Dr. Farhad Nooralahzadeh
Dr. Farhad Nooralahzadeh
ZHAW
School of Engineering
Forschungsschwerpunkt Intelligent Information Systems
Obere Kirchgasse 2 / Steinberggasse 12/14
8400 Winterthur
Netzwerk
ORCID digital identifier
Projekte
- KI-gestützte klinische Entscheidungsfindung in der Radiologie durch multimodale Analyse / Projektleiter:in / laufend
- DataGEMS - Data Discovery Platform with Generalized Exploratory, Management, and Search Capabilities (Horizon Europe) / Co-Projektleiter:in / laufend
- Reliable Multi-lingual and Cross-lingual Open Data Exploration in Natural Language / Projektleiter:in / abgeschlossen
- INODE4StatBot.swiss – Anwendung neuer Algorithmen zur automatischen Übersetzung natürlicher Sprache in die Datenbankabfragesprache SQL (NL-to-SQL) / Teammitglied / abgeschlossen
- INODE – Intelligent Open Data Exploration (EU Horizon 2020) / Teammitglied / abgeschlossen
Publikationen
Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
Kosten, C., Nooralahzadeh, F. and Stockinger, K. (2025) 'Evaluating the effectiveness of prompt engineering for knowledge graph question answering', Frontiers in Artificial Intelligence, 7(1454258). doi: 10.3389/frai.2024.1454258.
Schriftliche Konferenzbeiträge, peer-reviewed
- Gundersen, B. et al. (2026) 'RadVLM-GRPO : enhancing chest X-ray report generation and visual grounding via reinforcement learning', in Medical Imaging with Deep Learning. OpenReview. doi: 10.21256/zhaw-36426.
- Nooralahzadeh, F. et al. (2025) 'Multi-modal data exploration via language agents', in Inui, K. et al. (eds) Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics. Association for Computational Linguistics, pp. 795–813. doi: 10.18653/v1/2025.findings-ijcnlp.47.
- Nooralahzadeh, F. et al. (2024) 'StatBot.Swiss : bilingual open data exploration in natural language', in Findings of the Association for Computational Linguistics: ACL 2024. Association for Computational Linguistics, pp. 5486–5507. doi: 10.18653/v1/2024.findings-acl.326.