Energy & Sustainability - L3S Research Center

To be able to shape our future sustainably, we need clean, safe energy. To achieve this, there is an increasing reliance on artificial intelligence (AI) in the energy sector. Researching and testing artificial intelligence models for this sector has the potential to improve the use of energy in the long term through optimised energy efficiency or the collection, analysis and optimisation of measured values.

BioBots

Creation of biotope network axes using autonomous robots

Hooray

Investigating the potential of head-mounted MEMS microphone arrays and deep learning for dynamic sound source localization

KG4MBSE

Usage of Knowledge Graphs for reuse, integration and analysis of models in Model-based Systems Engineering.

KIEEP

KIEEP accelerates the development of renewable energy projects by enabling an efficient allocation of resources through the screening of relevant regulations.

MDPS

Development of a multi-modal demand prediction system

MoToRes

Route recommendations for individual user needs, regional specifics and optimal utilisation of transport and attractions.

Omnidirectional Videos in VR

This project aims is for a more lifelike perception of omnidirectional video in VR display systems with increased realism of the displayed content.

Pearl-DNA

PEARL-DNA will develop and assess a complete end-to-end chain of innovative solutions — contributing to improving speed, accuracy, energy efficiency, and costs associated with DNA data storage.

ResourceQ

ResourceQ tackles the challenge of identifying and unifying the quantum resources driving speedup, bridging theory with practice to guide future quantum technologies.

Real-Action VR

In this project we set out to pioneer the fully immersive experience of action camera recordings in VR headsets.

RECITALS

RECITALS- an open-source platform for privacy-preserving data sharing and identity management using cryptography, federated learning, and AI.

SE²A

An interdisciplinary research center with the purpose of investigating technologies for a sustainable and eco-friendly air transport system.

SWIFTT

SWIFTT will provide forest managers with affordable, simple and effective remote sensing tools backed up by powerful machine learning models. It will offer a holistic health monitoring service to detect and map various risks for forests and their managers

TraceSec

Tracing and Explaining Security in Software Engineering