Fatme Makssoud
Assistant Professor- f.makssoud@bau.edu.lb
- Debbieh
- 07 985080 Ex: 3473
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About
Dr. Fatme Makssoud is an Assistant Professor at the Industrial Engineering and Engineering Management Department at Beirut Arab University (BAU), Debbiyeh, a position she has held since September 2025.
She holds a PhD in Industrial and Computer Engineering from the École Nationale Supérieure des Mines de Saint-Étienne, France (2011–2014), as well as an MSc in Computer Science (Information Systems) and a Bachelor's degree in Computer Science, both from Claude Bernard Lyon University, France. In 2015, she was qualified by the French National Council of Universities as an Assistant Professor in both Industrial Engineering, Automatic and Signal Processing (Section 61) and Computer Science (Section 27).
Prior to her academic career, Dr. Makssoud gained industry experience as a Research & Development Engineer at PCI-SCEMM, a French designer and manufacturer of machining systems, and as a Development Engineer with Sopra, working on a SAP engineering mission for the Sanofi Pasteur Group in Lyon, France.
Her research interests center on the optimal design and reconfiguration of production lines, combinatorial and continuous optimization, and supply chain management and logistics, drawing on mathematical programming solvers such as CPLEX, Xpress-MP. Her work has been published in international peer-reviewed journals, including Assembly Automation and the International Journal of Advanced Manufacturing Technology, as well as in several Springer book chapters and numerous international conference proceedings.
Beyond research, Dr. Makssoud has an extensive teaching portfolio spanning production and operations management, stochastic operations research, supply chain and project management, manufacturing process design, and information systems, delivered at institutions in both Lebanon and France, including Jean Monnet University, Lyon II University, ECE, and EPSI. She is also an active reviewer for the International Journal of Production Research (IJPR) and for IFAC's Conference on Manufacturing Modeling, Management and Control.
Dr. Fatme Makssoud is an Assistant Professor at the Industrial Engineering and Engineering Management Department at Beirut Arab University (BAU), Debbiyeh, a position she has held since September 2025.
She holds a PhD in Industrial and Computer Engineering from the École Nationale Supérieure des Mines de Saint-Étienne, France (2011–2014), as well as an MSc in Computer Science (Information Systems) and a Bachelor's degree in Computer Science, both from Claude Bernard Lyon University, France. In 2015, she was qualified by the French National Council of Universities as an Assistant Professor in both Industrial Engineering, Automatic and Signal Processing (Section 61) and Computer Science (Section 27).
Prior to her academic career, Dr. Makssoud gained industry experience as a Research & Development Engineer at PCI-SCEMM, a French designer and manufacturer of machining systems, and as a Development Engineer with Sopra, working on a SAP engineering mission for the Sanofi Pasteur Group in Lyon, France.
Her research interests center on the optimal design and reconfiguration of production lines, combinatorial and continuous optimization, and supply chain management and logistics, drawing on mathematical programming solvers such as CPLEX, Xpress-MP. Her work has been published in international peer-reviewed journals, including Assembly Automation and the International Journal of Advanced Manufacturing Technology, as well as in several Springer book chapters and numerous international conference proceedings.
Beyond research, Dr. Makssoud has an extensive teaching portfolio spanning production and operations management, stochastic operations research, supply chain and project management, manufacturing process design, and information systems, delivered at institutions in both Lebanon and France, including Jean Monnet University, Lyon II University, ECE, and EPSI. She is also an active reviewer for the International Journal of Production Research (IJPR) and for IFAC's Conference on Manufacturing Modeling, Management and Control.