Lennart Bengtson

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Research Profile
Lennart Bengtson studied computer science at the RWTH Aachen University and received his masters degree in Intelligent Adaptive Systems from the University of Hamburg. During his studies at the University of Hamburg, he worked in the Knowledge Technology group with a focus on Continual Learning for vision-language applications. In 2024 he joined the Distributed Operating Systems (DOS) research group as a research associate in the InteGreatDrones project.
His research interests include the following areas:
- Adaptive and context-aware inference
- Early exit and split computing for deep neural networks
- Continual learning
Research Projects
InteGreatDrones
The rise in production of cost-efficient unmanned aerial vehicles ("UAVs" or "drones") opens up new possibilities for process optimizations in industrial settings. The InteGreatDrones project focuses on the use of drone swarms for data collection in dynamic inland terminals, addressing challenges of changing cargo types and stakeholder interactions. The project's goal is to employ autonomous drones to capture terminal activities, ensuring privacy through local data processing and selective sharing. A central middleware connects drones and existing systems, supporting terminal-specific applications like route optimization and predictive maintenance. This project seeks to provide real-time data for informed operational and strategic decisions.