Pfäffli Daniel HSLU I

Daniel Pfäffli Daniel Pfäffli

Highly Specialised Senior Research Associate

Pfäffli Daniel HSLU I

Lucerne School of Computer Science and Information Technology

Room 7.47
Campus Zug-Rotkreuz
Suurstoffi 1
6343 Rotkreuz


Research

Highly Specialised Senior Research Associate

+41 41 757 68 28

Show email

Biography

Aus- und Weiterbildung

  • Master of Science Hochschule Luzern/FHZ in Engineering, Fachgebiet Information and Communication Technologies
  • BSc Berner Fachhochschule/ BFH in Informatik mit Vertiefung in Computer Perception and Virtual Reality
  • Technische Berufsmatura, BMS Bern
  • Gewerblich-Industrielle Berufsschule Bern

 

Berufliche Stationen

  • [seit 2019] Hochspezialisierter Senior Wiss. Mitarbeiter Hochschule Luzern - Informatik
  • [seit 2021] Leiter Forschung & Entwicklung, Jaywalker Digital AG
  • [2018 -2021] Data Scientist, Jaywalker Digital AG
  • [2019 - 2019] Senior Wiss. Mitarbeiter Hochschule Luzern - Informatik
  • [2018 - 2019] Wiss. Mitarbeiter Hochschule Luzern - Informatik
  • [2015 - 2018] Wiss. Assistent Hochschule Luzern - Technik & Architektur
  • [2012 - 2015]Software Architekt, Glaux Soft AG, Bern
  • [2006 - 2012] Projektleitung, Glaux Soft AG, Bern

 

Professional competencies
  • Machine Learning / Deep Learning
  • Time Series Analysis
  • Data Analytics
  • Software Architecture Design
  • Programming and Software Engineering
  • Project management, project leader

Projects

Research projects

  • A Machine-Learning Approach to Small-Hotel Revenue-Management
  • A Machine-Learning Approach to Small-Hotel Revenue-Management
  • Sicherungsmassnahmen Roothuus Gonten
  • Onset-Detection von Schlagzeugklängen in komplexen Schallsignalen
  • Umgang mit Geld
  • Generated AR Soundscapes (Pre-Project)
  • BGE Digital Pathfinder
  • ITC – Generierte AR-Soundscapes
  • Artificial Yodel
  • Tariff analysis for ELCOM
  • Smart-Meter-Daten besser nutzen dank maschinellem Lernen
  • ITC - Mantelprojekt Big Data HSLU Cloud
  • Besucherprognosen für Freizeit- und Tourismus mit branchenübergreifenden Daten
  • Customer forecast with cross-industry data
  • ITC Digitale Schädlingsbekämpfung
  • Sicherheit digitaler Coupons
  • Deep Neural Yodeling
  • Notice to Airmen
  • Kurzfristige Prognose und Steuerung des Gästeaufkommens im Freizeit- und Tourismusmarkt
  • Automated Milk Analysis
  • Preference-Based Medtech
  • Predictive Modeling für Blutwertanalyse
  • Preference-based E-Commerce and Enhanced User Profile Generator

Publications and presentations - Article, review; peer reviewed

  • 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
  • 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
  • Pfäffli, Daniel; Kammermann, Andrea; Pouly, Marc & vor der Brück, Tim (2018). Deep Neural Yodeling. FTAL CONFERENCE 2018 - INDUSTRIAL APPLIED DATA SCIENCE, 1.

Publications and presentations - Report/working paper

  • Pfäffli, Daniel (2017). Non-linear Regression for short-term Passenger Volume Prediction (Bericht).

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

  • Pfäffli, Daniel (2018). Deep Neural Yodelling (nicht veröffentlichte Master-/Lizentiats-/Diplomarbeit). Lucerne University of Applied Sciences and Arts, Departement Information Technology, Switzerland.

Achievements - Awards and honours

  • Pfäffli, Daniel (13.07.2018). Roche Diploma Award 2018 für Award for the best master's thesis in the field of Information Technology..

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.