Benjamin Meyer
Benjamin Meyer
ZHAW
School of Engineering
Machine Perception & Cognition Group
Technikumstrasse 71
8400 Winterthur
Projects
- Evidence-Based Diagnostic Assistance for Echocardiography / Team member / ongoing
- Machine Learning for Body Composition Analysis / Team member / completed
- 3D-Master for a Digitized Manufacturing Platform / Team member / completed
Publications
Articles in scientific journal, peer-reviewed
Sager, P. J., Meyer, B., Yan, P., von Wartburg-Kottler, R., Etaiwi, L., Enayati, A., Nobel, G., Abdulkadir, A., Grewe, B. F., & Stadelmann, T. (2026). A comprehensive survey of agents for computer use : foundations, challenges, and future directions. Journal of Artificial Intelligence Research, 85(34). https://doi.org/10.1613/jair.1.19490
Written conference contributions, peer-reviewed
- Meyer, B., Sager, P., Abdulkadir, A., Grewe, B. F., Schuetz, P., Stadelmann, T., & Burn, F. (2025). Hounsfield unit ranges as inductive bias for intra-clinical learning of data-efficient CT segmentation models [Conference paper]. 2025 IEEE Swiss Conference on Data Science (SDS), 1–7. https://doi.org/10.1109/SDS66131.2025.00008
- Lanfant, B., Lack, S., Meyer, B., Abdulkadir, A., Stadelmann, T., & Schmid, D. (2025). 3D-master-based method for optimizing the cost calculation of PBF-LB/M manufactured parts [Conference paper]. BHM Berg- Und Hüttenmännische Monatshefte, 170(3), 158–171. https://doi.org/10.1007/s00501-025-01563-y
- Meyer, B., Stadelmann, T., & Lüthi, M. (2024). ScalaGrad : a statically typed automatic differentiation library for safer data science [Conference paper]. 2024 11th IEEE Swiss Conference on Data Science (SDS), 229–232. https://doi.org/10.1109/SDS60720.2024.00040
Oral conference contributions and abstracts
Lanfant, B., Lack, S., Meyer, B., Abdulkadir, A., Stadelmann, T., & Schmid, D. (2024, September 17). 3D-master-based method for optimizing the cost calculation of PBF-LB/M manufactured parts. Metal Additive Manufacturing Conference (MAMC), Aachen, Germany, 17-19 September 2024.