Professur für Softwaremethodik für verteilte Systeme

  1. Universität
  2. Fakultäten
  3. Fakultät für Angewandte Informatik
  4. Institut für Informatik
  5. Lehrstühle und Professuren der Informatik
  6. Softwaremethodik für verteilte Systeme
  7. Team
  8. Fabian Stieler

Dr. Fabian Stieler

Wiss. Mitarbeiter
Professur für Softwaremethodik für verteilte Systeme
Telefon: +49 821 598-2471
E-Mail:
Raum: 3005 (N)
Adresse: Universitätsstraße 6a, 86159 Augsburg

Kurzlebenslauf

  • 2017: Bachelor of Science, Wirtschaftsinformatik
  • 2019: Master of Science, Informatik & Informationswirtschaft
  • 2024: Promotion zum Dr. rer. nat., Universität Augsburg

Forschungsbereiche

  • Machine Learning Operations (MLOps)
  • Explainable Artificial Intelligence (XAI)
  • Active Learning (AL)

Abschlussarbeiten

  • Reduktion des Annotationsaufwands - Ein Vergleich von Active Learning Frameworks (Bachelorarbeit)     
  • Bias Detection using Interpretable Machine Learning Methods (Bachelorarbeit)
  • Evaluating Explainability in the Context of Active Learning (Masterarbeit)
  • Interpretierbares Maschinelles Lernen mit EKG Daten (Bachelorarbeit)
  • Model Explanations as Quality Gate in Machine Learning Pipelines (Masterarbeit)
  • Evaluating Explainable AI Algorithms Using Scenario-Based Focus Groups (Masterarbeit)
  • MLOps in Academia: From Concept to Implementation (Masterarbeit)
  • Transferability and Adaptation of Established Early Warning Scores to Preclinical Emergency Care Data (Masterarbeit)

Projekte

Publikationen

2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2018 | 2017

2025

Benjamin Weigell, Fabian Stieler and Bernhard Bauer. in press. All you need is an AI platform: a proposal for a complete reference architecture. In CAIN 2025 — 4th International Conference on AI Engineering – Software Engineering for AI, April 27-28th, 2025, Ottawa, Canada. IEEE & ACM
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Paula Ziethmann, Fabian Stieler, Miriam Elia, Bernhard Bauer and Kerstin Schlögl-Flierl. 2025. CDSS – an interdisciplinary perspective on the statement of the central ethics commission of the German Medical Association [Abstract]. The Royal College of Radiologists Open 3, 100163. DOI: 10.1016/j.rcro.2024.100163
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Paula Ziethmann, Miriam Elia, Fabian Stieler, Bernhard Bauer, Julia Welzel and Kerstin Schlögl-Flierl. 2025. Clinical decision support systems at the intersection of technology and ethics: a critical analysis of the ethical guidelines issued by the German Medical Association. Digital Society 4, 15. DOI: 10.1007/s44206-025-00175-w
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Fabian Stieler. 2025. The role of active learning in developing trustworthy AI - Approaches for enhancing transparency and explainability in processes and systems. Dissertation, Universität Augsburg. .
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2024

Vivian Grünherz, Alanna Ebigbo, Miriam Elia, Alessandra Brunner, Tamara Krafft, Leo Pöller, Pia Schneider, Fabian Stieler, Bernhard Bauer, Anna Muzalyova, Helmut Messmann and Sandra Nagl. 2024. Automatic three-dimensional reconstruction of the oesophagus in achalasia patients undergoing POEM: an innovative approach for evaluating treatment outcomes. BMJ Open Gastroenterology 11, 1, e001396. DOI: 10.1136/bmjgast-2024-001396
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Fabian Stieler and Bernhard Bauer. 2024. Enhancing collaboration and agility in data-centric AI projects. In Hermann Kaindl, Mike Mannion, Leszek A. Maciaszek (Eds.). Evaluation of Novel Approaches to Software Engineering: 18th International Conference, ENASE 2023, Prague, Czech Republic, April 24–25, 2023, revised selected papers. Springer, Cham, 321-343 DOI: 10.1007/978-3-031-64182-4_15
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Paula Ziethmann, Fabian Stieler, Raphael Pfrommer, Kerstin Schlögl-Flierl and Bernhard Bauer. 2024. Towards a framework for interdisciplinary studies in explainable artificial intelligence. In Helmut Degen, Stavroula Ntoa (Eds.). Artificial Intelligence in HCI: 5th International Conference, AI-HCI 2024, held as part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29 – July 4, 2024, proceedings, part I. Springer, Cham, 316-333 DOI: 10.1007/978-3-031-60606-9_18
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Miriam Elia, Fabian Stieler, Fabian Ripke, Marius Nann, Sarah Dopfer and Bernhard Bauer. 2024. Towards certifiable AI in medicine: illustrated for multi-label ECG classification performance metrics. In José Antonio Iglesias, Rashmi Dutta Baruah, Araceli Sanchis, Mario Muñoz Organero, Dimitry Kangin, Paulo Vitor De Campos Souza (Eds.). 2024 IEEE International Conference on Evolving and Adaptive Intelligent Systems (EAIS), 23-24 May 2024, Madrid, Spain. IEEE, Piscataway, NJ, 1-8 DOI: 10.1109/eais58494.2024.10570023
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2023

