Daniel Dollinger

Daniel Dollinger is a researcher at the Institute of Flight System Dynamics at the Technische Universität München (Technical University of Munich). His work focuses on embedded systems and safety critical avionics development, with a particular emphasis on human-machine interface design for unmanned aircraft systems (UAS) and future air mobility solutions. He contributes to research in nonlinear and adaptive flight control, flight safety protocols, and trajectory optimization for advanced aerial vehicles.

• Embedded Systems & Safety Critical Avionics
• Human-Machine Interface for UAS
• Flight Control Systems
• Nonlinear and Adaptive Flight Control
• Simulation and Flight Safety
• Sensors and Data Fusion

Daniel Dollinger has authored or co-authored multiple publications in prestigious conferences like AIAA AVIATION FORUM, AIAA SciTech, and IEEE/DASC. His research spans topics from control inceptor design for transition VTOL aircraft to model-based systems engineering integration into agile environments. He actively supervises student theses on subjects like hybrid fly-by-wire systems, UAV control protocols, and flight simulation toolchains.

His recent work explores urban air mobility and eVTOL aircraft handling qualities, with a focus on simulator-based testing and operator situational awareness. He also investigates digital twin approaches for airborne software certification and lean development methodologies in avionics systems.