Department of Chemical Engineering
Chemical engineering Adaptive, learning and evolutionary systems Control systems Applied statistics Modelling and simulation studies Optimization
Modeling and Artificial Intelligence
Energy, Water and, Resources Industry of the Future and Digital Society
Research interests and affiliations
- Process Data Analysis
- Machine Learning
- Process Diagnosis
- Real-time optimization
- Control Systems
- Pulp and Paper
- Petrochemistry
- Power Generation
- 1800 CHEMICAL ENGINEERING
- 2509 Control systems
- 2510 Adaptive, learning and evolutionary systems
- 2715 Optimization
- 2717 Modelling and simulation studies
- 3004 Applied statistics
Publications
Biography
Moncef Chioua is an Assistant Professor of Chemical Engineering at Polytechnique Montréal. His research focuses on process data analysis with applications in industrial processes monitoring and process operators support systems.
Prof. Chioua was a member of the process data analysis and optimization research group at ABB Corporate Research Center in Ladenburg, Germany between 2008 and 2020. He was a member of the process control research group at PAPRICAN, Pointe- Claire (now FP- Innovations) from 2003 to 2004.
Prof. Chioua holds a PhD. from Polytechnique Montréal, an engineering degree from the École Supérieure des Sciences et Technologies de l'Ingénieur de Nancy (ESSTIN) and a Diplôme d'Études Approfondies (DEA) from the National Polytechnic Institute of Lorraine (INPL).
Education
- Diplôme d'ingénieur - spécialisation automatique des procédés continus (E.S.S.T.I.N)
- DEA - Control Systems and Digital Signal Processing (INPL)
- Ph.D. - Chemical Engineering (Polytechnique Montréal)
Supervision at Polytechnique
COMPLETED
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Master's Thesis (1)
- Nguyen, B. (2024). Interpretable Neural Network Models for Fault Detection and Diagnosis in Chemical Process Systems [Master's thesis, Polytechnique Montréal].
