The Ph.D. in Operations Research at Cornell University prepares students to solve complex problems in optimization, decision-making, and systems engineering. Students work on research projects that apply quantitative methods to real-world challenges across industries such as healthcare, finance, logistics, and more.
Development of Advanced Optimization Algorithms for Large-Scale Systems
Machine Learning Approaches to Predictive Maintenance in Manufacturing
Optimization Models for Efficient Supply Chain Management
Designing Algorithms for Real-Time Traffic Flow Management in Urban Areas
Data-Driven Decision Making in Healthcare Resource Allocation
Exploring Stochastic Modeling for Financial Risk Management
Application of Game Theory in Supply Chain Management
Designing Efficient Resource Allocation Models for Renewable Energy Systems
Optimization of Airline Scheduling and Route Planning Systems
Developing Algorithms for Dynamic Pricing in E-Commerce
Mathematical Modeling of Epidemic Spread and Healthcare System Response
Application of Simulation in Production Planning and Inventory Control
Development of Predictive Models for Fraud Detection in Financial Transactions
Stochastic Processes in Telecommunications Network Design
Big Data Analytics for Optimizing Operational Efficiency in Retail
Machine Learning Algorithms for Dynamic Traffic Routing
Optimization of Waste Management and Recycling Systems in Urban Areas
Exploring Decision Support Systems for Disaster Response and Recovery
Developing Robust Algorithms for Disaster Management and Humanitarian Logistics
Optimization in Multi-Criteria Decision Making for Sustainable Development
Tackle complex optimization and decision-making problems with Cornell’s Ph.D. program in Operations Research, focusing on data analytics, supply chain management, and machine learning applications.
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