JProf. Dr. Sandra Geisler
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Contact Information:
Data Stream Management and Analysis
Building: E2 Room: Ahornstraße 55 52074 Aachen
Sandra Geisler is a junior professor for Data Stream Management and Analysis at the RWTH Aachen University since September 2021. She received her doctoral degree in computer science in December 2016 at the RWTH Aachen University.
Talks
- Vortrag Forschungsdaten-Kolloquium der FAU Erlangen-Nürnberg, 04.12.2026, Online
- Vortrag Lecture Series ``DatenHorizonte'', Schleswig-holsteinischen Landesinitiative für Forschungsdatenmanagement FDM.SH, 21.09.2026, Online
- Keynote ERUm Data RDM Workshop, 01.10.-02.10.2026, Aachen
- Prompt or perish - the research life cycle in times of genAI, Früjahrstagung der Deutschen Physikalischen Gesellschaft (DPG) 2026, 18.03.2026, Erlangen
- Supporting Research Data Management with generative AI - a modern FAIRytale?, NFDI4DS Lecture Series, 27.01.2026, Online
- Play FAIR and Share – Intelligent Data Ecosystems in the Life Sciences, CCLS Seminar Series, 11.11.2025, Online
- Introduction to session RDM Infrastructures: AI in RDM, 2nd Conference on Research Data Infrastructure (CoRDI), 27.08.2025, Aachen,
- FAIRly Simple – How can generative AI Support FAIR RDM?, HeFDI Data Week 2025, 27.06.2025, Online
- FAIRlyIntelligent – How can generative AI Support FAIR RDM?, Chemistry Data Days 2025, 04.06.2025, Mainz
- FAIReinfacht – Wie kann generative KI das Forschungsdatenmanagement unterstützen?, SaxFDM, Digital Kitchen, 08.05.2025, Online
- Prompt or perish – The publication process in times of genAI, Forum Publizieren, 27.03.2025, Online
- Prompt or perish – The publication process in times of genAI, Keynote, Workshop ``LLMs in the scientific publishing process'', 11.02.2025, Frankfurt
- FAIReinfacht – Wie kann generative KI das Forschungsdatenmanagement unterstützen?, Research Data Alliance (RDA) Deutschland Tagung, 18.02.2025, Potsdam
- FAIRlyIntelligent –What LLMs Bring to the Research Data Management Table , Helmholtz Metadata Collaboration (HMC) Conference, 04-05.11.2024, Online
- Von den Datenwurzeln zur Wissenskrone –Die Forschungsdatenpipeline im Internet of Production, 3. Tag der Forschungsdaten in NRW, Aachen, 12.11.2024, Aachen
- Streaming on the edge – A Distributed Multi-Layer Architecture for Data Stream Processing on the Edge, RWTH AI Week 2023 , Aachen, 28.09.2023
- Unlocking the Potential: LLMs Transforming Research Data Management. From Data to Diamonds - Empowering Research with AI and RDM (Aachen, Germany, Nov. 2023), 3. Tag der Forschungsdaten in NRW, Hybrid, 14.11.2023
- Health Data Ecosystems - Is your data fit for sharing?, Aachen Conference on Cardiorenal Diseases and Diabetes, Aachen, 11.11.2023
- Data Stream Management and Analysis, ICT Vollversammlung, Aachen, 17.10.2022
- Is Your Data Fit for Sharing? - Forschungsdatenmanagement im EXC ``Internet of Production'', 2. Tag der Forschungsdaten in NRW, Online, 15.11.2022
- Panelist bei Symposium on Data Markets @VLDB 2023, Vancouver, Canada, 28.08.2023
- Quality-oriented Stream Processing on the Edge, Keynote Talk, Cluster of Excellence Conference, 27.10.2021, Online
Memberships and Posts
- Associate Editor of the Data Knowledge and Engineering Journal (DKE), Elsevier
- Organizer Dagstuhl-Seminar “Research Data Management in Times of
Agentic AI”, 30.05.2027 - 04.06.2027, Dagstuhl, Germany - PC Research Track Distributed and Event-based Systems 2027
(DEBS’27), Galway, Irland - Proceedings Chair Distributed and Event-based Systems 2024 (DEBS’24),
Lyon, France, Link - Organizer Workshop Data Ecosystems in conjunction with VLDB 2023, 28. Aug. 2023
- Organizer Workshop Data Ecosystems in conjunction with VLDB 2022, 5. Sep. 2022
- Data Stream Management and Analysis (SS 2026)
- Intelligent Data Management with Generative AI (SS 2026)
- Data Ecosystems Lab (WS 2025)
- Intelligent Data Management with Generative AI (WS 2025)
- Data Ecosystems Lab (SS 2025)
- Data Stream Management and Analysis (SS 2025)
- Implementation of Databases (WS 2024)
- Research Focus Class on Data Ecosystems (WS 2024)
- Seminar Data Ecosystems (WS 2024)
- Data Stream Management and Analysis (SS 2024)
- Seminar Data Stream Management and Analysis (SS 2024)
- Data Ecosystems Lab (WS 2023)
- Implementation of Databases (WS 2023)
- Data Stream Management and Analysis (SS 2023)
- Seminar Data Ecosystems (SS 2023)
- Implementation of Databases (WS 2022)
- Seminar Data Stream Management and Analysis (WS 2022)
- Data Stream Management and Analysis (SS 2022)
- Seminar Data Ecosystems (SS 2022)
- Implementation of Databases (WS 2021)
- Seminar Data Stream Management and Analysis (WS 2021)
- Ontology Reduction for Scalable, Semantic Data Integration (Running)
- Formalizing Early-Stage Data Science Requirements for an LLM-Based Data Acquisition Agent (Running)
- Generating Synthetic Training Data with LLMs for Sentiment Analysis (Running)
- Semantic Integration through Generative Model Architectures (Running)
- Creating the Digital Nervous System for the Internet of Sustainable Production (Running)
- Synopsis operators for a distributed on-the-edge streaming architecture (Running)
- Federated Machine Learning Architecture for an MDF Production Industry Use Case (Finished)
- Data-driven quality assurance in grinding manufacturing technology (Finished)
- Analyzing the Effect of Data Quality on the Performance of Fine-Tuned Large Language Models (Finished)
- Leveraging LLMs for Mathematical Optimization on the Example of Supply Chains (Finished)
- On the Evaluation of Retrieval Augmented Generation-based Cypher Queries (Finished)
- LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers’ RDM Processes (Finished)
- Image stream anomaly detection using feature sketch for industrial quality control (Finished)
- Is there data? Repository approaches to simplify the search for reusable research data (Finished)
- Near Real-time Anomaly Detection from Videostreams using WASM and Machine Learning (Finished)
- Data-driven quality assurance in grinding manufacturing technology (Finished)
- Adaptive Operator Placement for Edge Clusters using Cluster Simulation (Finished)
- User-defined and Predictive Quality of Service Monitoring for on-the-edge Data Stream Processing (Finished)
- Offloading of IoT Workloads in Peer-to-Peer Networks using WebAssembly (Finished)
- Executing Stream Processing Operators on Programmable Networking Devices (Finished)
- Efficient Metadata Management in Industrial Data Lakes for High Pressure Die Casting (Finished)
- A Hybrid and Platform-Agnostic Stream Processing Architecture (Finished)
- Development of a Data Ecosystem Model for the Context of Procurement (Finished)
- Time-series based Academic Trend and Downtrend Detection (Finished)
- Development of a metadata model for the storage of data streams in data lakes in the context of industrial production (Finished)
- Model-based Data Sharing Across Organizations (Cancelled)
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