Mingchuan Luo
Research Associate
NameDipl.-Ing. Mingchuan Luo
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Chair of Air Transport Technology and Logistics
Visiting address:
Gerhart-Potthoff-Bau (POT), Room 166 Hettnerstraße 1-3
01069 Dresden
Mingchuan Luo received the Diploma degree (Dipl.-Ing.) in electrical engineering from Technical University Dresden, Germany, where he is currently pursuing a Ph.D. degree at the Chair of Air Transport Technology and Logistics. His research mainly focuses on airport management, multi-agent model to investigate the airport operations, and the data-driven methods to support airport digital transformation, in particular machine learning algorithms and their application to the complex airport environment.
Research Interests
- Total airport management
- Multi-agent based modelling (Digital twin) to support airport ground resource planing
- Multi-agent reinforcement learning to Airport CDM
- Data analysis in airport ground operations
Reseach Projects
IMHOTEP: Integrated Multimodal Airport Operations for Efficient Passenger Flow Management
Publications
- Mingchuan Luo, Michael Schultz, Hartmut Fricke, and Bruno Desart, (2022). Data-driven fusion of turnaround sub-processes to predict aircraft ground time. In ATRS, 2022, Antwerp, Belgium. The four finalists for Conference Best Paper Award.
- Miguel Mujica Mota, Paolo Scala, Michael Schultz, Daniel Lubig, Mingchuan Luo, and Edgar Jimenez Perez , (2021). The Rise of the Smart Passenger I: Analysis of impact on Departing Passenger Flow in Airports. In 11th SESAR Innovation Days.
- Mingchuan Luo, Michael Schultz, Hartmut Fricke, Bruno Desart, Floris Herrema, and Roc ́ıo Barrag ́an Montes, (2021), Agent-based simulation for aircraft stand operations to predict ground time using machine learning. In DASC, 2021. Best paper award in session Airport surface operations.
- Michael Schultz, Mingchuan Luo, Daniel Lubig, Miguel Mujica Mota, Paolo Scala, (2021). COVID-19-RELATED CHALLENGES FOR NEW NORMALITY IN AIRPORT TERMINAL OPERATIONS. In Winter Simulation Conference 2021.