Publications
Researchers from 14 institutes and centres are working with industry and institutional partners to develop innovative, scientifically based solutions. This research work is documented in a number of scientific publications.
ZHAW digitalcollection
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Liebhart, Daniel,
2024.
Netzwoche.
2024(10), pp. 45.
Available from: https://doi.org/10.21256/zhaw-33406
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Stucki, Simon; Ackermann, Philipp,
2024.
Physically-based path tracer using WebGPU and OpenPBR[paper].
In:
Proceedings of the 29th International ACM Conference on 3D Web Technology.
29th International Conference on 3D Web Technology (Web3D), Guimarães, Portugal, 25-27 September 2024.
Association for Computing Machinery.
pp. 4.
Available from: https://doi.org/10.21256/zhaw-31381
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O‘Donnell, Terence; Malik, Ammar; Obusevs, Artjoms; Schmitz, Philipp; Ninad, Nayeem,
2024.
In:
Research Infrastructure Automation Workshop, Roskilde, Denmark, 24-25 September 2024.
Zenodo.
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Kazmi, Jawad; Obusevs, Artjoms; Heussen, Kai; Hashimoto, Jun; Strasser, Thomas; Jahn, Robert,
2024.
In:
Research Infrastructure Automation Workshop, Roskilde, Denmark, 24-25 September 2024.
Zenodo.
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Aeberhard, Urs; Natsch, Nelly; Schneider, Andrin; Zeder, Simon Jérôme; Carrillo‐Nuñez, Hamilton; Blülle, Balthasar; Ruhstaller, Beat,
2024.
Solar RRL.
8(21), pp. 2400492.
Available from: https://doi.org/10.21256/zhaw-36883
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Bolt, Peter; Ziebart, Volker; Jaeger, Christian; Schmid, Nicolas; Stadelmann, Thilo; Füchslin, Rudolf Marcel,
2024.
A simulation study on energy optimization in building control with reinforcement learning[paper].
In:
Suen, Ching Yee; Krzyzak, Adam; Ravanelli, Mirco; Trentin, Edmondo; Subakan, Cem; Nobile, Nicola, eds.,
Artificial Neural Networks in Pattern Recognition.
11th IAPR TC3 Workshop on Artificial Neural Networks for Pattern Recognition (ANNPR), Montreal, Canada, 10-12 October 2024.
Cham:
Springer.
Available from: https://doi.org/10.21256/zhaw-31129
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Yan, Peng; Abdulkadir, Ahmed; Aguzzi, Giulia; Schatte, Gerrit A.; Grewe, Benjamin F.; Stadelmann, Thilo,
2024.
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 138-145.
Available from: https://doi.org/10.21256/zhaw-30430
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Ramirez Gonzalez, Miguel; Segundo Sevilla, Felix Rafael; Korba, Petr; Castellanos, Rafael,
2024.
Grid-forming converter-interfaced generation for dynamic support of the BCS power grid[paper].
In:
2024 IEEE Kansas Power and Energy Conference (KPEC).
IEEE Kansas Power and Energy Conference (KPEC), Manhattan, Kansas, USA, 25-26 April 2024.
IEEE.
Available from: https://doi.org/10.21256/zhaw-31445
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Hertweck, Corinna; Loi, Michele; Heitz, Christoph,
2024.
Group fairness refocused : assessing the social impact of ML systems[paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 189-196.
Available from: https://doi.org/10.21256/zhaw-32017
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Billeter, Yann; Denzel, Philipp; Chavarriaga, Ricardo; Forster, Oliver; Schilling, Frank-Peter; Brunner, Stefan; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Weng, Joanna,
2024.
MLOps as enabler of trustworthy AI[paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 37-40.
Available from: https://doi.org/10.21256/zhaw-30443
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Meyer, Benjamin; Stadelmann, Thilo; Lüthi, Marcel,
2024.
ScalaGrad : a statically typed automatic differentiation library for safer data science[paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 229-232.
Available from: https://doi.org/10.21256/zhaw-30408
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Tuggener, Lukas; Sager, Pascal; Taoudi-Benchekroun, Yassine; Grewe, Benjamin F.; Stadelmann, Thilo,
2024.
So you want your private LLM at home? A survey and benchmark of methods for efficient GPTs[paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 205-212.
Available from: https://doi.org/10.21256/zhaw-30279
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Denzel, Philipp; Brunner, Stefan; Billeter, Yann; Forster, Oliver; Frischknecht-Gruber, Carmen; Reif, Monika Ulrike; Schilling, Frank-Peter; Weng, Joanna; Chavarriaga, Ricardo; Amini, Amin; Repetto, Marco; Iranfar, Arman,
2024.
Towards the certification of AI-based systems[paper].
In:
2024 11th IEEE Swiss Conference on Data Science (SDS).
11th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 30-31 May 2024.
IEEE.
pp. 84-91.
Available from: https://doi.org/10.21256/zhaw-30439
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Lanfant, Briac; Lack, Silvan; Meyer, Benjamin; Abdulkadir, Ahmed; Stadelmann, Thilo; Schmid, Daniel,
2024.
3D-master-based method for optimizing the cost calculation of PBF-LB/M manufactured parts.
In:
Metal Additive Manufacturing Conference (MAMC), Aachen, Germany, 17-19 September 2024.
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Bünzli, Fabienne; Weber, Wibke; Abdullahu, Fitim; Grabner, Helmut,
2024.
Journal of Advertising.
Available from: https://doi.org/10.21256/zhaw-31424
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Bajrami, Dardan; Hammer, Tobias; Spano, Fabrizio; Wei, Kongchang; Bonmarin, Mathias; Rossi, René,
2024.
A 3D printed bio-hybrid optical skin model for light-skin interactions[poster].
In:
8th China-Europa Symposium on Biomaterials in Regenerative Medicien (CESB), Nuremberg, Germany, 15-18 September 2024.
Winterthur:
ZHAW Zurich University of Applied Sciences.
Available from: https://doi.org/10.21256/zhaw-31464
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Erland, Sveinung; Bachmat, Eitan; Steiner, Albert,
2024.
European Journal of Operational Research.
317(3), pp. 748-761.
Available from: https://doi.org/10.21256/zhaw-27184
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Lee, Chae‐Won; Kim, Chaeyoon; Yoon, Woojin; Yun, Hoseop; Jazbinsek, Mojca; Rotermund, Fabian; Kwon, O‐Pil,
2024.
Organic THz crystals based on off‐diagonal optical nonlinearity with optimal in‐plane polar axis.
Advanced Optical Materials.
12(33), pp. 2401590.
Available from: https://doi.org/10.21256/zhaw-32577
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Schmid, Nicolas; Wanner, Marc; Fischetti, Giulia; Meshkian, Mohsen; Bruderer, Simon; Henrici, Andreas; Wegner, Jan Dirk; Sigel, Roland K.O.; Heitmann, Björn; Wilhelm, Dirk,
2024.
Automated spin system analysis in NMR spectroscopy with SpinDETR : a deep learning approach[poster].
In:
Datalab-Symposium, Winterthur, Schweiz, 12. September 2024.
Winterthur:
ZHAW Zurich University of Applied Sciences.
Available from: https://doi.org/10.21256/zhaw-31443
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Tu, Kunkun; Zhang, Zhidong; Dreimol, Christopher H.; Günther, Roman; Zboray, Robert; Keplinger, Tobias; Burgert, Ingo; Ding, Yong,
2024.
Autonomous humidity regulation by MOF/wood composites.
Materials Horizons.
11(22), pp. 5786-5797.
Available from: https://doi.org/10.21256/zhaw-37167