Mitarbeiter
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Prof. Dr. habil. Alfred Schöttl
Forschungsgruppe Autonome Systeme, Bildverarbeitung und Mustererkennung
After receiving his doctorate in 1993 from the Technical University of Munich, Alfred Schöttl was an assistant professor specializing in stochastic algorithms at the Technical University of Munich and habilitated in 1997. He then joined DASA (German Aerospace, later EADS/Airbus and MBDA) and led several projects in the areas of navigation, guidance and control, software, image processing, and simulation. Since 2013 he is professor for autonomous systems and machine learning at the University of Applied Sciences Munich in the Faculty of Electrical Engineering and Information Technology and the IAMLIS institute.

Mitarbeiter
Nico Leuze (M.Sc.) received his academic degrees from the University of Applied Sciences Munich, in 2021 and 2022, respectively. He specialized in the field of automation technology, and robotics as part of the Production & Automation bachelor’s degree program. He established his research interest in the field of intelligent robotic systems during the Master of Applied Research in Engineering Science program. At present, he is part of the IAMLIS research group as a PhD student working in the field of 3D computer vision in the context of robotics.
Kontakt:
Nico Leuze
Henry Schaub received his M.Sc. degree in Electrical Engineering from the University of Applied Sciences Munich in 2017. He is currently a researcher at the Laboratory for Autonomous Systems In Munich. His main research interests are sensor fusion, robot navigation, and autonomous grasping.
Kontakt:
Henry Schaub
Kontakt:
Maximilian Hoh
Nicolas Rodriguez Peña received the M.Sc. degree from the University of Applied Sciences Munich, Germany, in 2023. He is currently working toward a Ph.D. degree with the Faculty of Electrical Engineering and Information Technology as part of the IAMLIS research group at the University of Applied Sciences Munich, Germany. His research interests include robotic manipulation, deep learning-based trajectory planning, and robotic video reasoning.
Kontakt:
Nicolas Rodriguez Pena
Samed Dogan earned his Bachelor’s degree in General Electrical Engineering and his Master’s degree in Computer Vision, Machine Learning, and Statistics from the University of Applied Sciences. After completing his Master’s, he worked as a Development Engineer at Bertrandt, focusing on lateral safety for autonomous driving. In March 2024, he transitioned to a research role at the university, exploring multi-modal sensor fusion and generative models in the NxtAIM project. Currently pursuing a PhD, his research focuses on generative deep learning, including multi-modal diffusion models and latent spaces for LiDAR and camera data.
Kontakt:
Samed Dogan
Kontakt:
Maximilian Schmid
Laboringenieur