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Friedrich-Alexander-Universität Chair of Digital Industrial Service Systems WISO
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  1. Friedrich-Alexander-Universität
  2. School of Business, Economics and Society
Friedrich-Alexander-Universität Chair of Digital Industrial Service Systems WISO
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Sandra Zilker

In page navigation: Team
  • Prof. Dr. Martin Matzner
  • Dr. Sven Weinzierl
  • Charlotte Bahr
  • Pepe Bellin
  • Sebastian Dunzer
  • Mohammed Al Ghadban
  • Annina Ließmann
  • Willi Tang
  • Sandra Zilker

Sandra Zilker

Sandra Zilker, M. Sc.

School of Business, Economics and Society
Chair of Digital Industrial Service Systems

Room: Room 33.1.19
Fürther Straße 248
90429 Nürnberg
  • Phone number: +499115302-96486
  • Email: sandra.zilker@fau.de

Research Areas

  • Process Mining
  • Process Prediction (with Machine Learning)

Teaching

  • Internet of Things and Industrial Services Seminar 
  • Seminar Wirtschaftsinformatik 
  • Forschungsmethodisches Seminar

CV

Work Experience

Since 10/2018 Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Researcher | Chair Digital Industrial Service Systems
11/2016 –09/2018 comma, GmbH & Co. KG
Merchandise Planner & Allocator
08/2013 – 11/2013 Glossybox; Beauty Trend GmbH
Intern  | Operations/ Logistik
03/2011 – 09/2014 Lehrstuhl Prof. Thome, Julius-Maximilians-Universität Würzburg
Student Assistant

Education

Since 10/2018 Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
Doctoral Degree | Information Systems
05/2014 – 07/2016 Julius-Maximilians-Universität Würzburg (JMU)
Master of Science | Information Systems
01/2014 – 05/2014 Florida Gulf Coast University, Fort Myers, Florida (FGCU)
Auslandssemester
10/2010 – 05/2014 Julius-Maximilians-Universität Würzburg (JMU)
Bachelor of Science | Wirtschaftswissenschaften

Publications

Articles

No publications found.

Conferences

2022

  • Cabrera Pérez L., Weinzierl S., Zilker S., Matzner M.:
    Text-aware predictive process monitoring with contextualized word embeddings
    International Conference on Business Process Management (Münster)
    In: Proceedings of the BPM 2022 International Workshops 2022
  • Weinzierl S., Bartelheimer C., Zilker S., Beverungen D., Matzner M.:
    A method for predicting workarounds in business processes
    Pacific Asia Conference on Information Systems (Taipei-Sydney, 5. July 2022 - 9. July 2022)
    In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
  • Zilker S.:
    Designing a Method for Resource-specific Next Activity Prediction
    Pacific Asia Conference on Information Systems (PACIS) (Taipei - Sydney // Virtual, 5. July 2022 - 9. July 2022)
    In: Proceedings of the 25th Pacific Asia Conference on Information Systems 2022
  • Zilker S., Marx E., Stierle M., Matzner M.:
    Process Mining for Advanced Service Analytics – From Process Efficiency to Customer Encounter and Experience
    Hawaii International Conference on System Sciences (Maui, Hawaii, 4. January 2022 - 7. January 2022)
    In: Proceedings of the 55th Hawaii International Conference on System Sciences 2022
    DOI: 10.24251/HICSS.2022.239
    URL: http://hdl.handle.net/10125/79571
  • 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

