Department of Mathematical and Industrial Engineering
Research interests and affiliations
- Analytics and decision making
- Integration and exploitation of data (production, supply chains, geographic data)
- Development of methods and tools for processing and valorization of industrial data
- Industry 4.0: Increase in the monitoring, control, optimization and autonomy capacities of companies using data from sensors and on-board systems.
- Machine learning
- Industrial Engineering
- Logistics
Publications
Biography
Passionate about Exploratory Data Analysis and data mining, Professor Dadouchi is an Assistant Professor at Ecole Polytechnique de Montréal, specializing in Data Analytics and Decision Making.
She holds a bachelor's and a doctorate in industrial engineering from Ecole Polytechnique de Montréal. She also completed a research stay at Georgia Institute of Technology as well as an industrial post-doc.
Before joining Polytechnique de Montréal she worked as an Assistant Professor in Industry 4.0 at Laval University.
Professor Dadouchi combines an expertise in the field of industrial engineering with the knowledge of analytical techniques, machine learning and artificial intelligence. Thus, she supports companies towards sustainability through the training of the next generation of leaders and the creation of research work leading to solutions adapted to the various problems industry players are facing.
When it comes to supervision, Professor Dadouchi favors a human approach in order to allow students to exploit their full potential.
Professor Dadouchi aims to offer her students the chance to solve real-life problems in partnership with industrial companies, in order to sharpen their analytical and critical thinking while developing their technical and human skills.
Teaching
IND6208A – Conception of just-in-time systems
Education
- Post-Doc
- Research Stay Georgia Institute of Technology
- Ph.D from Polytechnique Montréal
- Bachelor’s degree from Polytechnique Montreal
Supervision at Polytechnique
COMPLETED
-
Ph.D. Thesis (1)
- Dupuis, A. (2024). Modèles d'intelligence artificielle pour la prise de décision séquentielle : l'apprentissage profond appliqué à la production manufacturière et agricole [Ph.D. thesis, Polytechnique Montréal].
-
Master's Thesis (3)
- Deschamps, C. (2024). Méthode de valorisation de données pour la gestion des pièces de rechange selon leur historique de consommation [Master's thesis, Polytechnique Montréal].
- Guendon, M. (2022). Méthode de valorisation de données de production pour l'évaluation des pertes de cadence [Master's thesis, Polytechnique Montréal].
- Puech, L. (2022). Méthode d'analyse causale des défauts sur une ligne d'assemblage multiproduit [Master's thesis, Polytechnique Montréal].
Press review about Camélia Dadouchi