Fabian Stieler and Bernhard Bauer. 2023. Git workflow for active learning - a development methodology proposal for data-centric AI projects. In Hermann Kaindl, Mike Mannion, Leszek Maciaszek (Eds.). Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2023), April 24-25, 2023, in Prague, Czech Republic. SciTePress, Setúbal, 202-213 DOI: 10.5220/0011988400003464
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Fabian Stieler, Miriam Elia, Benjamin Weigell, Bernhard Bauer, Peter Kienle, Anton Roth, Gregor Müllegger, Marius Nann and Sarah Dopfer. 2023. LIFEDATA - a framework for traceable active learning projects. In Kurt Schneider, Fabiano Dalpiaz, Jennifer Horkoff (Eds.). 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW), 4-5 September 2023, Hannover, Germany. IEEE, Piscataway, NJ, 465-474 DOI: 10.1109/REW57809.2023.00088
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Miriam Elia, Tobias Peter, Fabian Stieler, Bernhard Bauer, Sandra Nagl, Alanna Ebigbo and Vivien Grünherz. 2023. Precision medicine for achalasia diagnosis: a multi-modal and interdisciplinary approach for training data generation [Abstract]. In IEEE - ISBI 2023: International Symposium on Biomedical Imaging, Cartagena de Indias, Colombia, April 18-21, 2023.
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2022

Fabian Stieler, Marius Nann and Bernhard Bauer. 2022. Vertrauenswürdige KI in der Medizin - von effizienter Datenannotation bis intuitiver Modellerklärung. In KI-Fabrigk @WIKOIN22, Ingolstadt, 30. Juni 2022.
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2021

Fabian Stieler, Fabian Rabe and Bernhard Bauer. 2021. Towards domain-specific explainable AI: model interpretation of a skin image classifier using a human approach. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2021, 19-25 June 2021, Nashville, TN, USA. IEEE, Piscataway, NJ, 1802-1809 DOI: 10.1109/CVPRW53098.2021.00199
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2020

Fabian Stieler, Fabian Rabe and Bernhard Bauer. 2020. Federated medical data - how much can deep learning models benefit? [Poster]. In AMIA 2020 Virtual Clinical Informatics Converence, May 19-21.
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2018

Harald Schmidbauer, Angi Rösch and Fabian Stieler. 2018. Patterns of interest in industrial brands: Instagram media uploads and sentiment. In Len Tashman, Fotios Petropoulos (Eds.). International Symposium on Forecasting (ISF) 2018, Boulder (CO), USA, June 16-20, 2018. International Institute of Forecasters
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Harald Schmidbauer, Angi Rösch and Fabian Stieler. 2018. The 2016 US presidential election and media on Instagram: who was in the lead?. Computers in Human Behavior 81, 148-160. DOI: 10.1016/j.chb.2017.11.021
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2017

Harald Schmidbauer, Angi Rösch and Fabian Stieler. 2017. Patterns of interest in industrial brands: media uploads to Instagram. In 23rd IIF Workshop on Predictive Analytics and Forecasting (IIF 2017) - Research and Applications, Munich, Germany, September 14-15, 2017. International Institute of Forecasters
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