Institute for Software & Systems Engineering

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Carola Lenzen

Researcher
Institute for Software & Systems Engineering
Phone: +49 821 598 2211
Email:
Room: 3051 (N)
Address: Universitätsstraße 6a, 86159 Augsburg

CURRICULUM VITAE

Since 2021   Head of Department „Artificial Intelligence Methods“

Since 2019   Research Assistant at the Chair of Software Engineering 

2016-2019    Master in Computer Science at the University of Augsburg 

2012-2016    Bachelor in Mathematics at the University of Augsburg 

RESEARCH INTERESTS

I am involved in the following research areas and projects:

ACADEMIC SERVICES

Reviewer for Conference Papers and Journal Articles

  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-KPDD) 2021 - 2023

  • Machine Learning, Optimization, and Data Science (LOD) 2020 - 2023
  • Association for the Advancement of Artificial Intelligence (AAAI) 2020 (Subreviewer)

 

Courses

 

  • Künstliche Intelligenz (Software Engineering)
  • Selbst-organisierende, eingebettete Systeme
  • Seminar zu Software- und Systems Engineering
  • Softwareprojekt

 

Publications

2022 | 2021 | 2020

2022

Carola Lenzen, Alexander Schiendorfer and Wolfgang Reif. 2022. A recommendation system for CAD assembly modeling based on graph neural networks. In ECML/PKDD 2022: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Grenoble, France, 19-23 September 2022. , 1-17
PDF | BibTeX | RIS | URL

Carola Lenzen, Alexander Schiendorfer and Wolfgang Reif. 2022. Graph machine learning for assembly modeling. In LoG 2022: The First Learning on Graphs Conference, 9-12 December 2022, virtual event.
PDF | BibTeX | RIS | URL

2021

Miriam Elia, Carola Gajek, Alexander Schiendorfer and Wolfgang Reif. 2021. An interactive web application for decision tree learning. In Bernd Bischl, Oliver Guhr, Heidi Seibold and Peter Steinbach (Ed.). Proceedings of the Teaching Machine Learning Workshop at ECML-PKDD 2020, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 14 September 2020, Virtual Conference. ML Research Press (PMLR - Proceedings of Machine Learning Research ; 141), 11-16.
PDF | BibTeX | RIS | URL | URL

Alexander Schiendorfer, Carola Gajek and Wolfgang Reif. 2021. Turning software engineers into machine learning engineers. In Bernd Bischl, Oliver Guhr, Heidi Seibold, Peter Steinbach (Eds.). Proceedings of the First Teaching Machine Learning and Artificial Intelligence Workshop at ECML-PKDD 2020, 14 September 2020, virtual conference. ML Research Press, 36-41
PDF | BibTeX | RIS | URL

2020

Carola Gajek, Alexander Schiendorfer and Wolfgang Reif. 2020. A chained neural network model for photovoltaic power forecast. Lecture Notes in Computer Science 11943, 566-578. DOI: 10.1007/978-3-030-37599-7_47
PDF | BibTeX | RIS | DOI

© Institute for Software & Systems Engineering

Institute for Software & Systems Engineering

The Institute for Software & Systems Engineering (ISSE), directed by Prof. Dr. Wolfgang Reif, is a scientific institution within the Faculty of Applied Computer Science of the University of Augsburg. In research, the institute supports both fundamental and application-oriented research in all areas of software and systems engineering. In teaching, the institute facilitates the further development of the faculty's and university's relevant course offerings.

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