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Ansari, Sina
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Boada-Collado, Pol
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Bollapragada, Vijaya Raghavendra
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Duque Villarreal, Daniel
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Escallon-Barrios, Mariana
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Optimization
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Service Operations
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Machine Learning
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Queueing
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Robust Optimization
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Operations research
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Theory and Practice in Supply Chain Management: From Sourcing to Fulfillment
Methods for Deterministic and Stochastic Optimization
On the Disconnect Between the Modeling and Evaluation in Radiation Therapy
Pricing Mechanisms in Competitive Electricity Markets
Essays on Improving System’s Throughput, Customer’s Wait-time and Customer’s Satisfact...
Real-time Operation of Shared-use Autonomous Vehicle Mobility Services: Modeling, Opti...
An Operations Management Approach to Value-Based Health Care
Decomposing Optimization Problems Under Stochastic Disruptions
Optimization and Preference Learning for Dynamic Price of Demand Response in Smart Grid
Optimization under Variable Uncertainty
Leveraging Structure in Public School Transportation Problems
Risk-averse and Distributionally Robust Multistage Stochastic Optimization
Inference in Queues
Essays in Service Operations: Innovations and Challenges
Leveraging Structure of Uncertainty for Adaptive Policies in Multistage Decision-Making
Reducing and Measuring Input Model Risk in Stochastic Simulation
Performance Approximation and Scheduling Control for Large-Scale Queueing Systems
Computational Aspects of Discrete Optimization via Simulation with Gaussian Markov Ran...
Optimization Methods for Scale Invariant Problems in Machine Learning
Supply Chain Operations with Partial Demand Information and Customer Behavior
Eliciting and Leveraging Information in Operations: Tractable Approaches using Robust ...
Economics of Service Operations: Information, Simplified Controls and Omnichannel Serv...
Statistical Methods in Financial Markets
Travel Time Reliability in Stochastic Dynamic Transportation Networks: Modeling, Path ...
Topics in Machine Learning Optimization
Methods for Stochastic, Noisy, and Derivative-Free Optimization
A Novel Parallel Adaptive Survivor Selection Framework for Large-Scale Simulation Opti...
Data-Driven Analytics in Healthcare Operations
Essays on the Interplay of Supply Chain Management and Market Growth
Data-Driven Optimization of Patient Pathways for Healthcare Delivery
Essay on Foundation Models and Reinforcement Learning
Methods for Derivative-Free Optimization with Applications in Machine Learning
Generalized Submodular Optimization: Theory, Algorithms and Applications
Efficient Second-Order Methods for Second-Order Cone Programs and Continuous Nonlinear...
Closing the supply-demand gap: Scheduling policies for volunteer organizations