Martin Lindner

Wissenschaftlicher Mitarbeiter
NameDr.-Ing. Martin Lindner
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Professur für Technologie und Logistik des Luftverkehrs
Besuchsadresse:
Gerhart-Potthoff-Bau (POT), Raum 167 Hettnerstraße 1-3
01069 Dresden
RESUME
Dr. Martin Lindner is a researcher at TU Dresden, specializing in aircraft performance and trajectory optimization in the context of sustainable and efficient aviation since 2015. He is a postdoctoral researcher in the RTG AirMetro program, where he leads interdisciplinary collaborations. Additionally, he serves as the head of the Skylab at TU Dresden, focusing on a broad spectrum of topics, including drone and VTOL aircraft technology, logistics, traffic planning, and sensor systems. As a lecturer, he actively contributes to teaching in the field of air transport. He co-teaches the foundational course Air Transport Systems and leads the Airline Management course, where he inspires students to explore creativity and technological innovation.
Before joining academia, he gained industry experience at DFS, Lufthansa, and airberlin. His research has been published in renowned scientific journals and received international recognition. He is also an active reviewer for journals such as MDPI and CEAS. In his free time, Martin enjoys restoring his classic car and working on creative timber construction projects.
RESEARCH PROJECTS
RTG AirMetro: - (active) Research Training Group with 33 doctoral projects along with associated projects at participating professorships focussing on AAM
Air-Take-Off - (active) Collision avoidance between drones and manned aviation with the application case of air take-off in the Lausitz region
SmartFly - Explores how urban air mobility can enhance regional connectivity and support a sustainable, multimodal transport system
RescueFLY - Drone-based water rescue
ReMAP - Risk analysis and conflict resolution of multi-criteria coupled approach and departure procedures within a comprehensive parameter space with the support of high-performance computing
ProfiFuel - Improved planning and realization of trajectories with minimum ecological footprint and fuel burn
MEFUL - Minimization of emissions in flight operations with guaranteed operational safety as a contribution to an environmentally friendly air transport system
DISSERTATION
Martin Lindner's PhD research focused on tail-sign optimized aircraft scheduling. By analyzing performance deviations caused by engine wear, structural fatigue, configuration differences, and varying empty weights, he developed models to integrate these factors into operational planning. His work aimed to reduce costs and fuel consumption while enhancing the environmental efficiency of air transport.
TEACHING
PUBLICATIONS
2017
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Impact of Multi-critica Optimized Trajectories on European Air Traffic Density, Efficiency and the Environment , Juni 2017, Proceedings of the 12th USA/Europe Air Traffic Management Research and Development Seminar (ATM Seminar)Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
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Impact of climate costs on airline network and trajectory optimization: a parametric study , 2017, in: CEAS Aeronautical Journal. 8, 2, S. 371-384, 14 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Fachzeitschrift > Forschungsartikel
2016
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A Toolchain for Optimizing Trajectories under Real Weather Conditions and Realistic Flight Performance , Okt. 2016, Proceedings of Greener Aviation. 10 S.Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
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Ecological Impact of Air Traffic Control En-Route Charging Zones From Multi Criteria Optimized Flight Paths , Okt. 2016, Proceedings of Greener AviationPublikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
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Potential of Integrated Aircraft Rotation and Flight Scheduling by Using Individual Tail Sign Performance , Okt. 2016, Proceedings of the 65th German Aerospace Congress (DLRK)Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
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Multi-Objective Trajectory Optimization: Modern Trajectory Optimization Affects More Criteria than Fuel-Burn and Time of Flight , Mai 2016, in: Internationales Verkehrswesen. 68, 1, S. 40-43, 4 S.Publikation: Beitrag in Fachzeitschrift > Forschungsartikel