Pouly Marc HSLU I

Prof. Dr. Marc Pouly Marc Pouly

Co-Head Applied AI Research Lab

Pouly Marc HSLU I

Hochschule Luzern – Informatik

Raum 7.73
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Forschung

Co-Head Applied AI Research Lab

Professor

+41 41 757 68 25

E-Mail anzeigen

Biografie

 

Aus- und Weiterbildung:

  • Zertifikatskurs Hochschuldidaktik
  • PhD in Künstlicher Intelligenz
  • Master of Science in Informatik / Mathematik

Berufliche Tätigkeiten:

  • [seit 2024] Co-Head Applied Artificial Intelligence Research Lab, Hochschule Luzern
  • [seit 2023] Scientific Advisor, AlpineAI AG, Davos
  • [seit 2023] Scientific Advisor, Artificialy SA, Lugano
  • [seit 2021] Mitglied der Geschäftsleitung, Jaywalker AG und Jaywalker Digital AG
  • [seit 2020] Lehrbeauftragter für Machine Learning in Marketing, Universität Luzern
  • [seit 2019] AI & Data Strategy Consultant
  • [seit 2018] Professional Speaker, www.speakers.ch
  • [seit 2015] Chief Data Scientist, Partner & VR, Jaywalker Digital AG, Luzern
  • [seit 2013] Professor für Künstliche Intelligenz, Hochschule Luzern
  • [2016 - 2024] Co-Head Algorithmic Business Research Lab, Hochschule Luzern
  • [2016 - 2021] Studiengangleiter Master of Science in Engineering, Hochschule Luzern
  • [2011 - 2013] Dozent für Künstliche Intelligenz, Hochschule Luzern
  • [2010 - 2011] Research Associate, Universität Luxembourg
  • [2009 - 2010] Forschungsaufenthalt am Cork Constraint Computation Centre, Irland
  • [2004 - 2009] Assistent für theoretische Informatik, Universität Fribourg (CH)
Berufliche Kompetenzen
  • Künstliche Intelligenz zur industriellen Optimierung
  • Machine Learning & Deep Learning
  • AI & Data Strategy
  • Recommender Systeme & E-Commerce Algorithmik
  • Bild- und Textanalyse mit Machine Learning

Projekte

Dienstleistungsprojekte

  • Care4Cardio

Forschungsprojekte

  • MoneyHaxx: KI basierte Finanzbildung
  • Strategische Kollaboration mit Prepress Media AG
  • Machine Learning for Financial Advisory
  • Fake Review Detection Model Evaluation
  • STUcard & STU Recommender Systeme
  • RUEFER: Revolutionary Unsupervised Engine for Football Event Reporting
  • Recommender Systeme für Nahrungsmittel, Rezepte und Küchenzubehör
  • HSLU Medtech Joint Venture
  • Bekämpfung der Datenknappheit in der Medizintechnik
  • Body Region Classifier for Teledermatology
  • derecAI
  • Eventfrog Recommender Technologien
  • A Machine-Learning Approach to Small-Hotel Revenue-Management
  • Stakeholder-orientiertes Reporting für Institutionen mit sozialem Auftrag
  • Museumsexponat zu Food & Artificial Intelligence
  • Methodenwettbewerb Kartell-Screening
  • Methodenwettbewerb Kartell-Screening
  • Abwanderungsvorhersage und Recommender Systeme für Telecom Branche
  • Umgang mit Geld
  • Transparenz im Temporary Housing Markt
  • Auswirkungen hybride Vorlesungsformate
  • AI Ice Cream
  • Recommender Systeme für die Eventbranche
  • IAC
  • Betty Bossi Zutaten-Thesaurus und Rezeptgenerator
  • Artificial Yodel
  • Tarifanalyse für ELCOM
  • Optimierung Offertwesen
  • B2B Recommender System
  • Smart Energies - Energiemanagement der Zukunft
  • Textbasierte Recommender Systeme
  • Besucherprognosen mit Branchen-übergreifenden Daten
  • Bewertungs-Tool für die Web-Recherche
  • Sicherheit digitaler Coupons
  • Erkennung von Handekzemen mit Machine Learning
  • NLP Model und Embedding Toolchain
  • Datenauswertung bei der EnAW
  • Notice to Airmen
  • Deep Neural Yodeling
  • Kurzfristige Prognose und Steuerung des Gästeaufkommens im Freizeit- und Tourismusmarkt
  • Kurzfristige Prognose und Steuerung des Gästeaufkommens im Freizeit- und Tourismusmarkt
  • Automatische Milchanalyse
  • Büroflächen intelligent suchen
  • Skin-App: Medical Severity Grading of Hand Eczema by Automated Image Analysis
  • Unterstützung und Optimierung von Design- und Produktionsprozessen durch Künstliche Intelligenz
  • Automatisierte Filterung von Benutzer-Kommentaren
  • Preference-Based Medtech
  • JassBot: Ein intelligentes Jass Programm
  • Objektive Messung der Handhygiene mit Machine Learning
  • Preference-based E-Commerce and Enhanced User Profile Generator
  • SkinAppWeb: Crowd-Platform zur Gewinnung von Machine Learning Trainingsdaten
  • Matching von Suchanfragen auf Experten-Profile
  • FAST
  • Skin-App
  • Advanced Software for Operations
  • Information Flow & Preferences

