Mingchuan Luo

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Research Associate

Name

Dipl.-Ing. Mingchuan Luo

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Organization Name

Chair of Air Transport Technology and Logistics

Chair of Air Transport Technology and Logistics

Address work

Visiting address:

Gerhart-Potthoff-Bau (POT), Room 166 Hettnerstraße 1-3

01069 Dresden

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work Tel.

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  and reinforcement 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
• Reinforcement learning to Airport CDM
• Data analysis in airport ground operations
• Collision detection and avoidence methods for UAVs

Finished Reseach Projects

IMHOTEP: Integrated Multimodal Airport Operations for Efficient Passenger Flow Management

ABM4APOC: Use of agent-based modelling in support to APOC decision-making processes and Total Airport Management, including passenger flow and turnaround

Current Reseach Projects

Air-Take-Off:Collision avoidance between drones and manned aviation with the application case of air take-off in the Lausitz region

Publications

11 Entries

2019

• Initial concept of an oracle-structured stream compression protocol for arbitrary network flowsTömösközi, M., Luo, M., Fitzek, F. H. & Ekler, P., 2019, European Wireless 2019 Conference, EW 2019. VDE Verlag, Berlin [u. a.], p. 114-119, 6 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution

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Supervised student thesis

• Assessment of existing and design of improved Collision Avoid-ance Algorithms for Unmanned Aerial Vehicles (2025)
• Reinforcement learning-enabled airport ground service decision automation (2024)
• Scheduling of a mixed fleet of petroleum and electric powered ground vehicles for a sustainable airport management (2023)
• Interaction model of the ground handling agents to enhance aircraft turnaround activities cooperation (2023)