Joint Lab Künstliche Intelligenz & Data Science

Kooperation des Leibniz-Instituts für Agrartechnik und Bioökonomie Potsdam und der Universität Osnabrück


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Topinformationen

Promovierende und ihre Projekte

Kevin von Bargen

Intelligent Processes for High-Quality Fruit Drying

Viacheslav Barkov (Slava)

Modeling sensor data for knowledge discovery and explainable decision-making in fruit storage

Lennart Kaiser

Networks as a Sensor in Agriculture

Clara Lößl

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

Moritz Lucas

Monitoring biodiversity of agroforestry systems, using multisensor Earth-Observation data and deep learning

Anh-Duy Pham

Informed Machine Learning on Sparse Data and Information in the context of barn climate and emissions

David Rolfes

Reconfigurable ROS Nodes for Modular Agricultural Robots

Jonas Schmidinger

Trustworthy Intelligent Soil Mapping

Verena Tessaro

Simulation of Environment Sensors – towards digital twins of autonomous agricultural machines

Tim Wollschläger

Development of predictive models to control the anaerobic digestion process

zu besetzen

Deployment Strategies for in-situ Sensors in Agriculture

zu besetzen

Explainable AI Methods for Multimodal Data in the Bioeconomy

Postdocs

Dr. Thomas Hänel

Postdoc für den Forschungsbereich 2:
Autonome Systeme - Sensornetzwerke, Robotersteuerung und Datenerfassung

Dr. Olivier Kashongwe

Postdoc für den Forschungsbereich 3:
Hybride Prozess- und Systemmodellierung - Anwendungsbasierte Entwicklung von Prozesssteuerungen und Digitalen Zwillingen

zu besetzen

Postdoc für den Forschungsbereich 3:
Künstliche Intelligenz und Data Science - Methodenentwicklung und Datenanalyse

Assoziierte Promovierende

Deepak Hanike Basavegowda

Biodiversity monitoring in semi-natural grasslands using deep learning and Unmanned Aerial Vehicles (UAVs)

Tjark Schütte

Navigation of Unmanned Ground Vehicles in Horticulture Using A-Priori Information Derived from Remote Sensing Data

Andreas Schliebitz

Continuous Image Classification on Data Streams using Contrastive Learning and Cluster Analysis

Mandala von Westenholz

Poisson Point Processes in application of data analysis

Jason Tenta

Access to and legal protection of (non-personal) data; Data contract law