Publikationen und Präsentationen

Publikationen und Präsentationen - Buch/Katalog

  • Navarini, Alexander; Pouly, Marc & Tschandl, Philipp (Hrsg.). (2022). Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence for Healthcare. -: SciTePress.
  • Pouly, Marc & Kuhn, Kevin (2019). Recommender Systems: Mit Künstlicher Intelligenz zu mehr Umsatz, dank besserer Empfehlungen. Luzern: E-Book.
  • Pouly, Marc & Kohlas, Jürg (2011). Generic Inference: A unifying Theory for Automated Reasoning. Hoboken, NY: Wiley Publishing.

Publikationen und Präsentationen - Artikel, Rezension; peer reviewed

  • Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Andriambololoniaina, Herizo; Amruthalingam, Ludovic; Rakotoarisaona, Mendrika; Gonzales-Jimenez, Alvaro; Lionetti, Simone; Ng, Wingston; Hsu, Christophe; Kessy, Agnes; Pouly, Marc; Mavura, Daudi; Faith, Dingase; Traoré, Ibrahima; Rapelanoro, Rabenja & Navarini, Alexander (2024). PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa. Proceedings of the 27th International Conference on Medical Image Computing and Computer Assisted Intervention,
  • Gonzales-Jimenez, Alvaro; Lionetti, Simone; Bazazian, Dena; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Navarini, Alexander & Pouly, Marc (2024). Hyperbolic Metric Learning for Visual Outlier Detection. Proceedings of Beyond Euclidean Workshop: Hyperbolic and Hyperspherical Learning for Computer Vision, ECCV’24: European Conference on Computer Vision 2024,
  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzales-Jimenez, Alvaro; Amruthalingam, Ludovic; Groh, Matthew; Navarini, Alexander & Pouly, Marc (2024). Intrinsic Self-Supervision for Data Quality Audits. NeurIPS’24: Proceedings of the 38th Annual Conference on Neural Information Processing Systems,
  • Amruthalingam, Ludovic; Mang, Nora; Gottfrois, Philippe Léon-Marius; Gonzalez-Jimenez, Alvaro; Maul, Julia-Tatjana; Kunz, Michael; Pouly, Marc & Navarini, Alexander (2023). Objective Hand Eczema Severity Assessment with Automated Lesion Anatomical Stratification. Experimental Dermatology, 2023, 1. doi: 10.1111/exd.14744
  • Bravin, Marc; Clegg, Melanie; Hofstetter, Reto; Pouly, Marc & Berger, Jonah (2023). Trend Following: How Content Prototypicality Drives Liking on TikTok. Proceedings of the European Marketing Academy Conference (EMAC), 1.
  • Gonzales-Jimenez, Alvaro; Lionetti, Simone; Pouly, Marc & Navarini, Alexander (2023). SANO: Score-based Diffusion Model for Anomaly Localization in Dermatology. Proceedings of CVPR 2023 Workshop on Visual Anomaly and Novelty Detection, 1.
  • Emmenegger, Solange; Egli, Matthias & Pouly, Marc (2023). Mastering Fencing Techniques with Machine Learning: A Video-Based Classification and Correction System. Proceedings of the 10th Swiss Data Science Conference, 1.
  • Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Pouly, Marc & Navarini, Alexander (2023). Robust T-Loss for Medical Image Segmentation. MICCAI'23: Proceedings of the 26thInternational Conference on Medical Image Computing and Computer Assisted Intervention,
  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzales-Jimenez, Alvaro; Groh, Matthew; Daneshjou, Roxana; Consortium, Labelling; Navarini, Alexander & Pouly, Marc (2023). Towards Reliable Dermatology Evaluation Benchmarks. Proceedings of the Machine Learning for Health conference, 2023,
  • vor der Brück, Tim & Pouly, Marc (2023). Estimating Text Similarity based on Semantic Concept Embeddings. IARIA'23: Proceedings of the Annual Congress on Frontiers in Science, Technology, Services, and Applications,
  • Berger, Jonah; Clegg, Melanie; Hofstetter, Reto & Pouly, Marc (2023). Trend Following: How Content Prototypicality Drives Liking on TikTok. Proceedings of the European Marketing Conference,
  • Bravin, Marc; Clegg, Melanie; Hofstetter, Reto; Pouly, Marc & Berger, Jonah (2022). Does it help to be creative on Social Media? A Machine Learning Approach to examine Originality of user-generated Content from TikTok. AMA Winter Academic Conference, 33, 96-99.
  • Gröger, Fabian; Pouly, Marc; Tinner, Flavia & Brandes, Leif (2022). Assessing Guest Nationality Composition from Hotel Reviews. Proceedings of the 9th Swiss Data Science Conference, 1.
