Jun.-Prof. Dr. Sophie Fellenz

• 

  Junior professor for machine learning at RPTU

Contact

• Jun.-Prof. Dr. Sophie Fellenz University of Kaiserslautern-Landau Department of Computer Science Machine Learning Group JP Building 36, Room 325 Gottlieb-Daimler-Straße 67663 Kaiserslautern 0631 205 2635, 0631 205 3286 ml@cs.uni-kl.de
  Jun.-Prof. Dr. Sophie Fellenz fellenz@cs.uni-kl.de 0631 205 3264 Publications

Basic Research

• Probabilistic and generative models

Application related Research

• Text data, time series data, applications in chemical engineering

Activities as a Reviewer

• • BMBF
  • DAAD
  • NeurIPS
  • ICML
  • ICLR
  • AISTATS
  • AAAI
  • ECML

Received Awards, Prizes, Honors

• PRIME Research scholarship

Special Expertise

• Basic Research

  • Machine Learning (ML): Self-Supervised Learning, Reinforcement Learning (RL), Unsupervised Learning, Feature Engineering/Feature Extraction
  • Technology Analysis: Sociological Aspects, Human-AI Interaction



• Application related Research

  • Smart Assistant Systems: Virtual Assistants
  • Autonomous Systems: Bots
  • Language and Text Comprehension
  • Image Recognition and Understanding: Text Recognition
  • Technology Analysis: Sociological Aspects, Technology Assessment

AI News

• Online article on the topic of ChatGPT in teaching and learning (02.03.2023)
  

AI Events

• 13.12.2023 - 15.12.2023: Lehrerfortbildung in Informatik - Vortrag "Themen- und Sprachmodelle: Maschinelles Lernen auf Textdaten" von Jun.-Prof. Dr. Sophie Fellenz

• 19.10.2023: Impulsvortrag und Workshop zu Möglichkeiten der Nutzung Künstlicher Intelligenz im bibliothekarischen Umfeld

• 13.10.2023: Vortrag von Jun.-Prof. Sophie Fellenz zum Thema ChatGPT bei der Summer School Studium & Lehre "Von Menschen und ihren Maschinen - KI in der Hochschullehre"

• 25.05.2023: Talk on ChatGPT in the University Classroom: Opportunities, Challenges, and Best Practices by Jun.-Prof. Dr. Sophie Fellenz, Machine Learning Group, University of Kaiserslautern-Landau (RPTU)

AI Research Projects

• FOR 5359: DFG Research Group KI-FOR FOR 5359: Deep Learning on sparse chemical process data
  Duration: 01.11.2022 - 31.10.2026, Funding Organization: DFG

• TTK2C: Translation of thermodynamic knowledge to computers
  Duration: 01.01.2021 - 31.12.2024, Funding Organization: DFG