Research

Machine learning and artificial intelligence are shaping the current and future practices in business management and decision making, thanks to the vast amount of available data, increase in computational power, and new optimization algorithms.

Stochastic modeling and its primary computational tool, simulation, are both essential components of Operations Research that are built upon probability, statistics, and stochastic processes to study complex physical systems. Such systems often take the form of ...

Financial engineering (FE)  is a highly interdisciplinary field that makes use of the theoretical developments in financial economics, applied mathematics, operations research, statistics and computer science. The broad and extensive applications of FE have ...

Optimization theory and algorithms are foundational building blocks of Operations Research and Data Science. This is a major research area in the IEOR department, with significant emphasis on both discrete optimization (including integer and combinatorial...

The goal of operations management (OM) is to leverage mathematical models, algorithms, and analysis tools to understand and optimize key operations problems. Examples include the scheduling of appointments at a healthcare clinic, supply chain planning for an  ...