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Assistant Professorship for Intelligent Information Systems
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  2. School of Business, Economics and Society

Assistant Professorship for Intelligent Information Systems

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  • About us
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      • Prof. Dr. Patrick Zschech
      • Nico Hambauer
      • Nazar El Saifi
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        • Juliane Ort
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      • Business Analytics: Technologien, Methoden und Konzepte
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  1. Home
  2. About us
  3. Our Team
  4. Prof. Dr. Patrick Zschech

Prof. Dr. Patrick Zschech

In page navigation: About us
  • Our Team
    • Prof. Dr. Patrick Zschech
    • Nico Hambauer
    • Nazar El Saifi
    • Christopher Wissuchek
    • Alumni
      • Juliane Ort
      • Julian Rosenberger
  • Our Partners
    • Robotron
  • Awards
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Prof. Dr. Patrick Zschech

Prof. Dr. Patrick Zschech

Patrick Zschech (born 1988) studied Business Informatics in the Bachelor and Master program at the Technische Universität Dresden (TUD) from 2008 to 2015. In the meantime, he spent a year abroad at the Universidad de Granada (UGR) in Andalusia from 2010 to 2011. After completing his Master’s degree, he worked until 2018 for the IT service provider Robotron Datenbank-Software GmbH as an instructor and project member to establish innovative data science qualification programs and to develop new solution concepts in the area of (Industrial) Internet of Things. At the same time, he worked as a research assistant at the Chair of Business Informatics, esp. Business Intelligence Research, at TUD, where he successfully completed his doctorate on the topic “Data Science and Analytics in Industrial Maintenance” in August 2020. In January 2021, Patrick Zschech was appointed Assistant Professor for Intelligent Information Systems at the Institute of Information Systems at FAU.

Patrick Zschech’s research focuses on business analytics, machine learning, and artificial intelligence. In particular, he is concerned with the design, analysis, and use of intelligent information systems based on methods and technologies of advanced data processing (e.g., deep learning, computer vision, natural language processing, process mining). One of the main areas of interest for conducting and applying his research is the field of industrial manufacturing. In addition, he deals with the analysis and design of data science qualification programs and he investigates approaches for increasing acceptance of AI systems from a socio-technical perspective.

Publications

2023

  • Schoormann T., Strobel G., Möller F., Petrik D., Zschech P.:
    Artificial Intelligence for Sustainability—A Systematic Review of Information Systems Literature
    In: Communications of the Association for Information Systems 52 (2023), Article No.: 8
    ISSN: 1529-3181
    URL: https://aisel.aisnet.org/cais/vol52/iss1/8/

2022

  • Graf J., Lancho G., Zschech P., Heinrich K.:
    Where Was COVID-19 First Discovered? Designing a Question-Answering System for Pandemic Situations
    European Conference on Information Systems (Timisoara, 18. June 2022 - 24. June 2022)
    In: Proceedings of the 30th European Conference on Information Systems 2022
    URL: https://aisel.aisnet.org/ecis2022_rp/104/
  • Harl M., Herchenbach M., Kruschel S., Hambauer N., Zschech P., Kraus M.:
    A Light in the Dark: Deep Learning Practices for Industrial Computer Vision
    In: Proceedings of the 17th International Conference on Wirtschaftsinformatik (WI) 2022
    Open Access: https://aisel.aisnet.org/wi2022/student_track/student_track/33/
    URL: https://aisel.aisnet.org/wi2022/student_track/student_track/33/
  • Sager C., Zschech P., Kühl N.:
    labelCloud: A Lightweight Labeling Tool for Domain-Agnostic 3D Object Detection in Point Clouds
    In: Computer-Aided Design and Applications 19 (2022), p. 1191-1206
    ISSN: 1686-4360
    DOI: 10.14733/cadaps.2022.1191-1206
    URL: http://cad-journal.net/files/vol_19/CAD_19(6)_2022_1191-1206.pdf
  • Siebers P., Janiesch C., Zschech P.:
    A Survey of Text Representation Methods and Their Genealogy
    In: IEEE Access 10 (2022), p. 96492-96513
    ISSN: 2169-3536
    DOI: 10.1109/ACCESS.2022.3205719
  • Zschech P.:
    Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines
    In: Information Systems and E-Business Management (2022)
    ISSN: 1617-9846
    DOI: 10.1007/s10257-022-00577-0
  • Zschech P.:
    Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines
    In: Information Systems and E-Business Management (2022)
    ISSN: 1617-9846
    DOI: 10.1007/s10257-022-00577-0
  • Zschech P., Weinzierl S., Hambauer N., Zilker S., Kraus M.:
    GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints
    European Conference on Information Systems (Timisoara, 5. July 2022 - 9. July 2022)
    In: Proceedings of the 30th European Conference on Information Systems 2022

