Tobias Koopmann, M.Sc.

Chair of Data Science (Informatik X)
University of Würzburg
Am Hubland
97074 Würzburg
Germany
Email: koopmann@informatik.uni-wuerzburg.de
Phone: (+49 931) 31 - 89363
Office: Room B100 (Computer Science Building M2)
Fingerprint: CBC7 EACE BBF3 8CF8 EB3F 3478 A5FB FAA7 8F34 AD4E
Projects and Research Interests
I joined the DMIR group for my PhD studies after receiving my masters degree in Computer Science at the university of Würzburg in early 2019. At first, i was working on click trail analysis and human behavior prediction in the web based on Wikipedia click trails.
I started to work in the REGIO project. My contribution in the project is to analyse locally successful research cooperations based on different properties of the co-author network. For this we leverage the Bayesian approach HypTrails and apply it on graph- structured data. End 2021 after the project has been successfully finalized, I started working on the HydrAS project, which is a natural succession for my research topic.
Current Thesis/Practica Topics
Linking Up: Recommendation of Co-Authorship using Hypergraph Networks
Weights Watchers: Using Deep Learning to Fine-tune HypTrails Hypothesis Mixtures

We require bright, ambitious students who are willing to undertake the task of developing a revolutionary method for optimizing the mixtures of hypotheses explaining human navigation and behavior. And, no slacking off. We expect you to use the latest and greatest techniques in deep learning to accomplish this task.
Your goal is to tackle the challenge of tuning the weighted combination of hypotheses, which are used as a prior to a Bayesian framework called HypTrails. If successful, you'll contribute to an exciting new era of human behavior research.
But, let's not forget the most important thing - you must be willing to face the challenges head-on and never give up. Remember, failure is not an option, and I won't tolerate any half-hearted efforts.
Options: Bachelor Thesis, Master Praktika
From Ancient to modern: Tackling the big scary world of database migration

Greetings prospective students, do you have a passion for database updates? Well then, have I got a project for you! We need to modernize our ancient MySQL database powering the Website Bibsonomy, which contains over 200 GB of data, by updating it to something not that ancient, like MariaDB or Postgres DB. Your task will be to change the queries from the current backend to the new databases, optimise them to make them more efficient and thundering fast. This will be a challenging project, but don't worry, we will be right here to provide guidance and support. So, gear up and embark on this exciting adventure with the promise of a delicious cake upon completion. Remember, the cake is a lie only if you don't put in the effort.
Options: Bachelor Thesis, Master Praktika
Teaching
Winter term 22/23:
ummer term 22:
Winter term 21/22:
Summer term 21:
Winter term 20/21:
Summer term 20:
Summer term 19:
Winter term 18/19:
Publications
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CoBERT: Scientific Collaboration Prediction via Sequential Recommendation, in 2021 International Conference on Data Mining Workshops (ICDMW), 45–54, available: https://doi.org/10.1109/ICDMW53433.2021.00013.(2021)
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Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research, Scientometrics, available: https://doi.org/10.1007/s11192-021-03922-1.(2021)
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The German and International AI Network Data Set, available: https://doi.org/10.5281/zenodo.3693604.(2020)
- [ BibTeX ]
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Where to Submit Helping Researchers to Choose the Right Venue, in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, Online: Association for Computational Linguistics, 878–883, available: https://www.aclweb.org/anthology/2020.findings-emnlp.78.(2020)
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On the Right Track! Analysing and Predicting Navigation Success in Wikipedia, in Proceedings of the 30th ACM Conference on Hypertext and Social Media, HT ’19, Hof, Germany: ACM, 143–152, available: https://doi.org/10.1145/3342220.3343650.(2019)