Research activities School of Engineering
The latest publications and projects from the School of Engineering.
Publications
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Dettling, Marcel; Walser, Manuel; Frey, Martin,
2021.
Impact of mislabelling on deep learning.
In:
ISI 2021 : 63rd World Statistics Congress, virtual, 11-16 july 2021.
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Scherrer, Maike; Hollenstein, Lukas; Stadler, Michael; Heim, Edgar,
2021.
Towards a symbiotic mutualism through external supply chain integration [paper].
In:
Proceedings of the 28th EurOMA Conference.
EurOMA 2021 : Managing the “new normal”: the future of Operations and Supply Chain Management in unprecedented times, Berlin, Germany (online), 5-7 July 2021.
European Operations Management Association.
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Doege, Patrick; Scherrer, Maike,
2021.
In:
Proceedings of the 28th EurOMA Conference.
EurOMA 2021 : Managing the “new normal”: the future of Operations and Supply Chain Management in unprecedented times, Berlin, Germany (online), 5-7 July 2021.
European Operations Management Association.
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2021.
A lower bound for sequentially placing boxes at the moving assembly line to minimize walking time [paper].
In:
IWDSP 2021 : The Third International Workshop on Dynamic Scheduling Problems, Poznań (Poland), 5-7 July 2021.
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Sima, Ana Claudia; Mendes de Farias, Tarcisio; Anisimova, Maria; Dessimoz, Christophe; Robinson-Rechavi, Marc; Zbinden, Erich; Stockinger, Kurt,
2021.
Bio-SODA : enabling natural language question answering over knowledge graphs without training data [paper].
In:
Proceedings of the 33rd SSDBM.
International Conference on Scientific and Statistical Database Management (SSDBM), Online, 6-7 July 2021.
ACM.
Available from: https://doi.org/10.21256/zhaw-22738
Projects
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Good practices for responsible development of AI-based applications in healthcare
This project will identify proven methods, practices and standards that support responsible research and development of AI systems for health. They will be tested in use cases from medical imaging and neurotechnology, publicly released and published as a guideline of recommended best practices. ...
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Machine Learning Enhanced Process Simulation in Laser Powder Bed Fusion (LPBF)
The project aims to develop and implement dedicated calibration procedures and parts that are tailored to critical applications of ABB and Sauber, to improve the accuracy of distortion predictions for specific components. Machine learning is then used to enhance simulations also beyond the calibrated regime. This ...
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GraphQueryML – Using Machine Learning to Optimize Queries in Graph Databases (SNSF/DFG)
Optimizing the brain of databases with machine learning: Query optimization is one of the hardest problems of database systems research. A query optimizer can be considered as the “brain” of the system that makes sure that queries are executed efficiently. Even after several decades of research, many sub-problems ...
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Machine Learning-Aided Startup Investing (MALASI)
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Raman spectroscopy for material analysis
Raman spectroscopy is a highly sensitive measurement method for non-destructive chemical analysis, which is becoming increasingly widespread in process and quality control. In the project a new modular setup will be set up for flexible experimental testing.