Prof. Dr. Andreas Biesdorf

Lehr- und Forschungsgebiete

  • Strategic Architecture Definition and Management
  • Data- and Information Management
  • Digital Transformation

Vita

Andreas Biesdorf ist Inhaber einer Professur für Wirtschaftsinformatik, insbesondere Informationsmanagement und Digitale Transformation am Fachbereich Wirtschaft der Hochschule Trier. In dieser Rolle verantwortet er vor allem die Themenbereiche Daten- und Informationsmanagement, Datenbanken, Betriebliche Kernsysteme sowie dem Zusammenspiel der verschiedenen Themen durch ein strategisches Architekturmanagement.

Zuvor hat Herr Biesdorf viele Jahre Erfahrung vor allem im industriellen Umfeld sammeln können, zuletzt als Senior Software Architekt und Forschungsgruppenleiter im Bereich von Software- und Enterprise Architekturen bei Siemens Technology in München und Erlangen.

Seine akademische Ausbildung schloss Herr Biesdorf an der Universität Heidelberg, dem Deutschen Krebsforschungszentrum, der Hochschule Heilbronn sowie der University of Utah (USA) ab.

LinkedIn Profil

Publikationen

ausgewählte Publikationen
  • Christof Tinnes, Wolfgang Rössler, Uwe Hohenstein, Torsten Kühn, Andreas Biesdorf, and Sven Apel. Sometimes You Have to Treat the Symptoms: Tackling Model Drift in an Industrial Clone-and-Own Software Product Line. In Proceedings of the European Software Engineering Conference and the ACM SIGSOFT International Symposium on the Foundations of Software Engineering (ESEC/FSE). ACM, November 2022. Industry Track.

  • Christof Tinnes, Timo Kehrer, Mitchell Joblin, Uwe Hohenstein, Andreas Biesdorf, Sven Apel: Learning Domain-Specific Edit Operations from Model Repositories with Frequent Subgraph Mining. ASE 2021: 930-942
  • Manoj Bhat, Klym Shumaiev, Uwe Hohenstein, Andreas Biesdorf, Florian Matthes: The Evolution of Architectural Decision Making as a Key Focus Area of Software Architecture Research: A Semi-Systematic Literature Study. ICSA 2020: 69-80
  • Roland Hülse, Andreas Biesdorf, Karl Hörmann, Boris Stuck, Michael Erhart, Manfred Hülse, Angela Wenzel: Peripheral vestibular disorders: an epidemiologic survey in 70 million individuals. Otology & Neurotology 40 (1), 88-95
  • Manoj Bhat, Christof Tinnes, Klym Shumaiev, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes: ADeX: A Tool for Automatic Curation of Design Decision Knowledge for Architectural Decision Recommendations. ICSA Companion 2019: 158-161
  • Christof Tinnes, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes: Ideas on improving software artifact reuse via traceability and self-awareness. SST@ICSE2019: 13-16
  • Iris Figalist, Andreas Biesdorf, Christoph Brand, Sebastian Feld, Marie Kiermeier: Supporting the DevOps Feedback Loop using Unsupervised Machine Learning. INISTA2019: 1-6
  • Uwe Hohenstein, Sonja Zillner, Andreas Biesdorf: Architectural Considerations for a Data Access Marketplace Based upon API Management. DATA (Revised Selected Papers) 2018: 91-115
  • Klym Shumaiev, Manoj Bhat, Oleksandra Klymenko, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes: Uncertainty expressions in software architecture group decision making: explorative study. ECSA (Companion) 2018: 42:1-42:8
  • Akash Manjunath, Manoj Bhat, Klym Shumaiev, Andreas Biesdorf, Florian Matthes: Decision Making and Cognitive Biases in Designing Software Architectures. ICSA Companion 2018: 52-55
  • Manoj Bhat, Klym Shumaiev, Kevin Koch, Uwe Hohenstein, Andreas Biesdorf, Florian Matthes: An Expert Recommendation System for Design Decision Making: Who Should be Involved in Making a Design Decision? ICSA 2018: 85-94
  • Manoj Bhat, Klym Shumaiev, Andreas Biesdorf, Uwe Hohenstein, Michael Hassel, Florian Matthes: An Ontology-based Approach for Software Architecture Recommendations. AMCIS 2017
  • Manoj Bhat, Klym Shumaiev, Andreas Biesdorf, Uwe Hohenstein, Florian Matthes: Automatic Extraction of Design Decisions from Issue Management Systems: A Machine Learning Based Approach. ECSA 2017: 138-154
  • Manoj Bhat, Klym Shumaiev, Andreas Biesdorf, Uwe Hohenstein, Michael Hassel, Florian Matthes: Meta-model based framework for architectural knowledge management. ECSA Workshops 2016: 12
  • Andreas Biesdorf, Karl Rohr, Duan Feng, Hendrik von Tengg-Kobligk, Fabian Rengier, Dittmar Böckler, Hans-Ulrich Kauczor, Stefan Wörz: Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration.Medical Image Anal. 16(6): 1187-1201 (2012)
  • Andreas Biesdorf, Karl Rohr, Hendrik von Tengg-Kobligk, Stefan Wörz: Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch. MICCAI (1) 2010: 444-451
  • Andreas Biesdorf, Stefan Wörz, Hans-Jürgen Kaiser, Christoph Stippich, Karl Rohr: Hybrid Spline-Based Multimodal Registration Using Local Measures for Joint Entropy and Mutual Information. MICCAI (1) 2009: 607-615
Prof. Dr. Andreas Biesdorf
Prof. Dr. Andreas Biesdorf
Professor FB Wirtschaft

Kontakt

+49 651 8103-382

Standort

Schneidershof | Gebäude K | Raum 208

Funktionen

Studiengangleiter Wirtschaftsinformatik Dual (B.Sc.)

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