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Draft:Thilo Stadelmann

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Thilo Stadelmann
Stadelmann speaking in 2024
Born
Thilo Stadelmann

(1980-06-02) 2 June 1980 (age 44)
Lemgo, Germany
Alma mater
Awards
Scientific career
FieldsArtificial Intelligence
Machine Learning
Deep Learning
Pattern Recognition[1]
Institutions
ThesisVoice Modeling Methods for Automatic Speaker Recognition (2010)
Doctoral advisorBernd Freisleben
Websitewww.zhaw.ch/en/about-us/person/stdm/

Thilo Stadelmann (born 1980 in Lemgo, Germany) is a German computer scientist. He is professor for artificial intelligence and machine learning at the Zurich University of Applied Sciences, and the founding director of the Centre for Artificial Intelligence at the School of Engineering in Winterthur, Switzerland there.[3]


Life and career

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Stadelmann finished the Landgraf-Ludwigs-Gymnasium [de] in Gießen with the Abitur in 1999 and went on studying computer science at the University of Applied Sciences Mittelhessen. He finished his doctorate (Dr. rer. nat.) at the University of Marburg in 2010 with a thesis on multimedia analysis.[4]

After holding various specialist and management positions in the automotive industry, he was appointed as a senior lecturer in computer science at the ZHAW in 2013. His research focusses on pattern recognition based on deep learning methodology using a variety of use cases from business, industry and medicine.[5]

He dedicated himself to further the Swiss ecosystem around data science, digitalisation and AI,[6][7] including as a co-founder and manager in start-ups,[8] academic institutes and consortiae,[9] innovation networks and conferences,[10][11] and as a co-creator and scientific director of digitalisation initiatives.[12][13] Stadelmann is the founding director of the ZHAW Centre for Artificial Intelligence,[14] is the founder and a member of the board of directors of the start-up AlpineAI AG based in Davos, Switzerland,[15] and regularly appears as an expert, speaker and interview guest.[16][17][18][19][20][21]

Thilo Stadelmann is a fellow of the European Centre for Living Technology[22] in Venice, Italy, and a senior member of the IEEE.[23] He was been awarded the ZHAW Teaching Prize 2019[24] and the Impact Award from ZHAW digital 2022.[25] He is one of the finalists for ‘The Pascal’ as part of the Swiss Digital Economy Award 2024.[26] His research and students have received several awards. Thilo Stadelmann is married and has a son.

Research (selection)

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On automatic speaker recognition:

  • Yannic Lukic, Carlo Vogt, Oliver Dürr, and Thilo Stadelmann: „Speaker identification and clustering using convolutional neural networks“. IEEE 26th International Workshop on Machine Learning for Signal Processing, 2016, doi:10.1109/MLSP.2016.7738816.
  • Thilo Stadelmann and Bern Freisleben: „Unfolding speaker clustering potential: A biomimetic approach“. 17th ACM international conference on Multimedia, p. 185–194, 2009, doi:10.1145/1631272.1631300.

On pattern recognition with use cases for example in industry and medicine:

  • Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi, Melanie Geiger, Stefan Lörwald, Benjamin Bruno Meier, Katharina Rombach, and Lukas Tuggener: „Deep learning in the wild“. 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, 2018, doi:10.1007/978-3-319-99978-4_2.
  • Lukas Tuggener, Mohammadreza Amirian, Katharina Rombach, Stefan Lörwald, Anastasia Varlet, Christian Westermann, and Thilo Stadelmann: „Automated machine learning in practice: State of the art and recent results“. 6th Swiss Conference on Data Science, p. 31–36, 2019, doi:10.1109/SDS.2019.00-11.
  • Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley, Matthias Rosenthal, Gerrit A. Schatte, Benjamin Friedrich Grewe, and Thilo Stadelmann: „A comprehensive survey of deep transfer learning for anomaly detection in industrial time series: Methods, applications, and directions“. IEEE Access, 2024, doi:10.1109/ACCESS.2023.3349132.
  • Mohammadreza Amirian, Javier Montoya‐Zegarra, Ivo Herzig, Peter Eggenberger Hotz, Lukas Lichtensteiger, Marco Morf, Alexander Züst, Pascal Paysan, Igor Peterlik, Stefan Scheib, Rudolf Marcel Füchslin, Thilo Stadelmann, and Frank‐Peter Schilling: „Mitigation of motion‐induced artifacts in cone beam computed tomography using deep convolutional neural networks“. Medical Physics 50 (10), 2023, doi:10.1002/mp.16405.
  • Pascal Sager, Sebastian Salzmann, Felice Burn, and Thilo Stadelmann: „Unsupervised domain adaptation for vertebrae detection and identification in 3D CT volumes using a domain sanity loss“. Journal of Imaging 8 (8), MDPI, 2022, doi:10.3390/jimaging8080222.

