Dr. Farhad Nooralahzadeh

Work at ZHAW

Position

Lecturer in Computer Science

Focus

• Multimodal Data Exploration
• Natural Language Processing
• AI Alignment in Medicine
• Intelligent Information Systems

Teaching

• Intelligent Information Systems
• Software Project Module 1
• Artificial Intelligence & Machine Learning (CAS Medical Leadership)- University of Zurich
• Multimodal Multilingual NLP (University of Zurich)
• NLP for Medicine (University of Zurich)

Education and Continuing education

Continuing Education

• Teaching Skills (Didaktik)
  University of Zurich
  09 / 2024
• Ph.D. / Computer Science
  University of Oslo
  10 / 2020

Network

ORCID digital identifier

ORCID ID: 0000-0002-9053-0894

Projects

• Enabling real-time medical reasoning through multi-agent workflows / Project leader / ongoing
• Radiology AI-Driven Clinical Decision-Making with Multi-Modal Exploration / Project leader / ongoing
• DataGEMS – Data Discovery Platform with Generalized Exploratory, Management, and Search Capabilities (Horizon Europe) / Co-project leader / ongoing
• Reliable Multi-lingual and Cross-lingual Open Data Exploration in Natural Language / Project leader / completed
• INODE4StatBot.swiss – Application of new algorithms for automatic natural language translation into database query language SQL (NL-to-SQL) / Team member / completed
• INODE – Intelligent Open Data Exploration (EU Horizon 2020) / Team member / completed

Publications

Articles in scientific journal, peer-reviewed

Kosten, C., Nooralahzadeh, F., & Stockinger, K. (2025). Evaluating the effectiveness of prompt engineering for knowledge graph question answering. Frontiers in Artificial Intelligence, 7(1454258). https://doi.org/10.3389/frai.2024.1454258

Written conference contributions, peer-reviewed

• Gundersen, B., Deperrois, N., Ruiperez-Campillo, S., Sutter, T. M., Vogt, J. E., Moor, M., Nooralahzadeh, F., & Krauthammer, M. (2026, April 11). RadVLM-GRPO : enhancing chest X-ray report generation and visual grounding via reinforcement learning. Medical Imaging with Deep Learning. https://doi.org/10.21256/zhaw-36426
• Nooralahzadeh, F., Zhang, Y., Fürst, J., & Stockinger, K. (2025). Multi-modal data exploration via language agents [Conference paper]. In K. Inui, S. Sakti, H. Wang, D. F. Wong, P. Bhattacharyya, B. Banerjee, A. Ekbal, T. Chakraborty, & D. P. Singh (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 (pp. 795–813). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-ijcnlp.47
• Nooralahzadeh, F., Zhang, Y., Smith, E., Maennel, S., Matthey-Doret, C., Raphaël, d. F., & Stockinger, K. (2024). StatBot.Swiss : bilingual open data exploration in natural language [Conference paper]. Findings of the Association for Computational Linguistics: ACL 2024, 5486–5507. https://doi.org/10.18653/v1/2024.findings-acl.326

Other publications

Nishio, M., Matsuo, H., Matsunaga, T., Fujimoto, K., Deperrois, N., Nooralahzadeh, F., Frauenfelder, T., Krauthammer, M., & Murakami, T. (2026). Zero-shot performance of six vision-language models for lung nodule detection on chest radiographs. American Journal of Roentgenology. https://doi.org/10.2214/ajr.26.35421

Publications before appointment at the ZHAW

• Nooralahzadeh, F., Perez Gonzalez, N., Frauenfelder, T., Fujimoto, K., Krauthammer, M. (2021). Progressive Transformer-Based Generation of Radiology Reports. Findings of EMNLP.
• Nooralahzadeh, F., & Sennrich, R. (2023). Improving the Cross-Lingual Generalisation in Visual Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence, 37(11), 13419–13427. https://doi.org/10.1609/aaai.v37i11.26574
• Nooralahzadeh, F., Bekoulis, G., Bjerva, J., Augenstein, I. (2020). Zero-Shot Cross-Lingual Transfer with Meta Learning. EMNLP.
• Nooralahzadeh, F., Brun, C., Roux, C. (2014). Part of Speech Tagging for French Social Media Data. COLING.
• Nooralahzadeh, F., Øvrelid, L., Lønning, J. T. (2018). Evaluation of Domain-specific Word Embeddings using Knowledge Resources. LREC.
• Nooralahzadeh, F., Øvrelid, L. (2018). Syntactic Dependency Representations in Neural Relation Classification. RelNLP Workshop.
• Nooralahzadeh, F., Øvrelid, L., Lønning, J. T. (2018). SIRIUS-LTG-UiO at SemEval-2018 Task 7: CNNs with Shortest Dependency Paths for Semantic Relation Extraction. SemEval.
• Nooralahzadeh, F., Øvrelid, L. (2018). SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification. FEVER Workshop.
• Nooralahzadeh, F., Lønning, J. T., Øvrelid, L. (2019). Reinforcement-based denoising of distantly supervised NER with partial annotation. DeepLo (EMNLP Workshop).

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