All Projects - L3S Research Center

Here you can find an overview of all our currently active L3S projects. Many of our projects are also classified under our research focus areas of Text Mining and Search, Knowledge Graphs and Data Integration, Natural Language Processing, Scene and Video Analysis, and Machine and Deep Learning. They can also be sorted by our focus areas of Manufacturing, Medicine, Science, Security, and Society. See the Project Archive for a list of completed L3S projects.

AERIALIST

Machine Learning and Deep Learning | Science, Medicine

An european doctoral network focused on developing intelligent and assistive health technologies for the use in unsupervised or home settings.

ADINeMo

Cyber-physical systems | Production

Exploring age-of-information based metrics of signal-aware sensor sampling to optimize information that is available at a remote monitor.

ARENA

Knowledge Graphs and Data Integration | Natural Language Processing

This project seeks to augment the generation of factual review statements to extract and analyze the paper's reasoning and evidence for summarization.

ATIQ

Quantum Computing

ATIQ project develops reliable ion-trapped quantum computer demonstrators, showcasing quantum advantage for practical applications like quantum chemistry, parallelizable gate optimization, and credit risk allocation.

ATTENTION!

Text Mining and Search | Business & Society

Artificial intelligence for the detection of trade-related money laundering

ArgSchool

Text Mining and Search | Education

The project aims to help German-speaking students improve their argumentative writing skills using algorithmic methods that provide feedback and suggestions for improvement.

Conditional Coding for Learned Image and Video Compression

Machine Learning and Deep Learning | Science

This project deals with learning-based video coding using a meta-learning-based procedure for regularization and dynamic adaptation of the decoder.

CAIMed

Machine Learning and Deep Learning | Medicine

CAIMed is the Lower Saxony Research Center for AI and Causal Methods in Medicine. It develops innovative methods and contributes to the management of widespread diseases.

CLEVER

Energy & Sustainability

A comprehensive approach that spans from processor architectures to middleware to innovative AI applications minimising costs and power consumption.

DigiUni

Business & Society

DigiUni aims to develop an open digital education environment for Ukrainian universities and emphasises the importance of digitalization for educational institutions in Ukraine.

DI-GATE-V

Processor architecture

The DI-GATE-V project develops configurable RISC-V soft-core processors optimized for CologneChip's GateMate FPGA, based on an open-source toolflow.

DAISEC

Production and Mobility

The European Digital Innovation Hub for AI and Cybersecurity (DAISEC) supports companies from the production, mobility and skilled crafts sectors as well as the public sector in the application and development of Artificial Intelligence and Cybersecurity.

ELMUMY

Ethics & Law | Medicine

The project aims to investigate the molecular mechanisms of the pathogenesis and progression of Multiple Myeloma (MM) and therapy responses.

FORTESIE

Ethics & Law | Energy & Sustainability

FORTESIE aims for innovative renovation packages with Smart Performance-Based guarantees and financing for Efficient, Sustainable and Inclusive Energy (ESIE) use.

FedCov

Machine Learning and Deep Learning | Medicine

Prediction of long-/post-COVID by artificial intelligence using a federated learning approach on German cohort data.

FoDaHemm

Science, Ethics & Law

The FoDaHemm project aims to reduce barriers to data protection in research projects by examining the tension between the right to informational self-determination and freedom of research.

GRAPHIA

Knowledge Graphs and Data Integration, Natural Language Processing | Science

The EU-funded GRAPHIA project aims to develop a comprehensive SSH Knowledge Graph (KG) that integrates dispersed data into a unified access point, improving data visualization and analysis.

Green AutoML for Driver Assistance Systems

Machine Learning and Deep Learning | Energy & Sustainability

The aim of the GreenAutoML4FAS project is to design a holistic, carbon-efficient system for driver assistance systems

GLACIATION

Machine Learning and Deep Learning | Energy & Sustainability

GLACIATION aims to reduce carbon emissions by developing a distributed knowledge graph that improves the efficiency of big data analysis.

Hooray

Machine Learning and Deep Learning | Energy & Sustainability, Science

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

ixAutoML

Machine Learning and Deep Learning | Science

Making automatic machine learning systems more human-centered by enabling interactivity and explainability.

INF

Text Mining and Search

The INF project aims to develop tools and criteria for assessing the quality and success of explanations by analysing natural language explanations and providing a glossary of key concepts.

KRISPIPHY

Acoustics & Signal Processing | Business & Society

Identification and optimization of headphone properties for audio reproduction resembling natural hearing

KIEEP

Knowledge Graphs and Data Integration, Natural Language Processing | Business & Society, Energy & Sustainability

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

LUMEN

Knowledge Graphs and Data Integration, Machine Learning and Deep Learning | Science

The LUMEN project is a pioneering initiative to transform cross-domain collaboration and discovery in Mathematics (Maths), Social Sciences and Humanities (SSH), Earth System (ES), and Molecular Dynamics (MD).

