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"

Open Theses

(Bachelor/Praktikum/Master): Vergleich von Machine Learning Modell Updatestrategien

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).

[ BibTeX ] [ EndNote ]

@mastersthesis{Agne2020, address = {Am Hubland, Informatikgeb{ä}ude, 97074 W{ü}rzburg, Germany}, author = {Agne, Joachim}, keywords = {Industry_4_0 Thesis_supervised_by_Marwin_Zuefle Online_monitoring_and_forecasting descartes feature_engineering Thesis_supervised_by_SE_member Cyber-Physical_Systems se2_mastersthesis}, month = {February}, school = {University of W{ü}rzburg}, title = {{Predicting Failures by Means of Machine Learning Methods on the Example of an Industrial Press}}, type = {{MasterThesis}}, year = 2020 }

%0 Thesis %1 Agne2020 %A Agne, Joachim %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2020 %T Predicting Failures by Means of Machine Learning Methods on the Example of an Industrial Press

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).

[ BibTeX ] [ EndNote ]

@mastersthesis{Erhard2019, address = {Am Hubland, Informatikgeb{ä}ude, 97074 W{ü}rzburg, Germany}, author = {Erhard, Florian}, keywords = {Thesis_supervised_by_Marwin_Zuefle feature_engineering Thesis_supervised_by_Christian_Krupitzer prediction descartes Thesis_supervised_by_SE_member statistical_estimation_and_machine_learning se2_mastersthesis}, month = {September}, school = {University of W{ü}rzburg}, title = {{Designing a Generic Workflow for Frequency-based Feature Engineering of Sports Data Using Symbolic Fourier Approximation}}, type = {{Bachelor Thesis}}, year = 2019 }

%0 Thesis %1 Erhard2019 %A Erhard, Florian %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2019 %T Designing a Generic Workflow for Frequency-based Feature Engineering of Sports Data Using Symbolic Fourier Approximation
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).

[ BibTeX ] [ EndNote ]

@mastersthesis{Dreher2019, address = {Am Hubland, Informatikgeb{ä}ude, 97074 W{ü}rzburg, Germany}, author = {Dreher, Tim}, keywords = {Thesis_supervised_by_Marwin_Zuefle descartes feature_engineering Thesis_supervised_by_SE_member Thesis_supervised_by_Christian_Krupitzer thesis_supervised_by_se_member prediction se2_mastersthesis}, month = {October}, school = {University of W{ü}rzburg}, title = {{An Approach for Domain-specific Data Extraction and Feature Engineering for Sports Data Analytics}}, type = {{Bachelor Thesis}}, year = 2019 }

%0 Thesis %1 Dreher2019 %A Dreher, Tim %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2019 %T An Approach for Domain-specific Data Extraction and Feature Engineering for Sports Data Analytics

2018

Time Series Forecasting: A Recommendation for Method Selection. Ort, Jannik; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).

[ BibTeX ] [ EndNote ]

@mastersthesis{BA-Ort-2018, address = {Am Hubland, Informatikgeb{ä}ude, 97074 W{ü}rzburg, Germany}, author = {Ort, Jannik}, keywords = {Thesis_supervised_by_Marwin_Zuefle Thesis_supervised_by_Andre_Bauer Prediction descartes Thesis_supervised_by_SE_member Statistical_estimation_and_machine_learning se2_mastersthesis}, month = {September}, school = {University of W{ü}rzburg}, title = {{Time Series Forecasting: A Recommendation for Method Selection}}, type = {{Bachelor Thesis}}, year = 2018 }

%0 Thesis %1 BA-Ort-2018 %A Ort, Jannik %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2018 %T Time Series Forecasting: A Recommendation for Method Selection
Design of an Industry 4.0 Demonstrator. König, Philipp; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).

[ BibTeX ] [ EndNote ]

@mastersthesis{Koenig2018, address = {Am Hubland, Informatikgeb{ä}ude, 97074 W{ü}rzburg, Germany}, author = {K{ö}nig, Philipp}, keywords = {Thesis_supervised_by_Veronika_Lesch Thesis_supervised_by_Marwin_Zuefle descartes Thesis_supervised_by_SE_member se2_mastersthesis}, month = {September}, school = {University of W{ü}rzburg}, title = {{Design of an Industry 4.0 Demonstrator}}, type = {{Bachelor Thesis}}, year = 2018 }

%0 Thesis %1 Koenig2018 %A König, Philipp %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2018 %T Design of an Industry 4.0 Demonstrator
Comparing Machine Learning Approaches for Multivariate Time Series Forecasting. Otto, Dominik; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).

[ BibTeX ] [ EndNote ]

@mastersthesis{OttoMultiTelescope2018, address = {Am Hubland, Informatikgeb{ä}ude, 97074 W{ü}rzburg, Germany}, author = {Otto, Dominik}, keywords = {Thesis_supervised_by_Marwin_Zuefle Performance Telescope Optimization Thesis_supervised_by_Andre_Bauer Prediction descartes Thesis_supervised_by_SE_member Statistical_estimation_and_machine_learning se2_mastersthesis}, month = {April}, school = {University of W{ü}rzburg}, title = {{Comparing Machine Learning Approaches for Multivariate Time Series Forecasting}}, type = {{Bachelor Thesis}}, year = 2018 }

%0 Thesis %1 OttoMultiTelescope2018 %A Otto, Dominik %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2018 %T Comparing Machine Learning Approaches for Multivariate Time Series Forecasting
Automatisiertes Forecasting mit Feature Engineering. Augustin, Britta; Thesis; University of Würzburg; Am Hubland, Informatikgebäude, 97074 Würzburg, Germany. (2018).

[ BibTeX ] [ EndNote ]

@mastersthesis{BrittaAFFE2018, address = {Am Hubland, Informatikgeb{ä}ude, 97074 W{ü}rzburg, Germany}, author = {Augustin, Britta}, keywords = {Thesis_supervised_by_Marwin_Zuefle Automated_model_learning Thesis_supervised_by_Andre_Bauer descartes Thesis_supervised_by_SE_member Telescope se2_mastersthesis}, month = {April}, school = {University of W{ü}rzburg}, title = {{Automatisiertes Forecasting mit Feature Engineering}}, type = {{Bachelor Thesis}}, year = 2018 }

%0 Thesis %1 BrittaAFFE2018 %A Augustin, Britta %C Am Hubland, Informatikgebäude, 97074 Würzburg, Germany %D 2018 %T Automatisiertes Forecasting mit Feature Engineering

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