  • Dunzer S., Zilker S., Marx E., Grundler V., Matzner M.:
    The Status Quo of Process Mining in the Industrial Sector
    International Conference on Wirtschaftsinformatik (WI) (Duisburg-Essen // Virtual, 9. March 2021 - 11. March 2021)
    In: Proceedings of the 16th International Conference on Wirtschaftsinformatik (WI) 2021
    URL: https://aisel.aisnet.org/wi2021/EManagementofdigitalprocesses20/Track20/2/
  • Ochmann J., Zilker S., Laumer S.:
    The evaluation of the black box problem for AI-based recommendations: An interview-based study
    Proceedings of the 16. Internationale Tagung Wirtschaftsinformatik
  • Stierle M., Brunk J., Weinzierl S., Zilker S., Matzner M., Becker J.:
    Bringing light into the darkness - A systematic literature review on explainable predictive business process monitoring techniques
    European Conference on Information Systems (Marrakesch)
    In: Proceedings of the 29th European Conference on Information Systems 2021
  • Weinzierl S., Dunzer S., Tenschert J., Zilker S., Matzner M.:
    Predictive business process deviation monitoring
    European Conference on Information Systems (Marrakesch)
    In: Proceedings of the 29th European Conference on Information Systems 2021

2020

  • Ochmann J., Michels L., Zilker S., Tiefenbeck V., Laumer S.:
    The influence of algorithm aversion and anthropomorphic agent design on the acceptance of AI-based job recommendations
    Proceedings of the 41st International Conference on Information Systems (ICIS) (Hyderabad, Indien)
    In: International Conference on Information Systems (ICIS) (ed.): Proceedings of the 41st International Conference on Information Systems (ICIS) 2020
  • Ochmann J., Zilker S., Laumer S.:
    Job Seekers' Artificial Intelligence-related Black Box Concerns
    Proceedings of the 2020 on Computers and People Research Conference (SIGMIS-CPR'20). (New York, NY, USA,)
    In: Association for Computing Machinery (ed.): Proceedings of the 2020 on Computers and People Research Conference 2020
    DOI: 10.1145/3378539.3393841
  • Stierle M., Zilker S., Dunzer S., Tenschert J., Karagegova G.:
    Design Principles for Comprehensible Process Discovery in Process Mining
    In: Rowe F, Amrani RE, Limayem M, Newell S, Pouloudi N, Heck E, Quammah AE (ed.): 28th European Conference on Information Systems - Liberty, Equality, and Fraternity in a Digitizing World, ECIS 2020, Marrakech, Morocco, June 15-17, 2020 2020
    URL: https://aisel.aisnet.org/ecis2020_rp/42/
  • Weinzierl S., Dunzer S., Zilker S., Matzner M.:
    Prescriptive business process monitoring for recommending next best actions
    International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
    In: Proceedings of the 18th International Conference on Business Process Management Forum 2020
    DOI: 10.1007/978-3-030-58638-6_12
    URL: https://link.springer.com/content/pdf/10.1007/978-3-030-58638-6_12.pdf
  • Weinzierl S., Stierle M., Zilker S., Matzner M.:
    A next click recommender system for web-based service analytics with context-aware LSTMs
    Hawaii International Conference on System Sciences (Grand Wailea, Maui, Hawaii, 7. January 2020 - 10. January 2020)
    In: Proceedings of the 53rd Hawaii International Conference on System Sciences 2020
    DOI: 10.24251/HICSS.2020.190
    URL: http://hdl.handle.net/10125/63929
  • Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
    XNAP: Making LSTM-based next activity predictions explainable by using LRP
    International Conference on Business Process Management (Sevilla, 13. September 2020 - 18. September 2020)
    In: Proceedings of the BPM 2020 International Workshops. 2020
    DOI: 10.1007/978-3-030-66498-5_10
  • Weinzierl S., Zilker S., Stierle M., Park G., Matzner M.:
    From predictive to prescriptive process monitoring: Recommending the next best actions instead of calculating the next most likely events
    Internationale Tagung Wirtschaftsinformatik (Potsdam, 8. March 2020 - 11. March 2020)
    In: Proceedings of the 15th International Conference on Wirtschaftsinformatik 2020
    DOI: 10.30844/wi_2020_c12-weinzierl
    URL: https://library.gito.de/open-access-pdf/C12_Prescriptive_process_monitoring_-_a_technique_for_determining_next_best_actions_resub.pdf

Reports

No publications found.

FAU Erlangen-Nürnberg
Chair of Digital Industrial Service Systems

Fürther Str. 248
90429 Nürnberg
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