Wullschleger Pascal HSLU I

Pascal Wullschleger Pascal Wullschleger

Research Associate

Wullschleger Pascal HSLU I

Lucerne School of Computer Science and Information Technology

Room 7. Stock, shared
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Research

Research Associate

+41 41 349 30 53

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Biography

Experience

  • Research Associate, Lucerne University of Applied Sciences (2022 - present)
  • Research Assistant, Lucerne University of Applied Sciences (2019 - 2022)
  • Data Scientist, Jaywalker Digital (2021 - present)
  • Software Developer, Siemens Building Technologies
  • IT System Specialist, ALSO Schweiz AG
  • IT Apprentice, ALSO Schweiz AG

Education

  • Master of Science in Computer Science, Lucerne University of Applied Sciences
  • Bachelor of Science in Computer Science, Lucerne University of Applied Sciences
Professional competencies
  • Machine Learning / Deep Learning
  • Development of Marketing Information Systems
  • Linux
  • Reinforcement Learning
  • Recommender Systems
Teaching and research focus
  • Data Science
  • Machine Learning / Deep Learning

Projects

Research projects

  • STUcard & STU Recommender Systems
  • Strategic Collaboration with Prepress Media AG
  • Recommender Systems for Food, Recipes and Kitchen Supplies
  • Eventfrog Recommender Technologies
  • A Machine-Learning Approach to Small-Hotel Revenue-Management
  • MAM : Machine-managed Air Mobility in Swiss Upper Airspace
  • AI Supported MultiTouch for Range Images
  • Umgang mit Geld
  • AI Ice Cream
  • Recommender Systems for Event Industry
  • IAC
  • Betty Bossi Zutaten-Thesaurus und Rezeptgenerator
  • Profil des Fintech Markts Schweiz und Liechtenstein
  • Optimierung Offertwesen
  • B2B Recommender System
  • Smart-Meter-Daten besser nutzen dank maschinellem Lernen
  • ITC - Mantelprojekt Big Data HSLU Cloud
  • Textbasierte Recommender Systeme
  • Software Skizzieren - Agile Modeling
  • NLP Model and Embedding Toolchain
  • Erkennung von Handekzemen mit Machine Learning
  • Sicherheit digitaler Coupons
  • Machine Learning Challenges of your Industry
  • Datenauswertung bei der EnAW
  • Notice to Airmen
  • Deep Neural Yodeling
  • 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
  • Automatisierte Antwort- und Matchingassistentin für implizite und explizite, wissensbasierte Fragen
  • Winkelvermessung für Spurhalter mittels Bildverarbeitung
  • Preference-Based Medtech
  • Predictive Modeling für Blutwertanalyse

Publications and presentations

    • Wullschleger, Pascal; Lionetti, Simone; Daly, Donnacha; Volpe, Francesca & Caro, Grégoire (2022). Auto-Regressive Self-Attention Models for Diagnosis Prediction on Electronic Health Records. Proceedings of the 2022 IEEE International Conference on Big Data, 1.

    • Graf, Elias; Lionetti, Simone; Niederberger, Erny; Salzmann, Joel; Wullschleger, Pascal & Zeder, Yanick (03.09.2021). Airborne spore measurements based on UV-induced fluorescence and digital holography from SwisensPoleno Jupiter. European Aerosol Conference 2021, Online.

Publications and presentations - Article, review; peer reviewed

  • Wullschleger, Pascal; Lionetti, Simone; Daly, Donnacha; Volpe, Francesca & Caro, Grégoire (2022). Auto-Regressive Self-Attention Models for Diagnosis Prediction on Electronic Health Records. Proceedings of the 2022 IEEE International Conference on Big Data, 1.

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

  • Graf, Elias; Lionetti, Simone; Niederberger, Erny; Salzmann, Joel; Wullschleger, Pascal & Zeder, Yanick (03.09.2021). Airborne spore measurements based on UV-induced fluorescence and digital holography from SwisensPoleno Jupiter. European Aerosol Conference 2021, Online.

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. ABIZ Team Achievement. Hochschule Luzern - Informatik.