Jun.-Prof. Dr. Sophie Fellenz
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Junior professor for machine learning at RPTU
Contact
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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
AI News
AI Events
- 19.02.2024 - 20.02.2024: Vortrag "Potenziale von künstlicher Intelligenz in öffentlichen Bibliotheken" von Jun.-Prof. Dr. Sophie Fellenz beim Workshop "Zukunft im Blick - Workshop der hauptamtlich geleiteten öffentlichen Bibliotheken in RLP" des Landesbibliothekszentrums (LBZ) in Mainz
- 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
- AICare: Artificial Intelligence for treating cancer therapy resistance
Duration: 01.04.2024 - 31.03.2030, Funding Organization: Carl-Zeiss-Stiftung - Hypo: Multifunctional high-performance components made from hybrid porous materials
Duration: 01.04.2024 - 31.03.2028, Funding Organization: DFG - Reinforcement learning for group contribution methods
Duration: 01.01.2024 - 31.12.2024, Funding Organization: Carl-Zeiss-Stiftung - 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 - ML+PM: Machine learning and physical modeling
Duration: 01.01.2020 - 31.12.2025, Funding Organization: Carl-Zeiss-Stiftung
- SeDis: Semantic Disentanglement: Distinguishing Style from Subject in Text Data
Duration: 01.06.2020 - 31.05.2024, Funding Organization: BMBF