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Technische Universität München

Ningkang Yang

Ningkang Yang is a Ph.D. candidate at Technical University of Munich (TUM) since October 2023. His research focuses on traffic prediction, spatial-temporal data mining and the application of advanced machine learning methods in intelligent transportation systems. He is currently working on the Transport MOde Detection and Analysis (MODA) project.

Ningkang Yang holds a bachelor’s degree in Road, Bridge and River-Crossing Engineering from Jilin University (JLU), China, and a Master of Science in Transportation Systems from Technical University of Munich (TUM), Germany.

Education

Oct. 2023 – Present Ph.D. Candidate
Technical University of Munich (TUM)
Oct. 2021 – Mar. 2023

Master of Science in Transportation Systems
Technical University of Munich (TUM)
Thesis: Transfer learning for transportation systems resilience estimation using floating car data
Sep. 2017 – Jun. 2021 Bachlor of engineering in Road, Bridge and River-Crossing Engineering
Jilin University (JLU) Changchun, China

Teaching

  • Cross-Cutting Fundamentals and Methods
  • Special Topic on Model Calibration
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