2021

  • Heinrich K., Zschech P., Janiesch C., Bonin M.:
    Process Data Properties Matter: Introducing Gated Convolutional Neural Networks (GCNN) and Key-Value-Predict Attention Networks (KVP) for Next Event Prediction with Deep Learning
    In: Decision Support Systems (2021), p. 113494
    ISSN: 0167-9236
    DOI: 10.1016/j.dss.2021.113494
    URL: https://www.sciencedirect.com/science/article/pii/S016792362100004X?via=ihub
  • Janiesch C., Zschech P., Heinrich K.:
    Machine Learning and Deep Learning
    In: Electronic Markets 31 (2021), p. 685–695
    ISSN: 1019-6781
    DOI: 10.1007/s12525-021-00475-2
    URL: https://link.springer.com/article/10.1007/s12525-021-00475-2
  • Petrik D., Pantow K., Zschech P., Herzwurm G.:
    Tweeting in IIoT Ecosystems – Empirical Insights from Social Media Analytics about IIoT Platforms
    16th International Conference on Wirtschaftsinformatik (WI) (Duisburg-Essen, 9. March 2021 - 11. March 2021)
    In: Ahlemann F., Schütte R., Stieglitz S. (ed.): Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI) 2021
    DOI: 10.1007/978-3-030-86800-0_32
    URL: https://aisel.aisnet.org/wi2021/GFuture18/Track18/3/
  • Sager C., Janiesch C., Zschech P.:
    A Survey of Image Labelling for Computer Vision Applications
    In: Journal of Business Analytics 4 (2021), p. 91-110
    ISSN: 2573-234X
    DOI: 10.1080/2573234X.2021.1908861
  • Sager C., Zschech P., Kühl N.:
    labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds
    International CAD Conference (Barcelona, 5. July 2021 - 7. July 2021)
    In: Proceedings of CAD’21 2021
    DOI: 10.14733/cadconfP.2021.319-323
  • Zschech P., Heinrich K., Möller B., Breithaupt L., Maresch J., Roth A.:
    Deep Learning in der Landwirtschaft – Analyse eines Weinbergs
    In: D'Onofrio S., Meier A. (ed.): Big Data Analytics, 2021, p. 169-194
    ISBN: 9783658322359

    DOI: 10.1007/978-3-658-32236-6_8
    URL: https://link.springer.com/chapter/10.1007/978-3-658-32236-6_8
  • Zschech P., Sager C., Siebers P., Pertermann M.:
    Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels Elektrolumineszenz-Bildern
    In: HMD : Praxis der Wirtschaftsinformatik (2021), p. 321–342
    ISSN: 1436-3011
    DOI: 10.1365/s40702-020-00641-8
    URL: https://link.springer.com/article/10.1365/s40702-020-00641-8
  • Zschech P., Walk J., Heinrich K., Vössing M., Kühl N.:
    A Picture is Worth a Collaboration: Accumulating Design Knowledge for Computer-Vision-based Hybrid Intelligence Systems
    29th European Conference on Information Systems (ECIS) (Virtual Conference, 14. June 2021 - 16. June 2021)
    In: Proceedings of the 29th European Conference on Information Systems (ECIS) 2021
    URL: https://aisel.aisnet.org/ecis2021_rp/127/