  • Gröger, Fabian; Gottfrois, Philippe Léon-Marius; Amruthalingam, Ludovic; Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Navarini, Alexander & Pouly, Marc (2022). Towards Reducing The Need For Annotations In Digital Dermatology With Self-supervised Learning. ECAI’22: European Conference on Artificial Intelligence, Proceedings of Workshop 31: Scarce Data in Artificial Intelligence for Healthcare, 11-16. doi: 10.5220/0000164800003523
  • Gonzalez-Jimenez, Alvaro; Lionetti, Simone; Amruthalingam, Ludovic; Gottfrois, Philippe Léon-Marius; Pouly, Marc & Navarini, Alexander (2022). SANO: Score-based Anomaly Localization for Dermatology. ECAI’22: European Conference on Artificial Intelligence, Proceedings of Workshop 31: Scarce Data in Artificial Intelligence for Healthcare, 53-58. doi: 10.5220/0000164800003523
  • Bravin, Marc; Clegg, Melanie; Hofstetter, Reto; Pouly, Marc & Berger, Jonah (2022). Does It Help to Be Creative on Social Media? A Machine Learning Approach to Examine Originality of Video Content from TikTok. Proceedings of the European Marketing Academy Conference (EMAC), 1.
  • Amruthalingam, Ludovic; Gökduman, Bulus; Gonzalez-Jimenez, Alvaro; Gottfrois, Philippe Léon-Marius; Koller, Thomas; Kunz, Michael; Navarini, Alexander & Pouly, Marc (2022). Improved Diagnosis by Automated Macro- and Micro-anatomical Region Mapping of Skin Photographs. Journal of European Academy of Dermatology Venereology, 2022, 10. doi: 10.1111/jdv.18476
  • Amruthalingam, Ludovic; Buerzle, Oliver; Gonzalez Jimenez, Alvaro; Gottfrois, Philippe Léon-Marius; Koller, Thomas; Navarini, Alexander; Pouly, Marc & Roth, Anastasia (2022). Quantification of Efflorescences in Pustular Psoriasis using Deep Learning. Healthcare Informatics Research, 2022(Volume 28(3)), 222-230. doi: 10.4258/hir.2022.28.3.222
  • Berger, Jonah; Bravin, Marc; Clegg, Melanie; Hofstetter, Reto & Pouly, Marc (2022). Does It Help to Be Creative on Social Media? The Value of Originality for User-Generated Content on Social Media. Proceedings of the Society of Consumer Psychology Conference, 1.
  • Berger, Jonah; Bravin, Marc; Clegg, Melanie; Hofstetter, Reto & Pouly, Marc (2022). Should You Really be Creative on Social Media? A Machine Learning Approach to Examine Originality of Video Content from TikTok. Proceedings of Association of Consumer Research Conference, 1.
  • Koehler, Jana; Bürgler, Josef; Fontana, Urs; Fux, Etienne; Herzog, Florian; Pouly, Marc; Saller, Sophia; Salyaeva, Anastasia; Scheiblechner, Peter & Waelti, Kai (15.06.2021). Cable Tree Wiring - Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints. Springer Constraints, 2021, 1-51. doi: https://doi.org/10.1007/s10601-021-09321-w
  • Bravin, Marc; Clegg, Melanie; Hofstetter, Reto; Pouly, Marc & Berger, Jonah (2021). Should You Really be Creative on Social Media? An Empirical Investigation of Video Content from TikTok. Proceedings of Association of Consumer Research Conference, 1.
  • Lionetti, Simone; Pfäffli, Daniel; Pouly, Marc; vor der Brück, Tim & Wegelin, Philipp (2021). Tourism Forecast with Weather, Event, and Cross-Industry Data. Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 1097-1104. doi: 10.5220/0010323010971104
  • Bravin, Marc; Pfäffli, Daniel; Kuhn, Kevin & Pouly, Marc (2021). Towards Crafting Beer with Artificial Intelligence. Proceedings of the 8th Swiss Data Science Conference, 54-55. doi: https://doi.org/10.1109/SDS51136.2021.00017
  • Clegg, Melanie; Hofstetter, Reto; Pouly, Marc & Bravin, Marc (2021). Should You Really be Creative on Social Media? An Empirical Investigation of User-Generated Content from TikTok. Proceedings of the European Marketing Academy Conference (EMAC), 94524.
  • Bravin, Marc; Pfäffli, Daniel; Mazumder, Sita & Pouly, Marc (2020). Automated Smartification of Notices to Airmen. Proceedings to Swiss Data Science Conference, 2020(Proceedings of the 7th Swiss Data Science Conference), 51-52. doi: 10.1109/SDS49233.2020.00018
  • Pouly, Marc; Koller, Thomas; Gottfrois, Philippe Léon-Marius & Lionetti, Simone (2020). KI in der Bildanalyse – Grundlagen und neue Entwicklungen. Springer - Der Hautarzt, 2020(9), 660-668. doi: 10.1007/s00105-020-04663-7
