Pascal Sager
Pascal Sager
ZHAW
School of Engineering
Machine Perception & Cognition Group
Technikumstrasse 71
8400 Winterthur
Arbeit an der ZHAW
Tätigkeit
PhD Student | Leiter AI Demonstrationen
Arbeits- und Forschungsschwerpunkte
AI, Deep Learning, World Models, Robotik
Lehrtätigkeit
- Unterstützung Praktikum Artificial Intelligence 1 (BSc.)
- Unterstützung Praktikum Artificial Intelligence (MAS)
- Leitung Praktikum Machine Learning and Data Mining (BSc.)
Berufserfahrung
- Co-Founder
Binabik AI
01 / 2026 - heute - Vorstandsmitglied: Sustainable Impact Program
Zürcher Hochschule für Angewandte Wissenschaften
08 / 2023 - heute - Senior Data Scientist
AlpineAI AG
08 / 2023 - 12 / 2024 - Leiter GPU Infrastruktur und AI Demonstratoren
Zürcher Hochschule für Angewandte Wissenschaften
07 / 2022 - 08 / 2023 - Wissenschaftlicher Assistent am Zentrum für KI
Zürcher Hochschule für Angewandte Wissenschaften
09 / 2020 - 05 / 2022 - Software Engineer
Spühl GmbH
09 / 2018 - 09 / 2020 - Software Engineer PLC
Hardinge Europa
07 / 2015 - 08 / 2017 - Hardware Design Engineer
Spühl GmbH
08 / 2013 - 07 / 2015 - Lernender Automatiker
Spühl GmbH
08 / 2009 - 07 / 2013
Aus- und Weiterbildung
Ausbildung
- Master of Science / Data Science
Zürcher Hochschule für Angewandte Wissenschaften
08 / 2020 - 08 / 2023 - Bachelor of Science / Informatik
Zürcher Hochschule für Angewandte Wissenschaften
08 / 2017 - 07 / 2020 - Techniker HF (ISCED 6) / Elektrotechnik
ZBW - Zentrum für berufliche Weiterbildung
08 / 2013 - 07 / 2016 - Automatiker EFZ / Automation
GBS Gewerbliches Berufs- und Weiterbildungszentrum St. Gallen
08 / 2009 - 07 / 2013
Netzwerk
Mitglied in Netzwerken
- data innovation alliance
- CLAIRE, the Confederation of Laboratories for Artificial Intelligence Research in Europe
- Digital Futures Lab
- CLAIRE Rising Researchers Network
- Datalab, the ZHAW Data Science Laboratory
- CLAIRE, the Confederation of Laboratories for Artificial Intelligence Research in Europe
- Data Innovation Alliance
ORCID digital identifier
Social Media
Projekte
- Weltmodelle durch Interaktionen lernen für Next-Generation KI / Projektleiter:in / laufend
- Avatar Demo: VR-Steuerung für humanoiden Roboter / Stellv. Projektleiter:in / abgeschlossen
- Talking Bots: Interactive Voice Interface for Humanoid Robots in Networking Events / Stellv. Projektleiter:in / abgeschlossen
- Stability of self-organizing net fragments as inductive bias for next-generation deep learning / Teammitglied / abgeschlossen
- Machine Learning für Body Composition Analysis / Stellv. Projektleiter:in / abgeschlossen
- AUTODIDACT – Automated Video Data Annotation to Empower the ICU Cockpit Platform for Clinical Decision Support / Teammitglied / abgeschlossen
- RealScore – Scanning of Real-World Sheet Music for a Digital Music Stand / Teammitglied / abgeschlossen
- Visual Food Waste Analysis for Sustainable Kitchens / Teammitglied / abgeschlossen
Publikationen
Beiträge in wissenschaftlicher Zeitschrift, peer-reviewed
- Sager, P. J. et al. (2026) 'A comprehensive survey of agents for computer use : foundations, challenges, and future directions', Journal of Artificial Intelligence Research, 85(34). doi: 10.1613/jair.1.19490.
- Sager, P. J. et al. (2026) 'The cooperative network architecture : learning structured networks as representation of sensory patterns', Neural Computation, 38(4), pp. 538–572. doi: 10.1162/neco.a.1505.
- Tuggener, L. et al. (2024) 'Real world music object recognition', Transactions of the International Society for Music Information Retrieval, 7(1), pp. 1–14. doi: 10.5334/tismir.157.
- Etaiwi, L. et al. (2024) 'Consensus task interaction trace recommender to guide developers' software navigation', Empirical Software Engineering, 29(147). doi: 10.1007/s10664-024-10528-7.
- Sager, P. et al. (2022) 'Unsupervised domain adaptation for vertebrae detection and identification in 3D CT volumes using a domain sanity loss', Journal of Imaging, 8(8), p. 222. doi: 10.3390/jimaging8080222.
Schriftliche Konferenzbeiträge, peer-reviewed
- Taoudi-Benchekroun, Y. et al. (2026) 'COGITAO : a procedural and object-centric framework to evaluate compositional and systematic generalization', in 2nd Workshop on Compositional Learning: Safety, Interpretability, and Agents (CompLearn), Seoul, South Korea, 11 July 2026. OpenReview. doi: 10.21256/zhaw-36755.
- Sager, P. et al. (2025) 'Deep retrieval at CheckThat! 2025 : identifying scientific papers from implicit social media mentions via hybrid retrieval and re-ranking', in Faggioli, G. et al. (eds) Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2025). CEUR Workshop Proceedings, pp. 1141–1155. doi: 10.21256/zhaw-33534.
- Meyer, B. et al. (2025) 'Hounsfield unit ranges as inductive bias for intra-clinical learning of data-efficient CT segmentation models', in 2025 IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 1–7. doi: 10.1109/SDS66131.2025.00008.
- Saponati, M. et al. (2025) 'The underlying structures of self-attention : symmetry, directionality, and emergent dynamics in Transformer training', in Singh, A. et al. (eds) Proceedings of the 42nd International Conference on Machine Learning. Proceedings of Machine Learning Research, pp. 52958–52994. doi: 10.21256/zhaw-33652.
- Tuggener, L. et al. (2024) 'So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs', in 2024 11th IEEE Swiss Conference on Data Science (SDS). IEEE, pp. 205–212. doi: 10.1109/SDS60720.2024.00036.
- Simmler, N. et al. (2021) 'A survey of un-, weakly-, and semi-supervised learning methods for noisy, missing and partial labels in industrial vision applications', in Proceedings of the 8th SDS. IEEE, pp. 26–31. doi: 10.1109/SDS51136.2021.00012.