I am Mattis and this page aims to give you a brief overview about me and my work.

🎓 Google Scholar
📝 ORCID: 0009-0005-1140-3352
💾 DBLP
💻 LinkedIn
📧 mts[at]cs.uni-kiel.de

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About me

I am a PhD student in the Department of Computer Science at Kiel University, working as a researcher and Data Scientist in the research group Archeoinformatics – Data Science and in Task Area 3 (“Analytics and Experiments”) of the NFDI4Objects consortium.

I am particularly interested in data-centric methods for modeling, integrating and analyzing complex, heterogeneous network information in an interdisciplinary context. My key research areas include:

• Data Integration and Data Mining, especially in interdisciplinary settings
• Heterogeneous Information Networks (HINs) and Knowledge Graphs
• Semantic Web Technologies, including Linked Open Data and Semantic Modelling
• Research Data Management, with a particular emphasis on FAIR data and Research Software Engineering

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Education

• March 2024 – present: PhD Student (Computer Science) – Kiel University
• April 2021 – February 2024: Master of Science (Computer Science) – Kiel University – Grade 1.0 (Best Degree of the Degree Program in the Period Summer Semester 2023 to Winter Semester 2023/24)
• October 2017 – March 2021: Bachelor of Science (Computer Science) – Kiel University – Grade 1.4

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Publications

• Co-Location Similarity Search with Semantic Constraints (accepted for publication, in press)
  M. thor Straten, C. Beth, Y. Woelker, M. Renz – GeoSearch 2026

• CaTSCAN: Calculating Typed Subgraph Counts Analytically for Networks
  C. Beth, M. thor Straten, F. Rodriguez Rasmussen, M. M. Najafi, R. Cheng, M. Renz – ECML PKDD 2026

• General Semantic Knowledge Infusion for Spatio-Temporal Traffic Forecasting (Arxiv Preprint)
  M. thor Straten, Y. Woelker, S. Strohm, P. Mithare, R. Krestel, M. Renz – 2026 27th IEEE International Conference on Mobile Data Management (MDM)

• Bridging Interdisciplinary Research Data Management and Data Science through Modular Research Processes
  S. Strohm, M. thor Straten, A. Göhring, P. Kröger, M. Renz – Peer Community Journal

• A Network View on the Big Exchange Project: Integrating and Analysing Heterogeneous Datasets
  M. thor Straten, S. Strohm, B. Serbe, J. Hilpert, C. Beth, T. Kerig, M. Renz – Journal of Computer Applications in Archaeology

• Data-Driven Community Standards for Interdisciplinary Heterogeneous Information Networks
  M. thor Straten, S. Strohm, F. Thiery, M. Renz – E-Science-Tage 2025: Research Data Management: Challenges in a Changing World

• Lifting Heritage Data Integration to the Next Level with Heterogeneous Information Networks (accepted for publication, in press)
  M. thor Straten, S. Strohm, M. Renz – CHNT 2024

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Chaired Conference Sessions

• CHNT 2025 : Conference on Cultural Heritage and New Technologies, Vienna, Austria
  30 Years of Visions for the Future Impacts of Technology on Cultural Heritage
  Session: Research Data Management in an Agile, Semantically Interlinked, Data-Driven and AI-Biased World of Knowledge Hubs — A Re-Return for FAIR Reuse of Archive Data?
  

• Kiel Conference 2025 : Scales of Social, Environmental and Cultural Change in Past Societies, Kiel, Germany
  Session: AI in Archaeology
  

• CHNT 2024: Conference on Cultural Heritage and New Technologies, Vienna, Austria
  Session: Research Data Management in Cultural Heritage goes Digital – New Technologies Along the Object Biography
  

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Review Experience

I have assisted with the review process for several venues in the database and data mining community under the supervision of Prof. Dr. Matthias Renz, including SIGMOD (2027), MDM (2026), EDBT (2026). I further reviewed submissions for several venues in the digital heritage and research software engineering community, including CAA (2026, 2027), Kiel Conference (2025), deRSE (2025, 2026), CHNT (2024, 2025), and the Hyper Articles en Ligne repository.

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Teaching

• Winter term 26/27: Master’s Seminar – Data Science
• Winter term 26/27: Bachelor’s Seminar – Data Science
• Summer term 26: Master’s Seminar – Data Science
• Summer term 26: Bachelor’s Seminar – Data Science
• Winter term 25/26: Master’s Seminar – Data Science
• Winter term 25/26: Bachelor’s Seminar – Data Science
• Summer term 25: Bachelor’s Seminar – Data Science
• Summer term 25: Master’s Project – Data Science and Data Mining: “A Live Foosball Commentary System Using Computer Vision, Markov Models, and Large Language Models”

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Thesis Co-Supervision (with Prof. Dr. Matthias Renz)

• Summer term 26: Master’s Thesis – “Efficient Graphlet Counting in Heterogeneous Information Networks”
• Summer term 26: Bachelor’s Thesis – “Network Motif Discovery in Heterogeneous Information Networks”
• Summer term 26: Bachelor’s Thesis – “Bridging RDF-Based Knowledge Graphs and Heterogeneous Information Networks”
• Winter term 25/26: Master’s Thesis – “Integrating Grid-Based Proximity and Indexing for Spatially-Aware PathSim Queries”