  • Furger, Fabian; Amruthalingam, Ludovic; Navarini, Alexander & Pouly, Marc (2020). Applications of Generative Adversarial Networks to Dermatologic Imaging. Proceedings of the ANNPR’20: 9th IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition, 187-199. doi: 10.1007/978-3-030-58309-5_15
  • Pouly, Marc; Koller, Thomas & Arnold, Ruedi (2019). A Game-Centric Approach to Teaching Artificial Intelligence. Proceedings of the 11th International Conference on Computer Supported Education, 2020, 398-404. doi: 10.5220/0007745203980404
  • vor der Brück, Tim & Pouly, Marc (2019). Spectral Text Similarity Measures. Proceedings of the International Conference on Computational Linguistics and Intelligent Text Processing, 1.
  • vor der Brück, Tim & Pouly, Marc (2019). Text Similarity Estimation Based on Word Embeddings and Matrix Norms for Targeted Marketing. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019(1), 1827-1836. doi: 10.18653/v1/N19-1181
  • Pouly, Marc; Cerquides, Jesus & Roca-Lacostena, Jordi (2019). Sufficient and Necessary Conditions for Solution Finding in Valuation-Based Systems. International Journal of Approximate Reasoning, 2019(114), 51-83. doi: https://doi.org/10.1016/j.ijar.2019.08.006
  • Meienberger, Nina; Anzengruber, Florian; Amruthalingam, Ludovic; Christen, Roland; Koller, Thomas; Maul, J.; Pouly, Marc; Djamei, Vahid & Navarini, Alexander (2019). Observer-Independent Assessment of Psoriasis affected Area using Machine Learning. Journal of the European Academy of Dermatology & Venerology, 2019 / 34(6), 1362-1368. doi: 10.1111/jdv.16002
  • Pfäffli, Daniel; Kammermann, Andrea; Pouly, Marc & vor der Brück, Tim (2018). Deep Neural Yodeling. FTAL CONFERENCE 2018 - INDUSTRIAL APPLIED DATA SCIENCE, 1.
  • Koller, Thomas; Navarini, Alexander; Pouly, Marc; Schnürle, Stefan & vor der Brück, Tim (2017). On using Support Vector Machines for the Detection and Quantification of Hand Eczema. Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017, 75-84. doi: 10.5220/0006125000750084
  • Mazumder, Sita; Pouly, Marc & Radomirovic, Sasa (2017). Über die Sicherheit digitaler Coupons. Digma: Zeitschrift für Datenrecht und Informationssicherheit, 17(4), 232-236.
  • Cuennet, Laurent; Pouly, Marc & Radomirovic, Sasa (2016). Guided Specification and Analysis of a Loyalty Card System. Proceedings of the 2nd International Workshop on Graphical Models for Security, 2016(Springer LNCS 9390), 66-81. doi: https://doi.org/10.1007/978-3-319-29968-6_5
  • Galli, Michael; Schnürle, Stefan; Arnold, Ruedi & Pouly, Marc (2016). Skyline Computation on Commercial Data. Proceedings of the 8th International Conference on Agents and Artificial Intelligence, 2016, 465-471. doi: 10.5220/0005766604650471
  • Kordy, Barbara; Pouly, Marc & Schweitzer, Patrick (2016). Probabilistic Reasoning with Graphical Security Models. Information Sciences, 2016(Volume 342), 111-131. doi: 10.1016/j.ins.2016.01.010
  • Suter, Christoph; Navarini, Alexander; Pouly, Marc; Arnold, Ruedi; Gutzwiller Florian S., Meier; Koller, Thomas & Meier, René (2014). Detection and Quantification of Hand Eczema by Visible Spectrum Skin Pattern Analysis. Frontiers in Artificial Intelligence and Applications, 2014(Frontiers in Artificial Intelligence and Applications, Volume 263: ECAI 2014), 1101-1102. doi: 10.3233/978-1-61499-419-0-1101
  • Kordy, Barbara; Pouly, Marc & Schweitzer, Patrick (2014). A Probabilistic Framework for Security Scenarios with Dependent Actions. iFM'14: Proceedings of the 11th International Conference on Integrated Formal Methods, 2014(Integrated Formal Methods, Lecture Notes in Computer Science), 256-271.
  • Pouly, Marc; Kohlas, Jürg & Ryan, Peter (2013). Generalized Information Theory for Hints. International Journal of Approximate Reasoning, 2013(Volume 54, Issue 1), 228-251. doi: 10.1016/j.ijar.2012.08.004
  • Kordy, Barbara; Pouly, Marc & Schweitzer, Patrick (2011). Computational Aspects of Attack-Defense Trees. SIIS'11 Proceedings of the 2011 International Conference on Security and Intelligent Information Systems, 103-116.

