Projects -- Forschungsprojekte
Public Funding
- Funding: Europäische Kommission
Title: Carbon Neutral LNG
Since November 1, 2022, the Friedrich-Alexander-Universität Erlangen-Nürnberg coordinates the EU-funded Horizon Europe Project CarbonNeutralLNG. The focus of the new research project is the development and testing of the production of synthetic methane from green hydrogen and CO2. The group (Matthias Schubert) is involved with two tasks within this project: The first task is the satellite-based detection of fugitive methane emissions from natural gas infrastructure to analyze greenhouse gas potentials. The second task is using AI-driven data-based models to simulate technical installations.
Period: 2022 - 2024 - Funding: BMBF
Title: MLwin: Maschinelles Lernen mit Wissensgraphen
Knowledge Graphs are a well established way to represent structured knowledge representing the core of modern expert systems or question answering machines. Modern Knowledge graphs such as the Google knowledge, Yago or DBpedia describe a wide variety of information as triples. The MLwin project developes new machine learning techniques for extracting, verifying and faciltating knowledge graphs. As a practical application the techniques will be applied to medical decision support systems where knowedge graphs yield a large potential making expert knowledge explicit and automated decisions must be explainable.
Period: 2018 - 2022 - Funding: DFG Research Unit FOR 1679
Title: "Transalpine Mobilität und Kulturtransfer. Erstellen eines Isotopenfingerabdruckes für bioarchäologische Funde, insbesondere Leichenbrand, und seine Applikation auf archäologisch-kulturhistorische Fragestellungen in der Spätbronze- bis Römerzeit"
Subproject TP 03: Verwaltung und Analyse bioarchäologischer und archäometrischer Daten mittels Ähnlichkeitssuche, Clusteranalyse und Ausreißererkennung
Period: 2013 - 2018 - Funding: DFG
Title: Efficient Database Techniques for Reverse k-Nearest Neighbor Search
Period: 2011 - 2020 - Funding: DFG
Title: Wahrscheinlichkeitsbasierte Anfragebearbeitung in Unsicheren Raumzeitlichen Daten
Period: 2014 - 2017 - Funding: VDI/VDE-IT
Title: FuE-Programm "Informations- und Kommunikationstechnik" des Freistaates Bayern
Joint project: "Identifizierende Bildklassifikation in mobilen Anwendungen - VISEYE"
Period: 2013 - 2016 - Funding: BMWi
Title: Verbundprojekt: Shared E-Fleet - Intelligenter Betrieb von gemeinsam genutzten Elektrofahrzeugflotten
Subproject: "Entwicklung eines zeitlich-räumlichen Anfragesystems zur Transportplanung unter Berücksichtigung unsicherer Vorhersagen"
Period: 2012 - 2015 - Funding: AiF
Title: Entwicklung neuer Stereoskopie-Algorithmen zur Auswertung von Stereobildsequenzen
Period: 2012 - 2015
Private Funding
- Funding: IAV GmbH Ingenieurgesellschaft Auto und Verkehr
Title: Datenbasierte Methoden zur Ursachenanalyse Vorentflammung
Period: 2017 - 2018 - Funding: Giesecke & Devrient
Title: Data Analysis
Period: 2016 - 2017 - Funding: Siemens AG
Title: Solutions for High-Throughput Data - Generating value by means of data management and data mining in massive streams
Period: 2015 - 2017 - Funding: Siemens AG
Title: Data Science Lab (Premium sponsorship)
Period: 2014 - 2017 - Funding: Siemens AG
Title: Social Graph of Innovators
Period: 2016 - Funding: German Entrepreneurship GmbH
Title: Zusammenarbeit mit dem Volkswagen Data Lab und dem LS DBS
Period: 2016 - Funding: IAV GmbH Ingenieurgesellschaft Auto und Verkehr
Title: Evaluation von Data Science Methoden auf CAN Messungen
Period: 2016
Projects of Thomas Seidl at RWTH Aachen University (2002 - 2016)
- Funding: Jülich-Aachen Research Alliance (JARA)
Title: A method framework for High-Performance data mining of Monte Carlo protein simulations
Period: 2015 – 2016 - Funding: German Federation of Industrial Research Associations (AIF)
Title: Extraction of implicit manufacturing knowledge by analyzing CNC programs for recognition of spatial shapes generated by tool trajectories
Period: 2014 – 2016 - Funding: RWTH Aachen University project house HumTec
Title: e-cosmos – Integrating electronic tools to derive cognitive, linguistic and behavioral patterns from complex multimodal databases in the humanities
Period: 2013 – 2016 - Funding: DFG research grant
Title: Signature Quadratic Form Distance for Efficient Multimedia Database Retrieval
Period: 2013 – 2016 - Funding: DFG priority program SPP 1335 Scalable Visual Analytics
Title: SteerSCiVA – Visual Analytics methods to steer the subspace clustering process
Period: 2011 – 2016 - Funding: DFG collaborative research centre SFB 686
Title: Model-based Control for Homogenized Low-Temperature Combustion;
Subproject A6: Quantitative Analysis of Simulated and Experimental Process Data (Anytime algorithms for predictive control based on dynamically adaptive models)
Period: 2010 – 2014 - Funding: Land NRW; Bonn-Aachen International Center for Information Technology (B-IT) Research School
Title: PhD fellowship on concepts and techniques for data mining in graph databases
Period: 2010 – 2013 - Funding: DFG/WR Cluster of Excellence UMIC: Ultra high-speed Mobile Information and Communication
Subproject B2: Stream Aggregation and Stream Data Mining for the HealthNet Scenario
Subproject D4: Energy Awareness of Mobile Information Systems
Period: 2006 – 2013 - Funding: Precire GmbH, Aachen
Title: Speech-based prediction models for psychological motives
Period: 2013 - Funding: RWTH Aachen University, project house IMP in Business Administration
Title: 4C-NANONETS – From Clusters and Cooperation to Creativity and Commercialization in Nano Science and Technology Networks
Period: 2012 - Funding: RWTH Aachen University, project house IMP in Business Administration
Title: UP-BEAT – User-friendly Program for Better Effectiveness of Advertising Tools
Period: 2012 - Funding: DFG research grant
Title: Fast content-based search in large multimedia database systems by the Earth Mover's Distance
Period: 2005 – 2011 - Funding: BMWi Forschungsprogramm THESEUS Mittelstand
Title: Machining Intelligence Network (MachInNet)
Subproject: Entwicklung von Such- und Retrievalalgorithmen, Wissensextraktion und -management für Werkzeugdaten in CAD- und NC-Datenbanken
Partner: CIM Aachen GmbH und EXAPT Systemtechnik GmbH, Aachen
Period: 2009 - 2011 - Funding: Bundesamt für Sicherheit in der Informationstechnik (BSI)
Title: BioKeyS – Pilot-DB Template Protection
Subproject: Schnelle Such- und Retrievalalgorithmen für verschlüsselte Fingerabdrücke
Period: 2009 - 2010