Energy
Scope: Modeling and analysis of energy systems provides an integrative perspective that links energy system engineering (e.g., control, operations, and planning) with broader social and behavioral considerations (e.g., economic, regulatory, and policy frameworks that impact energy systems). The Ohio State University hosts a unique program in the modeling and analysis of energy systems that bundles world-class expertise in energy-system modeling, operation research tools, microeconomic analysis, and regulatory and policy expertise.
Concentration Faculty: Guzin Bayraksan, Antonio Conejo, Chen Chen
Optimization
Scope: Optimization is a scientific approach to decision-making for complex systems. It utilizes mathematical models that are abstract representations of the actual system. Due to its versatility and wide ranging impact, optimization serves as a keystone in operations research and analytics. Our research spans theory, the design of algorithms, computational innovation, and modeling for a wide range of applications. We seek to develop flexible, robust, and scalable techniques that can handle complex mathematical structures arising from real-world problems.
Concentration Faculty: Guzin Bayraksan, Chen Chen, Antonio Conejo, Sam Davanloo, Marc Posner, Xian Yu
Machine Learning
Scope: The operations research group’s expertise covers theoretical, computational, and applied research in data analytics and machine learning. We develop methodologies and best practices for data-driven decision-making, motivated by a broad set of real-world problems. All forms of analytics are considered: descriptive, predictive, and prescriptive.
Concentration Faculty: Ted Allen, Guzin Bayraksan, Chen Chen, Sam Davanloo, Marc Posner, Cathy Xia, Xian Yu
Stochastic Modeling and Simulation
Scope: Research in this area concerns developing suitable stochastic models, simulation-based optimization methods, analytical or approximation methods for predicting performance, helping make strategic decisions on resources, and identifying the optimal design for such systems.
Concentration Faculty: Ted Allen, Guzin Bayraksan, Cathy Xia, Xian Yu
Digital Twin
Scope: Our research focuses on building digital models of an intended or actual real-world physical product, system, or process (a physical twin) that serves as the effectively indistinguishable digital counterpart of it for practical purposes, such as simulation, integration, testing, monitoring, and maintenance.
Concentration Faculty: Ted Allen