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Research projects
Research area 1:
Artificial intelligence and data science - method development and data analysis
Area spokespersons:
Prof. Dr. Martin Atzmüller (UOS)
Prof. Dr. Marina Höhne (ATB)
Postdoc: Hamid Ebrahimy
Project: Explainable AI Methods for Multimodal Data in the Bioeconomy
Team -> to be filled (Ph.D. Student), Prof. Dr. Martin Atzmüller (UOS), Prof. Dr. Marina Höhne (ATB)
Project: Monitoring biodiversity of agroforestry systems, using multisensor Earth-Observation data and deep learning
Team -> Moritz Lucas (Ph.D. Student), Prof. Dr. Björn Waske (UOS), Dr.-Ing. Ralf Pecenka (ATB)
Project: Informed Machine Learning on Sparse Data and Information in the context of barn climate and emissions
Team -> Anh-Duy Pham (Ph.D. Student), Prof. Dr. Martin Atzmüller (UOS), Prof. Dr. Tim Römer (UOS), Dr.-Ing. David Janke (ATB), Prof. Dr. Thomas Amon (ATB)
Project: Integrated AI analysis of geometric and spectral UAV data using machine learning to derive high-resolution bio-physical and bio-chemical plant properties in agroforestry systems
Team -> Clara Lößl (Ph.D. Student), Dr. Thomas Jarmer (UOS), Dr.-Ing. Ralf Pecenka (ATB)
Research area 2:
Autonomous systems - sensor networks, robot control and data acquisition
Area spokespersons:
Prof. Dr.-Ing. Mario Porrmann (UOS)
Prof. Dr.-Ing. Cornelia Weltzien (ATB)
Postdoc: Dr. Thomas Hänel
Projekt: Deployment Strategies for in-situ Sensors in Agriculture
Projektteam -> to be filled (Ph.D. Student), Prof. Dr. Nils Aschenbruck (UOS), Prof. Dr. Marina Höhne (ATB), Dr. Sebastian Vogel (ATB), Dr.-Ing. Volker Dworak (ATB)
Projekt: Simulation of Environment Sensors – towards digital twins of autonomous agricultural machines
Projektteam -> Verena Tessaro (Ph.D. Studentin), Prof. Dr.-Ing. Mario Porrmann (UOS), Prof. Dr.-Ing. Cornelia Weltzien (ATB), Prof. Dr.-Ing. Heiko Tapken (HOS)
Projekt: Networks as a Sensor in Agriculture
Projektteam -> Lennart Kaiser (Ph.D. Student), Prof. Dr. Nils Aschenbruck (UOS), Dr. Sebastian Vogel (ATB), Dr.-Ing. Volker Dworak (ATB)
Projekt: Reconfigurable ROS Nodes for Modular Agricultural Robots
Projektteam -> David Rolfes (Ph.D. Student), Prof. Dr.-Ing. Mario Porrmann (UOS), Dr.-Ing. Volker Dworak (ATB), Prof. Dr. Stefan Stiene (HOS)
Research area 3:
Hybrid process and system modeling - application-based development of process controls and digital twins
Area spokespersons:
Prof. Dr. Tim Römer (UOS)
Prof. Dr. Annette Prochnow (ATB)
Postdoc: to be filled
Project: Trustworthy Intelligent Soil Mapping
Team -> Jonas Schmidinger (Ph.D. Student), Prof. Dr. Martin Atzmüller (UOS), Dr. Sebastian Vogel (ATB)
Project: Intelligent Processes for High-Quality Fruit Drying
Team -> Kevin von Bargen (Ph.D. Student), Prof. Dr. Tim Römer (UOS), Dr. Sharvari Raut (ATB), Prof. Dr. Barbara Sturm (ATB)
Project: Modeling Sensor Data For Knowledge Discovery And Explainable Decision-Making
Team -> Viacheslav Barkov (Ph.D. Student), Prof. Dr. Martin Atzmüller (UOS), Dr. agr. Robin Gebbers (ATB)
Project: Development of predictive models to control the anaerobic digestion process
Team -> Tim Wollschläger (Ph.D. Student), Prof. Dr. Andreas Focks (UOS), Prof. Dr. Tim Römer (UOS), Dr. Susanne Theuerl (ATB), Dr. Christiane Herrmann (ATB)
Third-party funded projects
Künstliche Intelligenz und Datenanalyse (2023 - 2024)
Industrial project (agricultural technology)
Principal investigators:
Prof. Dr. Martin Atzmüller (UOS)
Prof. Dr. Tim Römer (UOS)
