisciplinary research integrating machine learning with industrial systems, with special emphasis on sustainable development and operational efficiency. His methodological contributions include innovative approaches to product design, process optimization, and knowledge extraction from complex datasets.