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. The thesis' title was "A systematic evaluation approach for data stream-based applications". She completed her diploma (master) studies in computer science in April 2008 at RWTH Aachen University. Sandra Geisler is leader of the group Digital Health Spaces at the Fraunhofer Institute for Applied Information Technology FIT in St. Augustin. She was working as a research assistant and PhD student at the Informatik 5 (Information Systems) chair at RWTH Aachen University from June 2008 until April 2017. She was member of the working group Model Management.
Talks
- Quality-oriented Stream Processing on the Edge, Keynote Talk, Cluster of Excellence Conference, 27.10.2021, Online
- Big Time - A Glance At Azure Time Series Insights, SQL Saturday Wien, 24.01.2020, Wien, Österreich
- Schritte ins digitale Gesundheitswesen - Szenarien des Fraunhofer Medical Data Space, Networked Health, 09.11.2019, Köln, Deutschland
- How Flow Can You Go, SQL Saturday Rheinland, 25.05.2019, Bonn, Deutschland
- Stream on - Echtzeitdatenanalyse mit MS StreamInsight & Azure Stream Analytics, SQL Server Konferenz, 21.02.2019, Darmstadt, Deutschland
- Get into the Flow, SQL Server Konferenz, 20.02.2019, Darmstadt, Deutschland
- Stream on - Echtzeitdatenanalyse mit MS StreamInsight & Azure Stream Analytics, SQLdays Konferenz, 10.10.2018, Erding, Deutschland
- Stream on - Real-time Data Analysis with StreamInsight and Azure Stream Analytics, SQL Server Konferenz 2018, 28.02.2018, Darmstadt, Deutschland
- An Integrated Ontology-based Approach for Patent Classification in Medical Engineering, 12th Int. Conference on Data Integration in the Life Sciences 2017 (DILS'17), 13.11.2017, Luxembourg, Luxembourg
- Ontology-based Data Quality Management for Data Streams, Otto-Friedrich-Universitaet Bamberg, 16.05.2017, Bamberg Microsoft Business Intelligence für alle mobilen Plattformen, SQL Saturday Wien, 20.01.2017, Wien, Austria
- Complex Event Processing mit StreamInsight, PASS (Professional Association for SQL Server) Regionalgruppe Ruhrgebiet, 14.03.2013 An Ontology-based Data Quality Framework for Data Stream Applications, 16th International Conference on Data Quality, 19.11.2011, Adelaide, Australia
- A Universal Tool for Mobile Long-Time Recording, Monitoring and Analysis of Bio-Signals. IEEE International Conference on Mobile Data Management, International Workshop on Managing Health Information in Mobile Applications (HIMoA), June 6-9, Luleå, Sweden
- Data Stream Management Systems and Query Languages, Advanced School on Data Exchange, Integration and Streams (DEIS'10), Schloss Dagstuhl, Wadern, 09.11.2010
- A data stream-based evaluation framework for traffic information systems. ACM SIGSPATIAL Intl. Workshop on GeoStreaming (IWGS), San José, USA, November 2010
- Accuracy Assessment for Traffic Information Derived from Floating Phone Data. 17th World Congress on Intelligent Transportation Systems and Services (ITS), Busan, South-Korea, October 2010 A Data Stream-based Evaluation Framework for Traffic Information Systems, UMIC Workshop, 18.10.2010
- A Data Stream-based Framework for Traffic Information Systems, Ericsson Eurolab, Aachen, 02.09.2010 Einführung in SQL Server Spatial, PASS (Professional Association for SQL Server) Regionalgruppe Ruhrgebiet, 12.08.2010 Dynamische Erstellung von SSIS-Paketen, PASS (Professional Association for SQL Server) Regionalgruppe Ruhrgebiet, 11.02.2010
Memberships and Posts
- Associate Editor of the Data Knowledge and Engineering Journal (DKE), Elsevier
- Public Relation Chair of the QDB Workshop held in conjunction with the VLDB 2016 in New Delhi, India
- Workshop Chair of the IMMoA Workshop held in conjunction with the VLDB 2013 in Riva del Garda, Trento, Italy
- Workshop Chair of the IMMoA Workshop held in conjunction with the VLDB 2012 in Istanbul, Turkey
- Workshop Chair of the HIMoA Workshop held in conjunction with the MDM 2011 in Lulea, Sweden
- Editor of the Special Issue on Information Management in Mobile Applications in the Pervasive and Mobile Computing Journal
- 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)
- Leveraging LLMs for Mathematical Optimization on the Example of Supply Chains (Running)
- On the Evaluation of Retrieval Augmented Generation-based Cypher Queries (Running)
- LLM-based Tool for Integrating Ontologies and Knowledge Graphs Into Researchers’ RDM Processes (Running)
- Synopsis operators for a distributed on-the-edge streaming architecture (Running)
- Near Real-time Anomaly Detection from Videostreams using WASM and Machine Learning (Running)
- 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)
- 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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