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    • Keji Wei
    Keji Wei

    I am a tenured Associate Professor in the Department of Management Science and Engineering at the School of Economics and Management , Tongji University.

    My research focuses on the intersection of data analytics, optimization, and transportation, with a particular emphasis on the aviation industry.
    By leveraging data-driven approaches, I seek to address challenges in aviation operations and contribute to the optimization of transportation systems.

    Education:

    Ph.D., Operations Research, Dartmouth College

    Co-advisors: Professor Vikrant Vaze, Professor Alexandre Jacquillat

    B.S., Automation, Xian Jiaotong University

    EDUCATION EXPERIENCE TEACHING AND RESEARCH SERVICE AWARDS/RECOGNITION

    Education:

    Ph.D., Operations Research, Dartmouth College

    Co-advisors: Professor Vikrant Vaze, Professor Alexandre Jacquillat

    B.S., Automation, Xian Jiaotong University

    • Senior Operations Research Engineer, Civil Flight Services, CAE Apr 2022 - Apr 2023
      Airline Aircraft Recovery Module (RMOPS) : Norbert Lingaya
    • Airline Passenger Recovery Module (Reaccomm) : Sureshan Karichery Sep 2019 - Mar 2022
    • Research Assistant, Dartmouth College Aug 2018 - Aug 2019
      Performance Improvement of Crew Trip (Pairing) : Vikrant Vaze, Sujayandra Vaddagiri
    • Operations Research Intern, Sabre Airline Solutions May 2018 - Aug 2018
      Large Scale Fleet Assignment with Infeasibility Finder: Xiaodong Luo

    My research lies at the intersection of optimization, data analytics, and transportation.

    Google Scholar

    ## Under Review
    - [Optimization of Courier-Order Matching and Delivery Performance in Time Delivery Systems]with Y.Fan, Y.Cao, X.Xiong **Under Review by Transportation Science** - [Github]
    - [Graph Attention Networks for Efficient Construction of Arc-Based Transportation Network Models] with V. Vaze **Major Revision by Transportation Science**
    - [The Role of Cycling Infrastructure in Reshaping Urban Transport Emissions] with X. Niu, S. Liu, J. Zhang **Under Review by PNAS**
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    ## Selected Published Work
    - [A Machine Learning Approach for Solution Space Reduction in Aircraft Disruption Recovery]with N. Rashedi, N. Sankey,V. Vaze **European Journal of Operational Research （2025）**
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    - [Transit planning optimization under ride-hailing competition and traffic congestion] with V. Vaze, and A. Jacquillat. **Transportation Science (2021)**
    - [Schedule Planning and Endogeneity of Travelers' Decisions in Congested Large-Scale Transportation Networks] **Dartmouth PhD Thesis (2019)**
    - INFORMS AAS Dissertation Prize (2020)
    - [Airline Timetable Development and Fleet Assignment Incorporating Passenger Choice] with V. Vaze, and A. Jacquillat. **Transportation Science (2019)**
    - Winner of the 2019 Anna Valicek Award (2019) [Techxplore]

    - [Simulation Analysis and Comparison of Point of Care Testing and Central Laboratory Testing] with R.Harder, K. Wei, V. Vaze, and J. Stahl. **Medical Decision Making: Policy & Practice**

    - [Modeling Crew Itineraries and Delays in the National Air Transportation System]with V. Vaze. **Transportation Science (2018)**
    - Finallist of the 2017 Anna Valicek Award (2019) [Sciencedaily]

    - [Energy-efficient rail guided vehicle routing for two-sided loading/unloading automated freight handling system] with W.Hu, J.Mao and K.Wei. **European Journal of Operational Research**
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    ## Working Papers
    - [Airline Fleet Assignment and Timetabling with Context-dependent Choice model]() with X. Niu,
    Y.Cao** **
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    NFORMS, AVIATION APPLICATIONS SECTION
    • Chair and Member of the Best Student Presentation Competition Committee, 2021,2022
    • Cluster Chair, 2021
    • Session Chair, 2016-present
    Air Transport Research Society China Chapter
    • Liaison Committee Tongji University, 2023 - 2026
    International Workshop on Computational Transportation Science,
    • Session Chair, 2024
    Reviewer Ad hoc referee for Transportation Science, INFORMS Journal on Computing, Transportation
    Research B and C, Computers & Industrial Engineering, Omega, OR Spectrum, Journal of Big Data
    Analytics in Transportation, Journal of Transportation Engineering and Information, AGIFORS Anna
    Valicek Award (2022 - 2024),
    Membership: Institute for Operations Research and the Management Sciences (INFORMS), Airline
    Group of the Int. Fed. of Operational Research Societies (AGIFORS)

    - [Dartmouth Engineering Study Shows Machine Learning Can Help Airlines Recover Faster After Disruptions] on how to apply machine learning tools can save precious time—and therefore money—in the decision-making process for aircraft scheduling recovery. **Dartmouth College, Dec 2024**.
    - [Flying In The Face of Danger Keji Wei Th'19 is re-designing the technology of Airline travel] on my personal avation journey in acedmeia and industry. **Dartmouth Engineering Magazine, Summer 2021**.
    - [Featured Article] During a personal interview, I shared my understanding of aviation recovery systems and  insights into life at Sabre, a leading technology provider for the travel industry. **AAS Newsletter, MAY 2021**.
    - I helped redesign the transit schedule to achieve a win-win-win situation for passengers, operators, and the overall system
    - I have contributed to the development of an innovative flight scheduling approach that, when implemented, has the potential to generate substantial profit gains for airlines while also offering passengers more flight options that cater to their preferences.
      - **Dartmouth College** [Thayer Engineers and MIT Create New Airline Scheduling Tools], JAN 2021.
    - I have helped to explain the complex reality of crew scheduling and provides an inside look at the techniques used by airlines to absorb system delays.
    X Thank you for your interest in Master of Global Management, Tongji University!