On document recognition:

  • Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, and Thilo Stadelmann: „DeepScores - A dataset for segmentation, detection and classification of tiny objects“. 24th International Conference on Pattern Recognition, p. 3704–3709, 2018, doi:10.1109/ICPR.2018.8545307.
  • Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, and Thilo Stadelmann: „Deep watershed detector for music object recognition“. 19th International Society for Music Information Retrieval Conference, 2018, "ISMIR Proceedings" (PDF). Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  • Benjamin Bruno Meier, Thilo Stadelmann, Jan Stampfli, Marek Arnold, and Mark Cieliebak: „Fully convolutional neural networks for newspaper article segmentation“. 14th IAPR International Conference on Document Analysis and Recognition, 2017, doi:10.1109/ICDAR.2017.75.

On trustworthiness, didactics and social aspects of AI:

  • Samuel Wehrli, Corinna Hertweck, Mohammadreza Amirian, Stefan Glüge, and Thilo Stadelmann: „Bias, awareness, and ignorance in deep-learning-based face recognition“. AI and Ethics 2 (3), p. 509–522, Springer, 2022, doi:10.1007/s43681-021-00108-6.
  • Mohammadreza Amirian, Friedhelm Schwenker, and Thilo Stadelmann: „Trace and detect adversarial attacks on CNNs using feature response maps“. 8th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, 2018, doi:10.1007/978-3-319-99978-4_27.
  • Jan Segessenmann, Thilo Stadelmann, Andrew Davison, and Oliver Dürr: „Assessing deep learning: A work program for the humanities in the age of artificial intelligence“. AI and Ethics, Springer, 2023,doi:10.1007/s43681-023-00408-z.
  • Thilo Stadelmann, Julian Keuzenkamp, Helmut Grabner, and Christoph Würsch: „The AI-Atlas: Didactics for teaching AI and machine learning on-site, online, and hybrid“. Education Sciences 11 (7), p. 318, MDPI, 2021, doi:10.3390/educsci11070318.

On data science and applications:

  • Martin Braschler, Thilo Stadelmann, and Kurt Stockinger (Ed.): „Applied data science: Lessons learned for the data-driven business“. Springer International Publishing, 2019, doi:10.1007/978-3-030-11821-1.
  • Thilo Stadelmann, Tino Klamt, and Philipp Hans Merkt: „Data centrism and the core of Data Science as a scientific discipline“. Archives of Data Science, Series A 8 (2), KIT Scientific Publishing, 2022, doi:10.5445/IR/1000143637.
  • Thilo Stadelmann: „Wie maschinelles Lernen den Markt verändert“. In: Reinhard Haupt and Stephan Schmitz (Ed.): „Digitalisierung: Datenhype mit Werteverlust?“, SCM Hänssler, 2019, ISBN 978-3-7751-6040-7.

