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Miao, Sentao

Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • His research interests are mainly in developing efficient learning and optimization algorithms with various applications in Operations Management. For methodologies, Sentao Miao focuses on statistical and machine learning algorithms such as online learning, multi-arm bandit problem, reinforcement learning; he is also interested in approximation algorithms with provable performance. For applications, he mainly works on operations management problems such as dynamic pricing, assortment selection, inventory control, etc.

keywords

  • Machine learning, retail analytics

Teaching

courses taught

  • MGMT 3100 - Operations Management
    Primary Instructor - Spring 2024
    Examines concepts, tools and techniques used in the management of service operations. Focuses on how firms add value and compete with high quality and efficient services. Emphasizes the use of models for designing new products services and improving the effectiveness of service processes. Studies the application of technology in the context of productivity, growth and the globalization of manufacturing and services.
  • MGMT 4820 - Decision Analytics
    Primary Instructor - Fall 2024 / Fall 2025
    This course prepares students to thrive in analytics-driven organizations. Students will explore the capabilities and challenges of data-driven business decision making. The course will introduce a set of common analytics tools. Students will have opportunities to apply the analytics tools to business problems based on practical data sets from various companies. Excel spreadsheet and several other software packages will be used extensively in the course. The class will be conducted with a combination of lectures, case discussions, lab sessions, and student presentations. Grading will be based on several problem sets, exams, case reports, and a final project. Same as MGMT 5820.
  • MSBC 5680 - Optimization Modeling
    Primary Instructor - Fall 2025
    Focuses on formulating decision problems as mathematical models and employing computational tools to solve them. Microsoft Excel is used as the main modeling platform but the course will also cover advanced tools, such as modeling languages. Optimization modeling will be illustrated in problems associated with operations, marketing, management, and finance. Integrates topics from decision analysis and operations management as they relate to modeling management decisions.
  • OPIM 7330 - Advanced Operations Management Modeling
    Primary Instructor - Fall 2024
    Covers concepts, models and solution techniques relevant to the management of the processes required to provide goods or services to consumers. Emphasizes supply chain systems topics such as production, inventory, distribution and scheduling. Management science and operations research methodology is also applied to problems such as facility capacity planning, facility design and location analysis.

Background

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