Dr. Sascha Welten
A little bit of rock but mainly metal 
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Contact Information:
Lehrstuhl Informatik 5
Building: E2, 2nd floor, right corridor
Room: 6235
Ahornstraße 55 52074 Aachen
When the door is open
Sascha Welten received his master's degree in Computer Science in 2019 from RWTH Aachen University. He is working as a research assistant and PhD student at the Chair for Computer Science 5 at RWTH Aachen University since July 2019. His research area includes Distributed Analytics (E.g. Distributed Machine Learning) and Data Quality Management. Research interest: Distributed Data Distributed Analytics Machine Learning Data Quality/Profiling Semantic Web
Interesting Links:
- Adding a Beacon functionality to the Personal Health Train (Finished)
- Effects of Generative Replay-based methods on Catastrophic Forgetting in DA on healthcare data (Finished)
- From Simulation to Real Settings: Investigating the Testability of Distributed Analytics Experiments (Finished)
- Establishing Trust in P2P Distributed Analytics Infrastructures (Finished)
- In-depth investigation into Catastrophic Forgetting in Distributed Analytics using Model Averaging (Finished)
- Developing a Library for the Personal Health Train (Finished)
- Bridging the gap between design and deployment of statistical analyses in Distributed Analytics (Finished)
- You call this secure? – Investigation of security principles for analysis algorithms (Finished)
- A Containerisation Pipeline for Distributed Analytics Algorithms: The Algorithm Assembly Line (Finished)
- Customisable Data Safes for a Distributed Analytics Platform (Finished)
- Applying Anonymization Methodologies to Distributed Analytics (Finished)
- Methods to Improve Decentralised Incremental Learning (Finished)
- A META-Data Description for a Distributed Analytics Platform (Finished)
- Data Curation for Decentralised Model Training using Representation Learning for Feature Embeddings (Finished)
- Performing Distributed Analytics on Decentralised Geo- and Hydrological Data (Finished)
- Model Training through Curiosity-based Latent Space Exploration on Decentralized Data (Finished)
- Development of Generative Models Trained on Decentralised Hydrological Data (Finished)
- Supporting Distributed Analytics Workflows with Monitoring and Transaction Bots (Finished)
- Applying a Curiosity-Module to training on rare events (Cancelled)
Dissertation / PhD Thesis
Methods for practical data sharing and decentralised analytics: an integrated approach
Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen (2025) [10.18154/RWTH-2025-01136] = Dissertation, RWTH Aachen University, 2025
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Preprint
PASTA-4-PHT: A Pipeline for Automated Security and Technical Audits for the Personal Health Train
32 Seiten (2024) [10.48550/arXiv.2412.01275]
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Journal Article
A study on interoperability between two Personal Health Train infrastructures in leukodystrophy data analysis
Scientific data 11, 663 (2024) [10.1038/s41597-024-03450-6]
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Journal Article
Generation of harmonised pluvial flood hazard maps through decentralised analytics
Journal of hydroinformatics : JHI 26(2), 534-548 (2024) [10.2166/hydro.2024.257]
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Journal Article/Contribution to a book
Will it run? — A proof of concept for smoke testing decentralized data analytics experiments
Frontiers in medicine 10, 1305415 (2024) [10.3389/fmed.2023.1305415] special issue: "Unlocking The Potential of Health Data Spaces With The Proliferation of New Tools, Technologies and Digital Solutions"
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Abstract/Contribution to a conference proceedings
Distributed analysis of sensitive daten – personal health train
18. Jahrestagung DEGEPI : Epidemiologie im Wandel – Innovationen und Herausforderungen : 26.-28. September 2023, Würzburg
18. Jahrestagung DEGEPI, WürzburgWürzburg, Germany, 26 Dec 2023 - 28 Dec 2023
Würzburg : Deutschen Gesellschaft für Epidemiologie (DGEpi) 279-280 (2023)
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Contribution to a book/Contribution to a conference proceedings
HAICO: A Monitoring and Transaction Chatbot for Distributed Analytics Workflows
2023 IEEE International Conference on Web Services : IEEE ICWS 2023 : hybrid event, Chicago, Illinois, 2-8 July 2023 : proceedings / editors: Claudio Ardagna, Boualem Benatallah, Hongyi Bian, Carl K. Chang, Rong N. Chang, Jing Fan, Geoffrey C. Fox, Zhi Jin, Xuanzhe Liu, Heiko Ludwig, Michael Sheng, Jian Yang
IEEE International Conference on Web Services, IEEE ICWS 2023, Chicago, IlChicago, Il, USA, 2 Jul 2023 - 8 Jul 2023
Piscataway, NJ : IEEE 707-709 (2023) [10.1109/ICWS60048.2023.00092]
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Poster
Function, Aim, and Merit of the PersonalHealth Train for the Secondary Use ofClinical Data in Research
1. Heidelberger Frühjahrssymposium Medizinische Informatik, Meeting location,
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Abstract
Privatsphärenschützende Datenverknüpfung in verteilten Analysen mit dem PHT
SMITH Science Day, AachenAachen, Germany, 23 Nov 2022 - 23 Nov 2022
German Medical Science (2023) [10.3205/22SMITH42]
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Abstract/Contribution to a conference proceedings
DeepWarn: Multimodal Flood Forecasting System Using Deep Learning
Science Day 22 : built and lived environment - towards a sustainable, livable, urban, and regional future : Pop-Up Campus in Aachen on 30 June 2022 : urban health solutions, carbon sink solutions & materials, built-as-resource solutions, climate change adaptation, agile infrastructure solutions : book of abstracts / BLE Spokespersons: Frank Lohrberg, Tobias Kuhnimhof ; Editorial team for the Book of Abstracts: Agnes Förster, Robin Chang ; Editorial teams for the sessions: Urban Health: Marcel Schweiker, Agnes Förster, Daniel Münderlein, Helena Schulte. Carbon Sink Solutions & Materials: Thomas Matschai, Anya Vollpracht. Built-as-Resource: Carola Neugebauer, Christa Reicher. Climate Change Adaptation: Thomas Wintgens, Frank Kemper, Andreas Witte Agile. Infrastructure: Stefan Böschen ; Graphic Design: Claudia Löwenkamp
Science Day 2022, BLE Science Day, AachenAachen, Germany, 30 Jun 2022 - 30 Jun 2022
Aachen : Built and Lived Environment (BLE) 150-153 (2022)
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