معرفی
Stefan Lüdtke is an Assistant Professor (Juniorprofessor) for Marine Data Science at the University of Rostock (since July 2023) and concurrently serves as a junior research group leader at ScaDS.AI Leipzig. Previously, he was a postdoctoral researcher at the Institute for Enterprise Systems, University of Mannheim (2021-2023) and completed his PhD at the University of Rostock (2016-2021).
Education & Career Timeline:
- 2023 – present: Juniorprofessor (Assistant Professor) for Marine Data Science, University of Rostock
- 2023 – present: Junior research group leader, ScaDS.AI Leipzig
- 2021 – 2023: Postdoc, Institute for Enterprise Systems, University of Mannheim
- 2016 – 2021: PhD studies, University of Rostock
Research Interests:
Dr. Lüdtke’s research integrates neuro-symbolic machine learning with practical applications spanning heterogeneous tabular data, marine ecology, and underwater technology. His work bridges symbolic reasoning and modern gradient-based learning to tackle complex real-world problems such as hyperspectral imaging for environmental monitoring, knowledge-graph completion, and robust human-activity recognition.
Key focus areas include:
- Design of memory-augmented decision-tree ensembles and gradient-based tree learning.
- Data-centric evaluation and quality assessment of machine-learning models on tabular and sensor data.
- Domain adaptation and self-training techniques for activity recognition in changing environments.
- Application of AI to marine robotics and glacier-dynamics mapping.
Publication Trends:
Across 40+ peer-reviewed works (2017-2025), Lüdtke demonstrates a steady shift from foundational probabilistic-filtering and lifted-inference methods toward cutting-edge neural-symbolic hybrids and tabular-data-centric learning. Recent high-impact venues show contributions in machine-learning theory, computer vision, and environmental informatics, with a notable uptick in interdisciplinary projects combining AI and marine science.
Scientific Awards & Honors:
No specific awards are listed in the provided material.
Advising & Funding:
No named students or explicit grant details are disclosed in the text.
Laboratories & Teams:
He leads the Marine Data Science junior research group at the University of Rostock and the ScaDS.AI Leipzig junior research group, fostering cross-institutional collaboration in AI and data science.
