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Intern
Chair of Computer Science II - Software Engineering

Marwin Züfle

M.Sc. Marwin Züfle

Chair of Software Engineering (Informatik II)
Department of Computer Science
University of Würzburg

Am Hubland, 97074 Würzburg

Informatikgebäude, 1.OG, Room A121

Phone: +49 (931) 31 84097
Email: marwin.zuefle@uni-wuerzburg.de

ORCID: 0000-0002-6620-9152

Research Interests

  • Critical Event Prediction
  • Predictive Maintenance
  • Forecasting

Selected Publications:

List of all publications: Marwin Züfle

Awards

  • Universitätspreis der Mainfränkischen Wirtschaft (S.Kounev / M. Züfle) (31 700 €) from IHK Würzburg-Schweinfurt to support research and education on the topic of "Novel Methods of Time Series Forecasting for practical Applications", April 2018.
  • Preis des Instituts für Informatik der Universität Würzburg für herausragende Leistungen im Studiengang Informatik (Master), Juni 2018
  • Würzburg Software Engineering Award sponsored by infosim, Dezember 2017
  • Preis des Instituts für Informatik der Universität Würzburg für herausragende Leistungen im Studiengang Informatik (Bachelor), Juni 2016

Selected Reviewer Activities

  • ACM/SPEC International Conference on Performance Engineering (ICPE)
  • IEEE International Conference on Autonomic Computing (ICAC)
  • IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)
  • IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)
  • IEEE International Conference on Intelligent Transportation Systems (ITSC)
  • EAI International Conference on Performance Evaluation Methodologies and Tools (Valuetools)
  • International Symposium on Software Engineering for Adaptive and Self-managing Systems (SEAMS)
  • International Symposium on Software Reliability Engineering (ISSRE)
  • IEEE Transactions on Cloud Computing

Teaching

  • Coordination of the exercises on the master's lecture "Performance Engineering & Benchmarking of Computer Systems" by Prof. Samuel Kounev, University of Würzburg
  • Coordination of the master's seminar "Seminar Software Engineering"
  • Advisor for the bachelor's training "Softwarepraktikum"

Supervised Theses

2020

  • Predicting Failures by Means of Machine Learning Methods on the Example of an Industrial Press. Agne, Joachim; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2020).
     

2019

  • Designing a Generic Workflow for Frequency-based Feature Engineering of Sports Data Using Symbolic Fourier Approximation. Erhard, Florian; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2019).
     
  • An Approach for Domain-specific Data Extraction and Feature Engineering for Sports Data Analytics. Dreher, Tim; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2019).
     

2018

  • Time Series Forecasting: A Recommendation for Method Selection. Ort, Jannik; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).
     
  • Design of an Industry 4.0 Demonstrator. König, Philipp; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).
     
  • Comparing Machine Learning Approaches for Multivariate Time Series Forecasting. Otto, Dominik; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).
     
  • Automatisiertes Forecasting mit Feature Engineering. Augustin, Britta; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).
     

Curriculum Vitae / Resume

since November 2017 Doctoral reseacher at the Chair of Software-Engineering (Informatik II) headed by Prof. Samuel Kounev, University of Würzburg
October 2015 - October 2017 Master of Computer Science at the University of Würzburg, Germany
October 2013 - September 2015 Bachelor of Computer Science at the University of Würzburg, Germany
October 2012-  September 2013 Bachelor of Computer Science at the University of Freiburg, Germany