Research activities School of Engineering
The latest publications and projects from the School of Engineering.
Publications
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Gkikopoulos, Panagiotis; Schiavoni, Valerio; Spillner, Josef,
2021.
Analysis and improvement of heterogeneous hardware support in Docker images [paper].
In:
Distributed Applications and Interoperable Systems.
21st International Conference on Distributed Applications and Interoperable Systems (DAIS), Valletta, Malta (online), 14-18 June 2021.
Cham:
Springer.
pp. 125-142.
Lecture Notes in Computer Science ; 12718.
Available from: https://doi.org/10.1007/978-3-030-78198-9_9
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Knapp, Evelyne; Battaglia, Mattia; Stadelmann, Thilo; Jenatsch, Sandra; Ruhstaller, Beat,
2021.
XGBoost trained on synthetic data to extract material parameters of organic semiconductors [paper].
In:
Proceedings of the 8th SDS.
8th Swiss Conference on Data Science, Lucerne, Switzerland, 9 June 2021.
IEEE.
pp. 46-51.
Available from: https://doi.org/10.1109/SDS51136.2021.00015
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Ebadi Garjan, Firouzeh; Yang, Bowen; Kim, YeonJu; Mohammadpour, Raheleh; Taghavinia, Nima; Hagfeldt, Anders; Tress, Wolfgang,
2021.
Journal of Materials Chemistry A.
9(24), pp. 13967-13978.
Available from: https://doi.org/10.1039/D1TA02878B
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Porambage, Pawani; Gür, Gürkan; Moya Osorio, Diana Pamela; Livanage, Madhusanka; Ylianttila, Mika,
2021.
6G security challenges and potential solutions [paper].
In:
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit).
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), online, 8 - 11 June 2021.
IEEE.
pp. 622-627.
Available from: https://doi.org/10.1109/EuCNC/6GSummit51104.2021.9482609
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Christopoulou, Maria; Soussi, Wissem; Xilouris, George; Gür, Gürkan; Montes de Oca, Edgardo; Koumaras, Harilaos; Stiller, Burkhard,
2021.
AI-enabled slice protection exploiting moving target defense in 6G networks [paper].
In:
2021 Joint European Conference on Networks and Communications & 6G Summit (EuCNC/6G Summit), virtual, 8-11 June 2021.
ZHAW Zürcher Hochschule für Angewandte Wissenschaften.
Available from: https://doi.org/10.21256/zhaw-22969
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)