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Camélia Dadouchi
B.Eng, Ph.D

Phone: (514) 340-4711 Ext. 4566 Fax: (514) 340-4086 Room: A-305.2

Research interests and affiliations

Research interests
  • 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


Recent publications
Journal article
Dadouchi, C., Agard, B. & Montreuil, B. (2022). Context-Aware Interactive Knowledge-Based Recommendation. SN Computer Science, 3(6), 14 pages. Retrieved from
Journal article
Dupuis, A., Dadouchi, C. & Agard, B. (2022). Predicting crop rotations using process mining techniques and Markov principals. Computers and Electronics in Agriculture, 194, 16 pages. Retrieved from
Journal article
Dadouchi, C. & Agard, B. (2021). Recommender systems as an agility enabler in supply chain management. Journal of Intelligent Manufacturing, 32(5), 1229-1248. Retrieved from
Conference paper
Dadouchi, C. & Agard, B. (2020). Considering quasi-real time delivery information in product recommendation. Paper presented at the 8th International Conference on Information Systems, Logistics and Supply Chain: Interconnected Supply Chains in an Era of Innovation (ILS 2020), Austin, TX (pp. 180-187).


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.


IND6208A – Conception of just-in-time systems


  • Post-Doc
  • Research Stay Georgia Institute of Technology
  • Ph.D from Polytechnique Montréal
  • Bachelor’s degree from Polytechnique Montreal

Press review about Camélia Dadouchi

November 24, 2021, Agence Science-Presse, Dessine-moi un scientifique: les biais de genre en science Quels sont les biais de genre en science? Isabelle Burgun en parle avec 3 panélistes dont Camélia Dadouchi, professeure adjointe au Département de mathématiques et de génie industriel de Polytechnique Montréal.