Pouly Marc HSLU I

Prof. Dr. Marc Pouly Marc Pouly

Lecturer

Pouly Marc HSLU I

Lucerne School of Computer Science and Information Technology

Room 7.56
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Research

Lecturer

Co-Head Algorithmic Business Research Lab

+41 41 757 68 25

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Biography

 

Education

  • University Teaching Certificate
  • PhD in Artificial Intelligence
  • Master of Science in Computer Science / Mathematics

Professional Activities

  • [since 2023] Scientific Advisor, Artificialy SA, Lugano
  • [since 2021] Member of the Executive Board and Chief Data Scientist
    Jaywalker AG and Jaywalker Digital AG, Lucerne
  • [since 2020] Lecturer for Machine Learning in Marketing
    University of Lucerne
  • [since 2018] Business Consultant
    Private mandates
  • [since 2018] Professional Speaker
    speakers.ch, Zurich
  • [since 2015] Member of the Board of Directors and Partner
    Jaywalker Digital AG, Lucerne
  • [since 2016] Co-Head Algorithmic Business Research Lab
    Lucerne University of Applied Sciences
  • [since 2013] Professor for Artificial Intelligence
    Lucerne University of Applied Sciences
  • [2016 – 2021] Head of Master’s Program in Engineering
    Lucerne University of Applied Sciences
  • [2011 – 2013] Lecturer for Artificial Intelligence
    Lucerne University of Applied Sciences
  • [2010 – 2011] Research Associate
    Centre for Security, Reliability and Trust, University of Luxembourg
  • [2009 – 2010] Swiss National Science Foundation Postdoc
    Cork Constraint Computation Center, University College Cork
  • [2004 – 2009] Research Assistant
    Department of Informatics, University of Fribourg
Professional competencies
  • Artificial Intelligence for Industrial Optimization
  • Machine Learning & Deep Learning
  • AI & Data Strategy
  • Recommender Systems & E-Commerce Algorithms
  • Bild- und Textanalyse mit Machine Learning

Projects

Service projects

  • Care4Cardio

Research projects

  • Strategic Collaboration with Prepress Media AG
  • Recommender Systems for Food, Recipes and Kitchen Supplies
  • HSLU Medtech Joint Venture
  • Counteracting Data Scarcity in MedTech
  • Eventfrog Recommender Technologies
  • A Machine-Learning Approach to Small-Hotel Revenue-Management
  • Museum Exposition on Food & Artificial Intelligence
  • Stakeholder-orientiertes Reporting für Institutionen mit sozialem Auftrag
  • Methodenwettbewerb Kartell-Screening
  • Methodenwettbewerb Kartell-Screening
  • Churn Prediction and Recommender Systems for Telecom Industry
  • Umgang mit Geld
  • Transparenz im Temporary Housing Markt
  • Auswirkungen hybride Vorlesungsformate
  • AI Ice Cream
  • Recommender Systems for Event Industry
  • IAC
  • Betty Bossi Zutaten-Thesaurus und Rezeptgenerator
  • Artificial Yodel
  • Tariff analysis for ELCOM
  • Optimierung Offertwesen
  • B2B Recommender System
  • Smart Energies - Energiemanagement der Zukunft
  • Textbasierte Recommender Systeme
  • Customer forecast with cross-industry data
  • Bewertungs-Tool für die Web-Recherche
  • NLP Model and Embedding Toolchain
  • Sicherheit digitaler Coupons
  • Erkennung von Handekzemen mit Machine Learning
  • 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
  • Automated Milk Analysis
  • 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
  • Stucard Recommender System
  • Automatisierte Filterung von Benutzer-Kommentaren
  • Preference-Based Medtech
  • Preference-Based Medtech
  • JassBot: Ein intelligentes Jass Programm
  • Preference-based E-Commerce and Enhanced User Profile Generator
  • SkinApp-Web: Harnessing Training Data from the Crowd
  • Objektive Messung der Handhygiene mit Machine Learning
  • Matching von Suchanfragen auf Experten-Profile
  • FAST
  • Skin-App
  • Advanced Software for Operations
  • Information Flow & Preferences

Publications and presentations

Publications and presentations - Book/catalogue

  • 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.

Publications and presentations - Article, review; peer reviewed

  • 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.
  • 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.

Publications and presentations - Article, review; not peer reviewed

  • 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.

Publications and presentations - Report/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.

Publications and presentations - Other publication formats

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

Publications and presentations - Presentation (conference/report/lectures)

  • 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.

Achievements - Awards and honours

  • 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.

Achievements - Other 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. 6. 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.