Publikationen und Präsentationen - Artikel, Rezension; not peer reviewed

  • Gröger, Fabian; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gonzalez-Jimenez, Alvaro; Amruthalingam, Ludovic; Consortium, Labelling; Groh, Matthew; Navarini, Alexander & Pouly, Marc (2023). SelfClean: A Self-Supervised Data Cleaning Strategy. arXiv,
  • Pouly, Marc; Mazumder, Sita & Gröger, Fabian (2021). Künstliche Intelligenz für KMUs. Unternehmerzeitung, 18-19.
  • Pouly, Marc & Lionetti, Simone (2021). Eine Kürzestgeschichte des Deep Learnings. Bulletin des Schweizerischen Verbands der Telekommunikation, 1.
  • Bravin, Marc; Mazumder, Sita & Pouly, Marc (13.11.2020). In der Zukunft kommt der Arztbericht von der KI. Die Welt, 1.
  • Bravin, Marc; Mazumder, Sita & Pouly, Marc (13.11.2020). In der Zukunft kommt der Arztbericht von der KI. Die Welt online, 1.
  • Bravin, Marc; Mazumder, Sita & Pouly, Marc (30.10.2020). i-Dötzchen Computer: Auch Kochrezepte helfen dabei, Rechnersystemen das Schreiben anzutrainieren. Die Welt, 16-16.
  • Pouly, Marc (13.10.2017). Online Marketing mit Machine Learning und Natural Language Processing. audimax Medien, 33.
  • Mazumder, Sita & Pouly, Marc (01.06.2017). New Age Money Machine - Digitale Treueprogramme. Handelszeitung, (22), 43.

