Martin Lindner
© Sven Ellger
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
2024
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Trajectory and Airspace Optimization Depending on Controller Task Load, Juli 2024, Proceedings of the 11th International Conference on Research in Air Transportation (ICRAT)Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
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The Optimal Size of a Heterogeneous Air Taxi Fleet in Advanced Air Mobility: A Traffic Demand and Flight Scheduling Approach, März 2024, in: Future Transportation. 4, 1, S. 174-214, 41 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Fachzeitschrift > Forschungsartikel
2023
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Optimierung des Flugzeugeinsatzes nach Brennstoffeffizienz, 1 Aug. 2023Elektronische (Volltext-)VersionPublikation: Buch/Gutachten/Sammelbände > Monographie
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Multiple Aircraft in a Multi-Criteria Trajectory Optimization, 5 Juni 2023, Fifteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM 2023). Savannah, GAPublikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
2022
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Locating Air Taxi Infrastructure in regional Areas - The Saxony Use Case, 1 Sept. 2022, Deutscher Luft- und Raumfahrtkongress (DLRK) 2022. 1 S.Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
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Performance Degradation based Aircraft Tail Assignment and Routing in Daily Airline Operations, 1 Sept. 2022, Deutscher Luft- und Raumfahrtkongress DLRK 2022. 1 S.Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
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Traffic Flow Funnels Based on Aircraft Performance for Optimized Departure Procedures, Sept. 2022, in: Future Transportation. 2, 3, S. 711-733, 23 S.Elektronische (Volltext-)VersionPublikation: Beitrag in Fachzeitschrift > Forschungsartikel
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Optimization of Departure Routes Beyond Aircraft Noise Abatement, 1 Juni 2022, International Conference on Research in Air Transportation (ICRAT 2022). 8 S.Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten > Beitrag in Konferenzband
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Flugverlaufsdaten als Grundlage für Fluglärmberechnungen, 2022Elektronische (Volltext-)VersionPublikation: Buch/Gutachten/Sammelbände > Monographie
2021
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Integration of turnaround and aircraft recovery to mitigate delay propagation in airline networks, 16 Okt. 2021, in: Computers & operations research. 138 (2022), 21 S., 105602Elektronische (Volltext-)VersionPublikation: Beitrag in Fachzeitschrift > Forschungsartikel
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