Dr. Andreas Weiler

Arbeit an der ZHAW

Tätigkeit

• Dozent für Intelligente Informationssysteme
• Stellvertretender Gruppenleiter der Forschungsgruppe Intelligente Informationssystems
• Studienleiter in der Weiterbildung für den CAS Information Engineering
• Management Committee Member for Switzerland in the COST Action CA23147 Global Network on Large-Scale, Cross-domain and Multilingual Open Knowledge Graphs (GOBLIN)

Lehrtätigkeit

• BSc Modul Datenbanken
• BSc Modul Data Engineering 1
• BSc Modul Data Engineering 2
• BSc Modul Data Engineering für Applied Digital Life Sciences

Lehrtätigkeit in der Weiterbildung

CAS Information Engineering

Aus- und Weiterbildung

Ausbildung

• CAS Digital Learning / Education
  Zürcher Hochschule für Angewandte Wissenschaften (ZHAW)
  02 / 2023 - 11 / 2023
• Dr. rer. nat. / Computer Science
  Universität Konstanz
  04 / 2010 - 04 / 2016
• Master of Science / Computer Science
  Universität Konstanz
  02 / 2007 - 03 / 2010
• Bachelor of Science / Computer Science
  Universität Konstanz
  02 / 2003 - 03 / 2006

Netzwerk

Mitglied in Netzwerken

LinkedIn

ORCID digital identifier

ORCID ID: 0000-0002-8385-2537

Projekte

• Smart UMH: Smart urban multihub concept: Sustainable and liveable cities with low logistics visibility / Teammitglied / laufend
• Digital Transformation at the Local Tier of Government in Europe: Dynamics and Effects from a Cross-Countries and Over-Time Comparative Perspective / Stellv. Projektleiter:in / abgeschlossen
• Transformation der Textilindustrie von Push- zu Pull-Produktion durch Digitalisierung / Teammitglied / abgeschlossen
• Scansor 2.0 – Monitoring von komplexen Systemlandschaften mit Künstlicher Intelligenz / Projektleiter:in / abgeschlossen
• Prädiktive Bevorratung von Micro-Hubs für die dezentrale Lebensmittelversorgung / Teammitglied / abgeschlossen
• Skillue – Digitaler Marktplatz für Fähigkeiten und Marktwerte / Stellv. Projektleiter:in / abgeschlossen

Publikationen

Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed

Gerber, J. et al. (2025) 'Benchmarking state of the art website embedding methods for effective processing and analysis in the public sector', Journal of Intelligent Information Systems, 64, pp. 97–120. doi: 10.1007/s10844-025-00954-4.

Schriftliche Konferenzbeiträge, peer-reviewed

• Saxer, J. et al. (2026) 'Query carefully : detecting the unanswerables in text-to-SQL tasks', in Bruno, P. et al. (eds) Artificial intelligence for healthcare, and hybrid models for coupling deductive and inductive reasoning. Cham: Springer, pp. 497–509. doi: 10.1007/978-3-032-16708-8_39.
• Saxer, J. et al. (2026) 'Website segmentation beyond structure : a benchmark on functional and digital maturity classes', in Campos, R. et al. (eds). Cham: Springer, pp. 222–236. doi: 10.1007/978-3-032-21300-6_14.
• Gerber, J. et al. (2025) 'WebClasSeg-25 : a dual-classified webpage segmentation dataset - integrating functional and maturity-based analysis'. Association for Computing Machinery, pp. 3792–3801. doi: 10.1145/3726302.3730309.
• Gerber, J. et al. (2024) 'Towards website x-ray for Europe's municipalities : unveiling digital transformation with multimodal embeddings', in Haghighi, P. D. et al. (eds) Information Integration and Web Intelligence. Cham: Springer, pp. 125–139. doi: 10.1007/978-3-031-78090-5_11.
• Gerber, J. et al. (2024) 'Digilog : enhancing website embedding on local governments - a comparative analysis', in Appice, A. et al. (eds) Foundations of Intelligent Systems. Cham: Springer, pp. 126–135. doi: 10.1007/978-3-031-62700-2_12.
• Gerber, J. et al. (2024) 'DIGILOG : towards a monitoring platform for digital transformation of European communities', in RCIS 2024 Workshops and Research Projects Track. CEUR Workshop Proceedings. doi: 10.21256/zhaw-32479.
• Appel, J. and Weiler, A. (2024) 'XCrowd : a realistic crowd simulation tool for efficient movement management', in Palpanas, T. and Jagadish, H. V. (eds) EDBT/ICDT 2024 Workshops. CEUR Workshop Proceedings. doi: 10.21256/zhaw-30720.
• Smith, E., Weiler, A. and Braschler, M. (2021) 'Skill extraction for domain-specific text retrieval in a job-matching platform', in Candan, K. S. et al. (eds) Experimental IR Meets Multilinguality, Multimodality, and Interaction. Cham: Springer, pp. 116–128. doi: 10.1007/978-3-030-85251-1_10.
• Westermann, A., Krayer, P. and Weiler, A. (2020) 'AdsISee : advertisement detection and tracking for sponsorship evaluation in soccer matches', in Proceedings of the DARLI-AP 2020 : Data Analytics Solutions for Real-Life Applications Workshop of the EDBT/ICDT 2020 Joint Conference.
• Affolter, R. and Weiler, A. (2020) 'FacetX : dynamic facet generation for advanced information filtering of search results', in Proceedings of the SEA Data 2020 : Search, Exploration, and Analysis in Heterogeneous Datastores Workshop of the EDBT/ICDT 2020 Joint Conference.
• Roost, D. et al. (2020) 'Improving sample efficiency and multi-agent communication in RL-based train rescheduling', in Proceedings of the 7th SDS. IEEE. doi: 10.21256/zhaw-19978.
• Smith, E. et al. (2019) 'Syntax-based skill extractor for job advertisements', in 2019 6th Swiss Conference on Data Science (SDS). IEEE, pp. 80–81. doi: 10.1109/SDS.2019.000-3.
• Weiler, A. et al. (2019) 'Towards reproducible research of event detection techniques for Twitter', in 2019 6th Swiss Conference on Data Science (SDS). IEEE, pp. 69–74. doi: 10.1109/SDS.2019.000-5.

Forschungsdaten

Gerber, Jonathan; Saxer, Jasmin; Baptista Kreiner, Bruno; Rabishokr, Kimia; Weiler, Andreas, 2026. WebClasSeg25. Zenodo. Verfügbar unter: https://doi.org/10.5281/zenodo.14881792

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