Gröger Fabian HSLU I

Fabian Gröger Fabian Gröger

Research Associate Doctoral Student

Gröger Fabian HSLU I

Lucerne School of Computer Science and Information Technology

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


Degree Programs

Research Associate Doctoral Student

+41 41 349 30 71

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Biography

Responsibilities

  • Scientific Collaborator at the Algorithmic Business (ABIZ) Research Lab
  • Lecturer in the CAS Machine Learning

Experience

  • Data Scientist, Jaywalker Digital
  • Research Assistant at the Algorithmic Business (ABIZ) Research Lab
  • Teaching Assistant for the Advanced Machine Learning Module in the AIML Bachelor Program
  • Teaching Assistant for the Bachelor in Artificial Intelligence & Machine Learning
  • Trainee in Robotic Process Automation, Schindler Group
  • Full-Stack developer, ADMIA Solutions GmbH
  • IT Apprentice, PRtools GmbH

Education

  • ongoing PhD in Biomedical Engineering, University of Basel
  • Master of Science in Engineering (MSE), Data Science / Machine Learning, Lucerne University of Applied Sciences
  • Bachelor of Science in Computer Science, Lucerne University of Applied Sciences
Professional competencies
  • Machine Learning & Deep Learning
  • Time Series and Audio Data
  • Self-Supervised Learning
Teaching and research focus
  • Data Science
  • Machine Learning & Deep Learning

Projects

Research projects

  • Strategic Collaboration with Prepress Media AG
  • A Machine-Learning Approach to Small-Hotel Revenue-Management
  • Museum Exposition on Food & Artificial Intelligence
  • PollenFace - Face recognition for bioaerosol particle identification
  • Umgang mit Geld
  • Transparenz im Temporary Housing Markt
  • ITC – Generierte AR-Soundscapes
  • AI Ice Cream
  • IAC
  • Artificial Yodel
  • Erkennung von Handekzemen mit Machine Learning

Publications and presentations

Publications and presentations - Article, review; peer reviewed

  • 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

Publications and presentations - Article, review; not peer reviewed

  • Pouly, Marc; Mazumder, Sita & Gröger, Fabian (2021). Künstliche Intelligenz für KMUs. Unternehmerzeitung, 18-19.

Publications and presentations - Report/working paper

  • Gröger, Fabian (2022). Self-Supervised Pre-Training for Texture Segmentation and Diagnosis in Dermatology (Bericht).
  • Gröger, Fabian (2021). Detecting Prejudice and Bias in Hotel Reviews (Bericht).

Publications and presentations - Theses (Bachelor/Master/Dissertation/Habilitation)

  • Gröger, Fabian (2023). Self-Supervised Pre-Training for Digital Dermatology & Data-Centric Approach to Medical Imaging (nicht veröffentlichte Master-/Lizentiats-/Diplomarbeit). Lucerne University of Applied Sciences and Arts, Rotkreuz, Switzerland.