2020

  • Friederich J., Zschech P.:
    Review and Systematization of Solutions for 3D Object Detection
    15th International Conference on Wirtschaftsinformatik (WI) (Potsdam, 8. March 2020 - 11. March 2020)
    In: Gronau N, Heine M, Krasnova H, Pousttchi K (ed.): Proceedings of the 15th International Conference on Wirtschaftsinformatik, Berlin: 2020
    DOI: 10.30844/wi_2020_r2-friedrich
    URL: https://library.gito.de/oa_wi2020-r2.html
  • Heinrich K., Graf J., Chen J., Laurisch J., Zschech P.:
    Fool Me Once, Shame On You, Fool Me Twice, Shame On Me: A Taxonomy of Attack and Defense Patterns for AI Security
    28th European Conference on Information Systems (ECIS) (Virtual Conference, 15. June 2020 - 17. June 2020)
    In: Association for Information Systems (ed.): Proceedings of the 28th European Conference on Information Systems 2020
    URL: https://aisel.aisnet.org/ecis2020_rp/166/
  • Heinrich K., Zschech P., Janiesch C., Bonin M.:
    Ein Vergleich aktueller Deep-Learning-Architekturen zur Prognose von Prozessverhalten
    15th International Conference on Wirtschaftsinformatik (WI) (Potsdam, 8. March 2020 - 11. March 2020)
    In: Gronau N, Heine M, Krasnova H, Pousttchi K (ed.): Proceedings of the 15th International Conference on Wirtschaftsinformatik, Berlin: 2020
    DOI: 10.30844/wi_2020_i1-heinrich
    URL: https://library.gito.de/oa_wi2020-i1.html
  • Wanner J., Heinrich K., Janiesch C., Zschech P.:
    How Much AI Do You Require? Decision Factors for Adopting AI Technology
    41st International Conference on Information Systems (ICIS) (Virtual Conference, 13. December 2020 - 16. December 2020)
    In: Association for Information Systems (ed.): Proceedings of the 41st International Conference on Information Systems 2020
    URL: https://aisel.aisnet.org/icis2020/implement_adopt/implement_adopt/10/
  • Wanner J., Herm LV., Heinrich K., Janiesch C., Zschech P.:
    White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems
    40th International Conference on Information Systems (ICIS) (Virtual Conference, 13. December 2020 - 16. December 2020)
    In: Association for Information Systems (ed.): Proceedings of the 40th International Conference on Information Systems 2020
    URL: https://aisel.aisnet.org/icis2020/hci_artintel/hci_artintel/14/
  • Zschech P.:
    Data Science and Analytics in Industrial Maintenance: Selection, Evaluation, and Application of Data-Driven Methods (Dissertation, 2020)
    URL: https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-723182
  • Zschech P., Horn R., Hoeschele D., Janiesch C., Heinrich K.:
    Intelligent User Assistance for Automated Data Mining Method Selection
    In: Business & Information Systems Engineering 62 (2020), p. 227-247
    ISSN: 1867-0202
    DOI: 10.1007/s12599-020-00642-3
    URL: https://link.springer.com/article/10.1007/s12599-020-00642-3

2019

  • Heinrich K., Möller B., Janiesch C., Zschech P.:
    Is Bigger Always Better? Lessons Learnt from the Evolution of Deep Learning Architectures for Image Classification
    Pre-ICIS SIGDSA Symposium (Munich, 14. December 2019 - 15. December 2019)
    In: Proceedings of the Pre-ICIS SIGDSA Symposium 2019
    URL: https://aisel.aisnet.org/sigdsa2019/20/
  • Heinrich K., Roth A., Zschech P.:
    Everything Counts: A Taxonomy of Deep Learning Approaches for Object Counting
    27th European Conference on Information Systems (ECIS) (Stockholm & Uppsala, 8. June 2019 - 14. June 2019)
    In: Proceedings of the 27th European Conference on Information Systems 2019
    URL: https://aisel.aisnet.org/ecis2019_rp/63/
  • Heinrich K., Zschech P., Möller B., Breithaupt L., Maresch J.:
    Objekterkennung im Weinanbau – Eine Fallstudie zur Unterstützung von Winzertätigkeiten mithilfe von Deep Learning
    In: HMD : Praxis der Wirtschaftsinformatik 56 (2019), p. 964-985
    ISSN: 1436-3011
    DOI: 10.1365/s40702-019-00514-9
    URL: https://link.springer.com/article/10.1365/s40702-019-00514-9
  • Heinrich K., Zschech P., Skouti T., Griebenow J., Riechert S.:
    Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems
    25th Americas Conference on Information Systems (AMCIS) (Cancún, 15. August 2019 - 17. August 2019)
    In: Proceedings of the 25th Americas Conference on Information Systems 2019
    URL: https://aisel.aisnet.org/amcis2019/ai_semantic_for_intelligent_info_systems/ai_semantic_for_intelligent_info_systems/8/
  • Horn R., Zschech P.:
    Application of Process Mining Techniques to Support Maintenance-Related Objectives
    14th International Conference on Wirtschaftsinformatik (WI) (Siegen, 23. February 2019 - 27. February 2019)
    In: Ludwig T, Pipek V (ed.): Proceedings of the 14th International Conference on Wirtschaftsinformatik, Siegen: 2019
    DOI: 10.25819/ubsi/1016
    URL: https://aisel.aisnet.org/wi2019/specialtrack01/papers/6/
  • Zschech P., Bernien J., Heinrich K.:
    Towards a Taxonomic Benchmarking Framework for Predictive Maintenance: The Case of NASA’s Turbofan Degradation
    40th International Conference on Information Systems (ICIS) (München, 15. December 2019 - 18. December 2019)
    In: Proceedings of the 40th International Conference on Information Systems 2019
    URL: https://aisel.aisnet.org/icis2019/data_science/data_science/4/
  • Zschech P., Heinrich K., Bink R., Neufeld JS.:
    Prognostic Model Development with Missing Labels: A Condition-Based Maintenance Approach Using Machine Learning
    In: Business & Information Systems Engineering 61 (2019), p. 327-343
    ISSN: 1867-0202
    DOI: 10.1007/s12599-019-00596-1
    URL: https://link.springer.com/article/10.1007/s12599-019-00596-1
  • Zschech P., Heinrich K., Horn R., Hoeschele D.:
    Towards a Text-based Recommender System for Data Mining Method Selection
    25th Americas Conference on Information Systems (AMCIS) (Cancún, 15. August 2019 - 17. August 2019)
    In: Proceedings of the 25th Americas Conference on Information Systems 2019
    URL: https://aisel.aisnet.org/amcis2019/ai_semantic_for_intelligent_info_systems/ai_semantic_for_intelligent_info_systems/4/