Publikationen und Präsentationen - Bericht/Working Paper

  • Furger, Fabian; Amruthalingam, Ludovic; Navarini, Alexander & Pouly, Marc (2020). Applications of Generative Adversarial Networks to Dermatologic Imaging (Bericht).
  • Koehler, Jana; Bürgler, Josef; Fontana, Urs; Fux, Etienne; Herzog, Florian; Pouly, Marc; Saller, Sophia; Salyaeva, Anastasia; Scheiblechner, Peter & Waelti, Kai (2020). Cable Tree Wiring - Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints (Bericht).
  • Pouly, Marc & Koehler, Jana (2017). A Modeling and Encoding Method for Relative Layout Generation and Optimization in Manufacturing (Technical Report No. 1/2017). Lucerne University of Applied Sciences and Arts, Lucerne.

Publikationen und Präsentationen - Sonstige Publikationsformate

  • Emmenegger, Solange; Egli, Matthias & Pouly, Marc (2023). Annotated Video Dataset of Fencing Movements and Corresponding Error Patterns.

Publikationen und Präsentationen - Präsentation (Tagungsbeitrag/Referat/Vortrag)

  • Koehler, Jana; Bürgler, Josef; Fontana, Urs; Fux, Etienne; Herzog, Florian; Pouly, Marc; Saller, Sophia; Salyaeva, Anastasia; Scheiblechner, Peter & Waelti, Kai (05.07.2021). Cable Tree Wiring - Benchmarking Solvers on a Real-World Scheduling Problem with a Variety of Precedence Constraints. 18th International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, Vienna.
  • vor der Brück, Tim; Pouly, Marc & Unternährer, Markus (10.06.2017). Targeted Marketing Using Unsupervised Language Processing. SwissText, Winterthur, Schweiz.
  • Pouly, Marc; Galli, Michael; Christen, Roland & Schnürle, Stefan (12.11.2015). Skyline Computation on Commercial Data. SGAICO 2015: Hot Topics in Cognitive Science & Artificial Intelligence, Geneva, Switzerland.

bedeutende Leistung

bedeutende Leistung - Preise und Ehrungen

  • Pouly, Marc & vor der Brück, Tim (17.11.2023). Best Paper Award für Best Paper at IARIA 2023.
  • Jimenez, Alvaro Gonzales; Lionetti, Simone; Gottfrois, Philippe Léon-Marius; Gröger, Fabian; Pouly, Marc & Navarini, Alexander (12.10.2023). Best Paper Award für Best Paper at MICCAI 2023.
  • Pouly, Marc; Egli, Matthias & Emmenegger, Solange (23.06.2023). Best Poster Video Award für Award for Best Poster Video issued by Swiss Data Science Conference 2023.
  • Bravin, Marc; Clegg, Melanie; Hofstetter, Reto; Pouly, Marc & Berger, Jonah (20.02.2022). Best Paper in Track at AMA Winter Academic Conference für Best Paper in Big Data, Analytics, AI & Machine Learning Track.
  • Hofstetter, Jörg; Koller, Thomas; Pouly, Marc; Schnürle, Stefan & vor der Brück, Tim (26.10.2017). aha! Award des Allergiezentrums Schweiz 2017 für SkinApp – Digitale Sicht zur Schweregrad-Messung für Ekzempatienten.

bedeutende Leistung - Andere Achievements

  • Arnold, Ruedi; Bürli, Andrin; Birbaumer, Mirko; Bravin, Marc; Daly, Donnacha; Kakooee, Reza; Koller, Thomas; Lionetti, Simone; Mazumder, Sita; Mérinat, Tobias; Pfäffli, Daniel; Pouly, Marc; Salzmann, Joel & Wullschleger, Pascal. Member of the Team that crafted the first Beer along an AI generated Recipe. ABIZ Team Achievement. Hochschule Luzern - Informatik.
  • Birbaumer, Mirko; Bravin, Marc; Mazumder, Sita; Mérinat, Tobias; Pfäffli, Daniel; Pouly, Marc; Salzmann, Joel & Ulmi, Cyrille. Pizzaiolo Crash Course. ABIZ Social Event. Richemont Luzern.
  • Arnold, Ruedi; Christen, Roland; Hofstetter, Jörg; Koller, Thomas; Mazumder, Sita; Pfäffli, Daniel; Pouly, Marc; Schnürle, Stefan & vor der Brück, Tim. ABIZ Jodelkurs. Forschungsprojekt: Deep Neural Yodeling. Algorithmic Business Research Team.