Daly Donnacha HSLU I

Prof. Dr. Donnacha Daly Donnacha Daly - I💗AI

Head of the Bachelor's Program in Artificial Intelligence & Machine Learning

Daly Donnacha HSLU I

Lucerne School of Computer Science and Information Technology

Room 8.31
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Degree Programs

Head of the Bachelor's Program in Artificial Intelligence & Machine Learning

Lecturer

+41 41 228 24 78

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Biography

Currently

Professor of Artificial Intelligence at HSLU

Head of Studies in AI & Machine Learning at HSLU

Co-Founder of The Applied AI Center at HSLU

Co-Founder and Chairman at Gopf AG

Co-Founder and Board Member at LAC2 AI-Hub Luzern

Projects

Research projects

  • Regulatory Consequences for Asset Managers
  • AI Supported MultiTouch for Range Images
  • BGE Digital Pathfinder
  • IAC
  • ITC - Mantelprojekt Big Data HSLU Cloud
  • Optimierung Offertwesen
  • B2B Recommender System
  • Smart-Meter-Daten besser nutzen dank maschinellem Lernen
  • Artificial Yodel
  • Tariff analysis for ELCOM
  • Profil des Fintech Markts Schweiz und Liechtenstein
  • Textbasierte Recommender Systeme
  • Software Skizzieren - Agile Modeling
  • Customer forecast with cross-industry data
  • Erkennung von Handekzemen mit Machine Learning
  • Sicherheit digitaler Coupons
  • NLP Model and Embedding Toolchain
  • Machine Learning Challenges of your Industry
  • Datenauswertung bei der EnAW
  • Notice to Airmen
  • Skin-App: Medical Severity Grading of Hand Eczema by Automated Image Analysis
  • Winkelvermessung für Spurhalter mittels Bildverarbeitung
  • Preference-Based Medtech

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.

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.

Achievements

    • Arnold, Ruedi; Birbaumer, Mirko; Bravin, Marc; Bürli, Andrin; 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.

Achievements - Other achievements

  • Arnold, Ruedi; Birbaumer, Mirko; Bravin, Marc; Bürli, Andrin; 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.