Johannes Schwerdt

M.Sc. Johannes Schwerdt

Otto von Guericke University Magdeburg
Faculty of Computer Science
Institut für Technische und Betriebliche Informationssysteme (ITI)
Gebäude 29, Universitätsplatz 2, 39106, Magdeburg, G29-118
Research

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
Publications

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]

Teaching

Summer Term 2023

Summer Term 2022

Winter Term 2021/2022

Summer Term 2021

Winter Term 2020/2021

Summer Term 2020

Winter Term 2019/2020

Summer Term 2019

Winter Term 2018/2019

Summer Term 2018

Winter Term 2017/2018

Summer Term 2017

Last Modification: 17.08.2023 - Contact Person: