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Sila Çetinkaya
Department Chair and Professor
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- Stochastic dynamic optimization
- Applied probability and stochastic modeling
- Decision making under uncertainty
- Inventory theory
- Supply chain operations and management
- Supply Chain contract design
- Transportation logistics with a focus on shipment consolidation
- Healthcare operations
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Miju Ahn
Assistant Professor
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- Computational optimization
- Machine/statistical learning
- Operations research
- Big data science
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Richard Barr
Associate Professor
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- Network and integer-programming optimization algorithms and models for large-scale industry applications
- Computational data analytics including optimization-based machine learning and data fusion high-performance classical and quantum computing methods for optimization
- Empirical benchmarking and analysis of algorithms via computational experiments
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Digvijay Boob
Assistant Professor
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- Nonlinear programming
- Design and analysis of algorithms
- Machine learning theory
- Data-driven (stochastic) optimization
- First-order methods for optimization and min-max games
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Harsha Gangammanavar
Assistant Professor
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- Large scale optimization
- Stochastic optimization
- Power systems operations and market design
- Health care operations
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Michael Hahsler
Clinical Associate Professor |
- Artificial Intelligence
- Machine Learning
- Data Mining
- Data Science
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Eojin Han
Assistant Professor
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- Optimization under Uncertainty
- (Distributionally) Robust Optimization
- Dynamic Optimization, with application to supply chain management, healthcare and revenue management
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Eli Olinick
Associate Professor
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- Heuristics
- Integer Programming
- Linear Programming
- Network Flows
- Classification and Clustering
- Telecommunications
- Transportation
- Social Network Analysis
- Sports Analytics
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Aurelie Thiele
Associate Professor |
- Advanced analytics
- Decision-making under high uncertainty
- Robust optimization
- Risk Management
- Portfolio management
- Pricing and revenue management
- Design of healthcare financing systems
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Halit Üster
Professor
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- Transportation and logistics
- Network design
- Decomposition methods for optimization
- Stochastic optimization
- Applied and computational optimization with applications in freight transportation, emergency response, bioenergy supply networks, closed loop supply chains, and telecommunications
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