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Zhang, Rui

Assistant Professor

Positions

Research Areas research areas

Research

research overview

  • His research interests are quantitative methods, especially prescriptive analytics techniques. His work focuses on developing novel methods for revenue management problems and influence maximization problems on social networks. Other than that, he also works on new operation modes for last-mile delivery problems. His work has been published in Operations Research, MSOM, INFORMS Journal on Computing, INFORMS Journal on Optimization, Naval Research Logistics, European Journal of Operational Research, Networks, and Computers & Operations Research, among others. A collection of his work was selected as the runner-up for the 2022 INFORMS Computing Society (ICS) Prize.

keywords

  • approximate dynamic programming, reinforcement learning, optimization problems, social networks, logistics, pricing, integer programming revenue management, network optimization

Publications

selected publications

Teaching

courses taught

  • EMEN 4120 - Managing Business Processes
    Primary Instructor - Spring 2019 / Spring 2020 / Spring 2021
    Covers the concepts and tools to design and manage business processes. Emphasizes modeling an analysis, information technology support for process activities, and management of process flows. Graphical simulation software is used to create dynamic models of business processes and predict the effect of changes. Prepares students for a strong management or consulting career path in business processes. Same as MGMT 4120 & MGMT 5120.
  • INFO 5931 - Internship
    Primary Instructor - Summer 2021
    Internship
  • MBAX 6843 - Supply Chain and Operations Analytics
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021 / Fall 2021
    Analyzes key issues related to the design and management of operations and supply chains using quantitative tools such as linear, integer, and non-linear programming, regression, and statistical analysis. Covers important topics such as forecasting, aggregate planning, inventory theory, transportation, risk pooling, production control and scheduling, and facilities location, among others. Uses mathematical modeling, spreadsheet analysis, case studies, and pedagogical simulations to deliver material.
  • MGMT 4120 - Managing Business Processes
    Primary Instructor - Spring 2018 / Spring 2019 / Spring 2020 / Spring 2021
    Covers the concepts and tools to design and manage business processes. Emphasizes modeling an analysis, information technology support for process activities, and management of process flows. Graphical simulation software is used to create dynamic models of business processes and predict the effect of changes. Prepares students for a strong management or consulting career path in business processes. Same as MGMT 5120 and EMEN 4120.
  • MSBC 5180 - Machine Learning in Python
    Primary Instructor - Fall 2021 / Fall 2022 / Fall 2023
    This course exposes the students to commonly used platforms for statistical and predictive analytics. The class will go into depth of analytics using Python. Students will learn to analyze large datasets, including textual analytics such as twitter-stream analysis. The class will focus on predictive analytics.

Background

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