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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

Publications

Recent publications
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 https://doi.org/10.1007/s10845-020-01619-5
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).
Conference paper
Dadouchi, C., Agard, B. & Montreuil, B. (2019). Recommandation interactive, une solution au démarrage à froid. Paper presented at the 13e Congrès international de génie industriel (CIGI 2019), Montréal, Québec, Canada.
Journal article
Dadouchi, C. & Agard, B. (2018). Lowering penalties related to stock-outs by shifting demand in product recommendation systems. Decision Support Systems, 114, 61-69. Retrieved from https://doi.org/10.1016/j.dss.2018.08.004

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