Claude Lehmann
Claude Lehmann
ZHAW
School of Engineering
Forschungsschwerpunkt Intelligent Information Systems
Obere Kirchgasse 2 / Steinberggasse 12/14
8400 Winterthur
Work at ZHAW
Position
Scientific Employee
Focus
- Query Optimization
- Databases
- Machine Learning
- Quantum Computing
Professional development teaching
Experience
- Intern
Microsoft Research
06 / 2025 - 09 / 2025 - Software Engineer
Squibble GmbH
09 / 2015 - 07 / 2019 - Intern
ILF Consulting Engineers
01 / 2011 - 08 / 2013
Education and Continuing education
Education
- Master of Science ZFH / Engineering with Specialisation in ICT (Data Science)
ZHAW Zurich University of Applied Sciences
09 / 2019 - 08 / 2022 - Bachelor of Science ZFH / Computer Science
ZHAW Zurich University of Applied Sciences
09 / 2015 - 08 / 2019
Network
Membership of networks
ORCID digital identifier
Projects
- AI4Flex.Data: AI-Driven Cross-Engine Optimization of Concurrent Workloads (SNF) / Team member / ongoing
- DataGEMS - Data Discovery Platform with Generalized Exploratory, Management, and Search Capabilities (Horizon Europe) / Team member / ongoing
- Digital Health Zurich: a practice lab for patient-centred clinical innovation / Team member / ongoing
- DataInc – Intelligent Data Integration and Cleaning / Team member / completed
- GraphQueryML – Using Machine Learning to Optimize Queries in Graph Databases (SNSF/DFG) / Team member / completed
- NQuest – Natural Language Query Exploration System / Team member / completed
- Decision Support System for Predictive Maintenance of Laser Cutting Machines / Team member / completed
Publications
Articles in scientific journal, peer-reviewed
- Difrancesco, S. et al. (2025) 'Collaborative design and development of a patient-centered digital health app for supportive cancer care : participatory study', JMIR Human Factors, 12(e73829). doi: 10.2196/73829.
- Lehmann, C., Sulimov, P. and Stockinger, K. (2024) 'Is your learned query optimizer behaving as you expect? : a machine learning perspective', Proceedings of the VLDB Endowment, 17(7), pp. 1565–1577. doi: 10.14778/3654621.3654625.
- Lehmann, C. et al. (2020) 'Big data architecture for intelligent maintenance : a focus on query processing and machine learning algorithms', Journal of Big Data, 7(1). doi: 10.1186/s40537-020-00340-7.
Written conference contributions, peer-reviewed
- Lehmann, C., Stockinger, K. and Sulimov, P. (2026) 'Flood detection in Switzerland using Sentinel-2 satellite imagery', in 13th IEEE Swiss Conference on Data Science and AI (SDS), Zurich, Switzerland, 6-7 May 2026. IEEE. doi: 10.21256/zhaw-36610.
- Sulimov, P., Lehmann, C. and Stockinger, K. (2025) 'GenJoin : conditional generative plan-to-plan query optimizer that learns from subplan hints', in Proceedings of the ACM on Management of Data. Association for Computing Machinery, p. 247. doi: 10.1145/3749165.
- Lehmann, C. et al. (2022) 'Building natural language interfaces for databases in practice', in Proceedings of the 34th SSDBM. Association for Computing Machinery. doi: 10.1145/3538712.3538744.
- Klingler, Y. et al. (2022) 'Evaluation of algorithms for interaction-sparse recommendations : neural networks don't always win', in Proceedings of EDBT 2022. OpenProceedings, pp. 475–486. doi: 10.48786/edbt.2022.42.