Research activities School of Engineering
The latest publications and projects from the School of Engineering.
Publications
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Goren Huber, Lilach; Acquaviva, Michele; Pizza, Gianmarco,
2021.
Implementing AI-based innovation in industry.
In:
Live-Case-Workshop for EMBA Digital Transformation, University Zurich, 6 July 2021.
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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.
pp. 61-72.
Available from: https://doi.org/10.1145/3468791.3469119
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Antille, Yasmine; Gubler, Etienne; Gruber, Juan-Mario,
2021.
Ground speed measuring system for autonomous vehicles [paper].
In:
Gusikhin, Oleg; Nijmeijer, Henk; Madani, Kurosh, eds.,
Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics.
ICINCO 2021 : 18th International Conference on Informatics in Control, Automation and Robotics, online, 6-8 July 2021.
SciTePress.
pp. 661-668.
Available from: https://doi.org/10.5220/0010543106610668
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Carigiet, Fabian; Brabec, Christoph J.; Baumgartner, Franz,
2021.
Renewable and Sustainable Energy Reviews.
144(111005).
Available from: https://doi.org/10.1016/j.rser.2021.111005
Projects
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Automatic Data Selection for Machine Learning based Anomaly Detection
We develop and test a novel method for a fully unsupervised selection of appropriate training data for anomaly detection using machine learning methods.
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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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Investigation of the Train driver productivity and job satisfaction
The complex, internal relationship between rail schedules and staff rotation is here addressed for a complete analysis of the current performance of train drivers. The potential for performance improvement in relation to the constraints imposed by the timetable and the corresponding shift plans (e.g., use of buffer ...
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Novel high-speed, low latency distributed data link for precision measurement systems in demanding environments
SPECS Zurich GmbH provides measurement systems for scanning probe microscopy and quantum transport applications. During this project, a new plug&play-capable high- speed serial interface with ultra low latency and optical transmission shall be developed, such that it can be used in demanding environments such as ...
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Powder Recycling for PBF-LB/P
Optimization of powder preparation in 3D printing using Laser Powder Bed Fusion (PBFLB/ P)