Johannes Schwerdt
M.Sc. Johannes Schwerdt
Faculty of Computer Science
Institut für Technische und Betriebliche Informationssysteme (ITI)
Research Areas:
- Machine Learning
- Probabilistic Graphical Models
Current Projects:
- Data-driven User-Modelling in context of information search
Previous Projects:
- Molecular phylogenetic analysis of virus mutants for the medical microbiology and hospital hygiene
- Analysis of epidemiological and clinical factors influencing SRMA recurrence rate for the veterinary science
- Designing diagnostic support systems applied to Mass Spectrometry data for the pneumology
- Development of statistical Data Mining tools for (semi-)automated ontology creation
- Impementation of statistical tagger for Chemical Named Entity Recognition
Vita
2016 | Research assistant at the Data and Knowledge Engineering group |
2014 | Software developer Ontochem IT Solutions GmbH |
2013 | Master's thesis "Introducing a Gibbs Sampling Algorithm for De-novo Motif Discovery in the Transcriptional Hourglass Pattern in Embryogenesis" |
2011 | Start of studies in Bioinformatics (Master) at the Martin-Luther Universität Halle-Wittenberg |
2011 | Bachelor's thesis "Comprehensive Evaluation of Mapping-Assembly Algorithms for Next-Generation Sequencing Data" |
2007 | Start of studies in Bioinformatics (Bachelor) at the Martin-Luther Universität Halle-Wittenberg |
2023
Dissertation
Information search behavior profiles - analysis of search activities & behavior driven ranking
Schwerdt, Johannes; Nürnberger, Andreas
In: Magdeburg: Universitätsbibliothek, Dissertation Otto-von-Guericke-Universität Magdeburg, Fakultät für Informatik 2023, 1 Online-Ressource (xv, 212 Seiten, 4,85 MB) [Literaturverzeichnis: Seite 203-212]
2022
Essay
Discovering biomarkers for non-alcoholic steatohepatitis patients with and without hepatocellular carcinoma using fecal metaproteomics
Sydor, Svenja; Dandyk, Christian; Schwerdt, Johannes; Manka, Paul; Benndorf, Dirk; Lehmann, Theresa; Schallert, Kay; Wolf, Maximilian; Reichl, Udo; Canbay, Ali E.; Bechmann, Lars P.; Heyer, Robert
In: International journal of molecular sciences - Basel : Molecular Diversity Preservation International, Bd. 23 (2022), Heft 16, Artikel 8841, insges. 14 S.
Article in conference proceedings
Automatic reading detection during online search sessions
Schwerdt, Johannes; Nürnberger, Andreas
In: Konferenz: 30th ACM Conference on User Modeling, Adaptation and Personalization,Barcelona, Spain, July 4 - 7, 2022, Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization - New York, NY, United States: Association for Computing Machinery . - 2022, S. 13-17
2021
Book chapter
An explorative tool for mutation tracking in the spike glycoprotein of SARS-CoV-2
Schwerdt, Johannes; Tersteegen, Aljoscha; Marquardt, Pauline; Kaasch, Achim; Nürnberger, Andreas
In: Konferenz: IEEE 2nd International Conference on Human-Machine Systems, ICHMS, Magdeburg, Germany, 8-10 September 2021, Proceedings of the 2021 IEEE International Conference on Human-Machine Systems (ICHMS)/ IEEE International Conference on Human-Machine Systems - [Piscataway, NJ]: IEEE; Nürnberger, Andreas . - 2021, insges. 6 S.
Book chapter
Fact-finding or exploration - characterizing reading strategies in users search activities
Schwerdt, Johannes; Kotzyba, Michael; Nürnberger, Andreas
In: 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS) - IEEE . - 2021, insges. 6 S.
2020
Peer-reviewed journal article
Steroid-responsive meningitis-arteritis in dogs in Germany - are there epidemiological or clinical factors influencing recurrence rate?
Hilpert, Elisabeth; Tipold, Andrea; Meyerhoff, Nina; Schwerdt, Johannes; Winkler, Sandra; Jurina, Konrad; Fischer, Andrea; Kornberg, Marion; Parzefall, Birgit; Flegel, Thomas
In: Tierärztliche Praxis / K - Stuttgart: Thieme, Bd. 48 (2020), 1, S. 5-12
2019
Book chapter
Fact-finding or exploration - identifying latent behavior clusters in users search activities
Schwerdt, Johannes; Kotzyba, Michael; Nürnberger, Andreas
In: IEEE SMC 2019: IEEE International Conference on Systems, Man, and Cybernetics, 6-9 October 2019, Bari, Italy - IEEE, S. 1465-1471[Konferenz: IEEE International Conference on Systems, Man, and Cybernetics, IEEE SMC 2019, 6-9 October 2019, Bari Italy]
2018
Book chapter
The effect of motivational goals on information search for tasks of varying complexity levels
Kotzyba, Michael; Schwerdt, Johannes; Gossen, Tatiana; Krippl, Martin; Nürnberger, Andreas
In: SMC 2018: 2018 IEEE International Conference on Systems, Man, and Cybernetics$d7-10 October 2018, Miyazaki, Japan : proceedings/ IEEE International Conference on Systems, Man, and Cybernetics - Piscataway, NJ: IEEE, S. 2602-2607[Konferenz: 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC, Miyazaki, Japan, 7-10 October 2018]
2017
Book chapter
Exploration or fact-finding - inferring user's search activity just in time
Kotzyba, Michael; Gossen, Tatjana; Schwerdt, Johannes; Nürnberger, Andreas
In: Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval: Oslo, Norway, March 07 - 11, 2017 - New York, NY: ACM, Association for Computing Machinery, S. 87-96[Kongress: 2017 Conference on Conference Human Information Interaction and Retrieval : Oslo, Norway, March 07 - 11, 2017]
Book chapter
Inferring user's search activity using interaction logs and gaze data
Schwerdt, Johannes; Kotzyba, Michael; Nürnberger, Andreas
In: 2017 International Conference on Companion Technology (ICCT) : 11-13 Sept. 2017 - [Piscataway, NJ] : IEEE [Konferenz: 2017 International Conference on Companion Technology (ICCT), Ulm, Germany, 11.-13. September 2017]
Summer Term 2023
- Bioinformatics (Lecture & Exercise)
Summer Term 2022
- Bioinformatics (Lecture & Exercise)
Winter Term 2021/2022
- Interactive Information Organization (Seminar)
- Machine Learning for Medical Systems (Seminar)
Summer Term 2021
- Bioinformatics (Lecture & Exercise)
Winter Term 2020/2021
- Interactive Information Organization (Seminar)
- Machine Learning for Medical Systems (Seminar)
Summer Term 2020
- Bioinformatics (Exercise)
Winter Term 2019/2020
- Interactive Information Organization (Seminar)
- Machine Learning for Medical Systems (Seminar)
Summer Term 2019
- Bioinformatics (Exercise)
Winter Term 2018/2019
- Interactive Information Organization (Seminar)
- Text-Retrieval/Mining (Seminar)
Summer Term 2018
- Bioinformatics (Exercise)
Winter Term 2017/2018
- Interactive Information Organization (Seminar)
- Text-Retrieval/Mining (Seminar)
Summer Term 2017
- Bioinformatics (Exercise)
- Data and Knowledge Engineering (Seminar)