Johannes Schwerdt
M.Sc. Johannes Schwerdt
Fakultät für Informatik
Institut für Technische und Betriebliche Informationssysteme (ITI)
Forschungsschwerpunkte:
- Maschinelles Lernen
- Probabilistische Graphische Modelle
Aktuelle Projekte:
- Datengetriebene Nutzer-Modellierung im Kontext der Informationssuche
Frühere Projekte:
- Molekular phylogenetische Analysen von Virus-Mutanten in der Medizinischen Mikrobiologie und Krankenhaushygiene
- Analyse epidemiologischer und klinischer Faktoren auf SRMA Rekurrenzraten in der Veterinärmedizin
- Modellierung unterstützender Diagnostik-Systeme angewandt auf Massenspektrometrie Daten in der Pneumologie
- Entwicklung statistischer Data Mining Tools für (semi-) automatisierte Ontologie-Erstellung
- Implementierung statistischer Tagger im Bereich der Chemical Named Entity Recognition
Lebenslauf
| 2016 | Wissenschaftlicher Mitarbeiter bei der Data and Knowledge Engineering Gruppe |
| 2014 | Software Entwickler Ontochem IT Solutions GmbH |
| 2013 | Masterarbeit mit dem Thema "Introducing a Gibbs Sampling Algorithm for De-novo Motif Discovery in the Transcriptional Hourglass Pattern in Embryogenesis" |
| 2011 | Beginn des Studiums der Bioinformatik (Master) an der Martin-Luther Universität Halle-Wittenberg |
| 2011 | Bachelorarbeit mit dem Thema "Comprehensive Evaluation of Mapping-Assembly Algorithms for Next-Generation Sequencing Data" |
| 2007 | Beginn des Studiums der Bioinformatik (Bachelor) an der Martin-Luther Universität Halle-Wittenberg |
2022
Aufsatz
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.
Artikel in Kongressband
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
Buchbeitrag
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.
Buchbeitrag
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
Begutachteter Zeitschriftenartikel
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
Buchbeitrag
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
Buchbeitrag
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
Buchbeitrag
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]
Buchbeitrag
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]
Sommersemester 2023
- Bioinformatik (Vorlesung & Übung)
Sommersemester 2022
- Bioinformatik (Vorlesung & Übung)
Wintersemester 2021/2022
- Interactive Information Organization (Seminar)
- Machine Learning for Medical Systems (Seminar)
Sommersemester 2021
- Bioinformatik (Vorlesung & Übung)
Wintersemester 2020/2021
- Interactive Information Organization (Seminar)
- Machine Learning for Medical Systems (Seminar)
Sommersemester 2020
- Bioinformatik (Übung)
Wintersemester 2019/2020
- Interactive Information Organization (Seminar)
- Machine Learning for Medical Systems (Seminar)
Sommersemester 2019
- Bioinformatik (Übung)
Wintersemester 2018/2019
- Interactive Information Organization (Seminar)
- Text-Retrieval/Mining (Seminar)
Sommersemester 2018
- Bioinformatik (Übung)
Wintersemester 2017/2018
- Interactive Information Organization (Seminar)
- Text-Retrieval/Mining (Seminar)
Sommersemester 2017
- Bioinformatik (Übung)
- Data and Knowledge Engineering (Seminar)