Dr. Yassine Yaakoubi

Biography

Yassine Yaakoubi is an Assistant Professor in the Department of Mechanical, Industrial and Aerospace Engineering at Concordia University. He specializes in various sophisticated domains within optimization and machine learning. His research interests are primarily centered around Machine Learning-Augmented Optimization, which integrates machine learning techniques with traditional optimization methods. Additionally, he explores Probabilistic Machine Learning and Large-Scale Combinatorial Optimization. His work on Stochastic Programming addresses complexities involved in real-world decision-making processes, particularly under conditions of uncertainty. Yaakoubi is also focused on Uncertainty Quantification to ensure robust models in optimization contexts. His expertise extends to Supply and Value Chain Optimization, which is crucial for improving operational efficiency in various sectors. Furthermore, he investigates Decision Support Systems for Climate Change Adaptation and Mitigation, as well as applications in Mining and Aviation, highlighting his commitment to addressing critical global challenges through engineering solutions. Intelligent Transportation Systems represent another area of his research, where he aims to enhance safety and efficiency in transportation networks through innovative technologies.

Research Interests