2018

  • Bink R., Zschech P.:
    Predictive Maintenance in der industriellen Praxis: Entwicklung eines Prognoseansatzes unter eingeschränkter Informationslage
    In: HMD : Praxis der Wirtschaftsinformatik 55 (2018), p. 552-565
    ISSN: 1436-3011
    DOI: 10.1365/s40702-017-0378-2
    URL: https://link.springer.com/article/10.1365/s40702-017-0378-2
  • Könning M., Heinrich K., Zschech P., Leyh C.:
    Analyzing Influences on Pivotal ITO Contract Features: A Quantitative Multi-Study Design with Evidence from Western Europe
    24th Americas Conference on Information Systems (AMCIS) (New Orleans, 16. August 2018 - 18. August 2018)
    In: Proceedings of the 24th Americas Conference on Information Systems 2018
    URL: https://aisel.aisnet.org/amcis2018/OrgTrasfm/Presentations/17/
  • Stefani K., Zschech P.:
    Constituent Elements for Prescriptive Analytics Systems
    26th European Conference on Information Systems (ECIS) (Portsmouth, 23. June 2018 - 28. June 2018)
    In: Proceedings of the 26th European Conference on Information Systems 2018
    URL: https://aisel.aisnet.org/ecis2018_rp/39/
  • Zschech P.:
    A Taxonomy of Recurring Data Analysis Problems in Maintenance Analytics
    26th European Conference on Information Systems (ECIS) (Portsmouth, 23. June 2018 - 28. June 2018)
    In: Proceedings of the 26th European Conference on Information Systems 2018
    URL: https://aisel.aisnet.org/ecis2018_rp/197/
  • Zschech P., Fleißner V., Baumgärtel N., Hilbert A.:
    Data Science Skills and Enabling Enterprise Systems: Eine Erhebung von Kompetenzanforderungen und Weiterbildungsangeboten
    In: HMD : Praxis der Wirtschaftsinformatik 55 (2018), p. 163-181
    ISSN: 1436-3011
    DOI: 10.1365/s40702-017-0376-4
    URL: https://link.springer.com/article/10.1365/s40702-017-0376-4

2017

  • Zschech P., Heinrich K., Pfitzner M., Hilbert A.:
    Are You Up for the Challenge? Towards the Development of a Big Data Capability Assessment Model
    25th European Conference on Information Systems (ECIS) (Guimarães, 5. June 2017 - 10. June 2017)
    In: Proceedings of the 25th European Conference on Information Systems 2017
    URL: https://aisel.aisnet.org/ecis2017_rip/14/
  • Zschech P., Pfitzner M., Hilbert A.:
    Vom Controller zum Prozessanalysten
    In: Controlling & Management Review 61 (2017), p. 24-33
    ISSN: 2195-8262
    DOI: 10.1007/s12176-017-0031-5

2016

  • Hilbert A., Zschech P.:
    Process Analytics
    In: Das Wirtschaftsstudium 45 (2016), p. 942 - 948
    ISSN: 0340-3084
  • Schumann C., Zschech P., Hilbert A.:
    Das aufstrebende Berufsbild des Data Scientist: Vom Kompetenzwirrwarr zu spezifischen Anforderungsprofilen
    In: HMD : Praxis der Wirtschaftsinformatik 53 (2016), p. 453-466
    ISSN: 1436-3011
    DOI: 10.1365/s40702-016-0214-0
    URL: https://link.springer.com/article/10.1365/s40702-016-0214-0

2014

  • Kruse P., Kummer C., Zschech P.:
    Existieren Wissensmanagement-Schulen? Eine Clusteranalyse von Wissensmanagement-Beiträgen aus den letzten 10 Jahren
    17. Workshop Gemeinschaften in Neuen Medien: Virtual Enterprises, Research Communities and Social Media Networks - Online Communities: Technologies and Analyses for Networks in Industry, Research and Education, (GeNeMe) (Dresden, 1. October 2014 - 2. October 2014)
    Open Access: https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-154012
    URL: https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-154012
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