Prof. Dr. Sandra Zilker
Research Areas
- Business Analytics
- Business Process Management, esp. Predictive Business Process Monitoring
CV
Work Experience
| Since 03/2024 | Technische Hochschule Nürnberg Georg Simon Ohm Professor |
| 12/2023 – 02/2024 | Friedrich-Alexander-Universität Erlangen-Nürnberg Akademische Rätin a. Z. | Chair of Digital Industrial Service Systems |
| 10/2018 – 11/2023 | Friedrich-Alexander-Universität Erlangen-Nürnberg Researcher | Chair of Digital Industrial Service Systems |
| 11/2016 – 09/2018 | comma, GmbH & Co. KG Merchandise Planner & Allocator |
Education
| 10/2018 – 06/2023 | Friedrich-Alexander-Universität Erlangen-Nürnberg Doctoral Degree | Information Systems |
| 05/2014 – 07/2016 | Julius-Maximilians-Universität Würzburg Master of Science | Information Systems |
| 01/2014 – 05/2014 | Florida Gulf Coast University, Fort Myers, Florida Semester abroad |
| 10/2010 – 05/2014 | Julius-Maximilians-Universität Würzburg Bachelor of Science | Wirtschaftswissenschaften |
Publications
2025
- Dunzer S., Zilker S., Weinzierl S., Tang W., Dieckmann F., Stenglein S., Rist J., Matzner M.:
A technology-specific process mining maturity grid for manufacturing and logistics
In: International Journal of Production Research (2025)
ISSN: 0020-7543
DOI: 10.1080/00207543.2025.2451810
URL: https://www.tandfonline.com/doi/full/10.1080/00207543.2025.2451810 - Herchenbach M., Weinzierl S., Zilker S., Schwulera E., Matzner M.:
Adaptive AI-based causal control: Toward an autonomous factory in solder paste printing
In: Computers in Industry (2025)
ISSN: 0166-3615
DOI: 10.1016/j.compind.2025.104256
URL: https://www.sciencedirect.com/science/article/pii/S0166361525000211 - Kruschel S., Hambauer N., Weinzierl S., Zilker S., Kraus M., Zschech P.:
Challenging the performance-interpretability trade-off: An evaluation of interpretable machine learning models
In: Business & Information Systems Engineering (2025)
ISSN: 1867-0202
DOI: 10.1007/s12599-024-00922-2
URL: https://link.springer.com/article/10.1007/s12599-024-00922-2
2024
- Weinzierl S., Zilker S., Dunzer S., Matzner M.:
Machine learning in business process management: A systematic literature review
In: Expert Systems With Applications 253 (2024), Article No.: 124181
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2024.124181
URL: https://www.sciencedirect.com/science/article/pii/S0957417424010479 - Zilker S., Weinzierl S., Kraus M., Zschech P., Matzner M.:
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
In: Health Care Management Science 27 (2024), p. 136-167
ISSN: 1386-9620
DOI: 10.1007/s10729-024-09673-8
URL: https://link.springer.com/article/10.1007/s10729-024-09673-8#article-info
2024
- Harl M., Zilker S., Weinzierl S.:
Towards automated business process redesign in runtime using generative machine learning
European Conference on Information Systems (Paphos, Cyprus)
In: Proceedings of the 32nd European Conference on Information Systems 2024 - Ließmann A., Wang W., Weinzierl S., Zilker S., Matzner M.:
Transfer Learning for Predictive Process Monitoring
European Conference on Information Systems (Paphos, Cyprus)
In: Proceedings of the 32nd European Conference on Information Systems 2024 - Ließmann A., Zilker S., Weinzierl S., Sukhareva M., Matzner M.:
Predicting Customer Satisfaction in Service Processes Using Multilingual Large Language Models
Hawaii International Conference on System Sciences (Waikiki, Honolulu, Hawaii)
In: Proceedings of the 57th Hawaii International Conference on System Sciences 2024 - Weinzierl S., Zilker S., Brunk J., Revoredo K., Matzner M., Becker J.:
Context-aware explanations of accurate predictions in service processes
Hawaii International Conference on System Sciences (Waikiki, Honolulu, Hawaii)
In: Proceedings of the 57th Hawaii International Conference on System Sciences 2024 - Weinzierl S., Zilker S., Zschech P., Kraus M., Leibelt T., Matzner M.:
How risky is my AI system? A method for transparent classification of AI system descriptions by regulated AI risk categories
International Conference on Information Systems (Bangkok, Thailand)
In: Proceedings of the 45th International Conference on Information Systems 2024
URL: https://open.fau.de/bitstreams/092b306d-86fb-420d-8ba1-57172d11611a/download
2023
- Dunzer S., Tang W., Höchstädter N., Zilker S., Matzner M.:
Design Principles for Using Business Process Management Systems
Business Process Management 2023 Workshops (Utrecht, The Netherlands, 11. September 2023 - 15. September 2023)
In: Jochen De Weerdt and Luise Pufahl (ed.): Business Process Management Workshops, Cham, Switzerland: 2023 - Zilker S., Weinzierl S., Zschech P., Kraus M., Matzner M.:
Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction
European Conference on Information Systems (Kristiansand, 13. June 2023 - 16. June 2023)
In: Proceedings of the 31st European Conference on Information Systems 2023
DOI: 10.25593/open-fau-1123
URL: https://open.fau.de/bitstreams/c8ea3d7e-7fb9-4932-9828-501af75d1f89/download
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
DOI: 10.1007/978-3-031-25383-6_22 - 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
DOI: 10.1007/978-3-030-86800-0_43
URL: https://aisel.aisnet.org/wi2021/EManagementofdigitalprocesses20/Track20/2/ - 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
No publications found.