References

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  1. ^ "Google Scholar profile Thilo Stadelmann". Google Scholar. Retrieved 2024-10-16.{{cite web}}: CS1 maint: url-status (link)
  2. ^ "LinkedIn profile Thilo Stadelmann". LinkedIn. Retrieved 2024-10-16.{{cite web}}: CS1 maint: url-status (link)
  3. ^ "Prof. Thilo Stadelmann , Dr. rer. nat". Retrieved 2024-10-15.{{cite web}}: CS1 maint: url-status (link)
  4. ^ "Voice Modeling Methods for Automatic Speaker Recognition". University Library of the University of Marburg. Retrieved 2024-10-15.{{cite web}}: CS1 maint: url-status (link)
  5. ^ "Machine Perception and Cognition Group". ZHAW Centre for Artificial Intelligence. Retrieved 2024-10-15.{{cite web}}: CS1 maint: url-status (link)
  6. ^ "A list of academic leaders in the field of Data Science in Switzerland". Sandro Saitta on LinkedIn. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  7. ^ Barbara Gassler: Brillante KI-Zukunft. In: Davoser Zeitung. Friday, January 27, 2023, p. 5.
  8. ^ "So will AlpineAI mit SwissGPT gegen ChatGPT & Co. antreten" (in Swiss High German). Netzwoche. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  9. ^ Martin Braschler, Thilo Stadelmann and Kurt Stockinger: Preface. In: Applied Data Science - Lessons Learned for the Data-Driven Business. Springer, ISBN 978-3-030-11820-4, 2019.
  10. ^ "About us". Data Innovation Alliance. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  11. ^ "A tribute "Festschrift" to the 10th SDS Anniversary" (PDF). Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  12. ^ Thilo Stadelmann, Christoph Weckerle, Maria Olivares, Roberto Sala, Harald Gall, and Leslie Spiegel. "Konzept zum Innovationsprogramm" (PDF) (in Swiss High German). Digitalisierungsinitiative der Zürcher Hochschulen (DIZH). Retrieved 2024-10-01.{{cite web}}: CS1 maint: multiple names: authors list (link) CS1 maint: url-status (link)
  13. ^ "ZHAW digital feiert fünfjähriges Bestehen" (in Swiss High German). DIZH Insights. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  14. ^ "Das enorme Potenzial der künstlichen Intelligenz" (in Swiss High German). Der Landbote. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  15. ^ "Schweizer Startup Alpine AI lanciert Swiss GPT für Firmen" (in Swiss High German). Handelszeitung. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  16. ^ ""Den Terminator gibt es nicht"" (in Swiss High German). htr hotelrevue. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  17. ^ "Kongress Christlicher Führungskräfte erhält Top-Bewertungen" (in Swiss High German). idea. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  18. ^ "Krempelt künstliche Intelligenz die Wirtschaft um?" (in Swiss High German). SRF 10vor10. Retrieved 2024-10-01.
  19. ^ "Experten halten Aufbau neuer KI-Modelle "für eine aktive Geldvernichtung": Das macht die Schweiz besser" (in Swiss High German). NZZ am Sonntag. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  20. ^ "Bei KI steht die Schweiz auf der Bremse – Kritiker machen Druck" (in Swiss High German). 20 Minuten. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  21. ^ "AI expert Prof. Dr. Thilo Stadelmann and the hype surrounding Artificial Intelligence". Premium Speakers Magazin. Retrieved 2024-10-15.{{cite web}}: CS1 maint: url-status (link)
  22. ^ "People". ECLT. Retrieved 2024-10-16.{{cite web}}: CS1 maint: url-status (link)
  23. ^ "Thilo Stadelmann". IEEE Xplore. Retrieved 2024-10-16.{{cite web}}: CS1 maint: url-status (link)
  24. ^ "3. Platz ZHAW-Lehrpreis 2019: Thilo Stadelmann" (in Swiss High German). YouTube, ZHAW Hochschule für Angewandte Wissenschaften. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
  25. ^ "Thilo Stadelmann receives Fellowship and Impact Award". ZHAW Centre for Artificial Intelligence News. Retrieved 2024-10-15.{{cite web}}: CS1 maint: url-status (link)
  26. ^ "Pascal-Award 2024: Thilo Stadelmann im Porträt" (in Swiss High German). Inside-IT. Retrieved 2024-10-01.{{cite web}}: CS1 maint: url-status (link)
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