Leibniz AI Academy

Machine and Deep Learning, Natural Language Processing and Scene and Video Analysis | Education

Development and establishment of a transcurricular, cross-disciplinary micro-degree program "Leibniz AI Academy" at Leibniz Universität Hannover (LUH).

Merci

Media and Event production via Resilient Communication on IoT Infrastructure

MoToRes

Knowledge Graphs and Data Integration, Machine Learning and Deep Learning, Natural Language Processing | Energy & Sustainability

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

Metaphor as an Explanation Tool (TRR 318 C04)

Natural Language Processing, Knowledge Graphs and Data Integration | Business & Society

The project study with the help of natural language processing how metaphors function and are used within explanations, in order to contribute to the future of explainable AI systems.

NFDI4 Data Science

Knowledge Graphs and Data Integration | Science

NFDI4 Data Science aims to establish a national research data infrastructure in Germany to support all stages of the interdisciplinary research data lifecycle for Data Science and Artificial Intelligence.

Omnidirectional Videos in VR

Energy & Sustainability

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

Opt4DAC

Machine Learning and Deep Learning

Opt4DAC aims for informed, on-the-fly selection of black-box optimizers, targeting different problem instances and stages of the optimization problem.

OffshorePlan2

| Energy & Sustainability

Complementary using mathematical and event based discrete models for handling complex offshore wind farm installation strategies.

Open Research Knowledge Graph (ORKG)

Knowledge Graphs and Data Integration

ORKG empowers researchers by making knowledge accessible. Discover relevant contributions, explore cutting-edge research, and foster interdisciplinary collaboration.

OER with Ukraine

Education

This project aimed to expand the digital teaching offers of the Ukrainian partner universities of the LUH. Teaching and learning videos from various fields of computer science are produced and integrated into the ongoing teaching activities of the partner universities.

Online Optimierung

Machine Learning and Deep Learning | Science

The goal of the project is to develop and investigate online convex optimization (OCO)-based control schemes for general cost functions and constraints without relying on restrictive assumptions.

OASiS

Natural Language Processing

This project lead by Prof. Wachsmuth aims to develop a method for objectively summarizing argumentative texts using natural language processing.

Pearl-DNA

Signal Processing | Energy & Sustainability

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.

PRAD

Signal Processing for Radar | Science

Detection of persons and surroundings on the basis of radar signals.

PlanOS

Machine Learning and Deep Learning | Science

The PlanOs project aims to develop large-area sensor networks in thin polymer films for strain and shape measurement with high efficiency, low cost and high resolution.

P4D

Medicine

The P4D project aims to improve the diagnosis, therapy, and prevention of depressive disorders through personalized treatment approaches using machine learning methods and clinical validation of blood markers.

RUSHMORE

Text Mining and Search, Knowledge Graphs and Data Integration, Machine Learning and Deep Learning | Business & Society, Science, Mobility

Mobility data, synthetic data generation and specialised machine learning models for spatio-temporal knowledge transfer.

Real-Action VR

Energy & Sustainability

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

RECITALS

Machine Learning and Deep Learning | Business & Society, Energy & Sustainability, Medicine

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

RoGeRL

Automated Machine Learning | Science

RoGeRL plans to enhance the performance, robustness and generalization of Reinforcement Learning algorithms by developing tailored AutoML solutions for the setting.

ROMEO

Machine Learning and Deep Learning | Production

The ROMEO project aims to improve multimodal (kinesthetic and tactile) information integration for robot-mediated remote manipulation.

Robotics Lab

Machine Learning and Deep Learning | Production, Science

The L3S’s Robot Learning Lab works on foundational research to develop increasingly autonomous assistive systems.

Reflect AI

Science

The project aims to develop hybrid artificial intelligence models that use art-historical expertise and knowledge graphs to improve image similarity assessments in art history.

SisWiss

Text Mining and Search, Natural Language Processing, Machine Learning and Deep Learning | Business & Society

The SisWiss project aims to combine the development of theoretical approaches for the certification of an LLM with concrete security tests.

SE²A

Knowledge Graphs and Data Integration | Energy & Sustainability, Production

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

SoBigData RI PPP

Text Mining and Search

The SoBigData RI Preparation Phase Project (PPP) is the preparatory phase of the SoBigData RI in the ESFRI RoadMap 2021.

SWIFTT

Machine Learning and Deep Learning | Energy & Sustainability

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