Stefan Oehmcke

Assistant Professor

Research Interests

Machine learning for spatio-temporal data, Earth observation, sustainability, and maritime applications

Work Experience

Tenure-Track Assistant Professor, University of Rostock, Institute for Visual and Analytic Computing, Germany
10-2024 – Present
Chair of ‘Visual and Analytic Computing in Ocean Technologies’

Assistant Professor, University of Copenhagen, Department of Computer Science, Denmark
12-2023 – Present (secondary employment) Global Wetland Center (Novo Nordisk Foundation)

Assistant Professor, University of Copenhagen, Department of Computer Science, Denmark
12-2022 – 11-2023
Project: PerformLCA; Teaching in Data Science Lab

PostDoc, University of Copenhagen, Department of Computer Science, Denmark
12-2020 – 11-2022
Projects: FirePrev, DeReEco, Monitoring Changes in Big Satellite Data via Massively-Parallel Artificial Intelligence (DFF 9131-00110B)

PostDoc, University of Copenhagen, Department of Computer Science, Denmark
12-2018 – 11-2020
Projects: IDAS and VELUX reading data analysis

PostDoc, University of Oldenburg, Computational Intelligence Lab, Germany
01-2018 – 12-2018
Focus on deep learning methods for time series and image data

Teaching Experience

University of Rostock

• Data Science Course (starting 10.2025): Lectures on Data Science and ML foundations
• Deep Learning for Maritime Vision Applications (starting 10.2025): Seminar and lectures introducing deep learning

University of Copenhagen

• Machine Learning and Imaging Projects (2022-2025): Individual supervision in ML project
• Machine Learning for Science (MLS) (2022-2024): Interdisciplinary course teaching ML basics
• Introduction to Python (2023): Intensive course for non-computer scientists
• Artificial Intelligence (2021): Lectures and exercises on recurrent neural networks
• Large Scale Data Analysis (2020): Lectures and exercises on RNNs and data preparation
• Deep Learning Workshop at CSU (2019): Lecture on RNNs for industry participants

University of Oldenburg

• Artificial Intelligence (2018): Lectures and exercises on evolutionary algorithms and ML
• Data Mining For Maritime Applications (2015): Organized and graded seminar projects
• Computational Intelligence I & II (2014–2018): Grading oral exams as 2nd examiner
• Operating Systems I (2016): Taught tutorials and graded assignments
• Programming Course Java (2010–2011): Taught tutorials and graded assignments

Education

• Dr. rer. nat. in Computer Science (Summa Cum Laude), University of Oldenburg (2014 – 2018)
• M.Sc. in Computer Science, University of Oldenburg (2012 – 2014)
• B.Sc. in Computer Science, University of Oldenburg (2009 – 2012)

Awards & Scholarships

• 2016: Travel Grant, IEEE WCCI
• 2015: Best Presentation, KI 2015
• 2014-2017: Ph.D. Scholarship, SAMS

Committees & Service

• since 08.2025: Journal Editor, Künstliche Intelligenz (KUIN)
• 2022: Workshop Organizer, Pioneer Centre for AI
• 2019: Editorial Manager, Künstliche Intelligenz (KUIN)
• 2019: Program-Committee Member, ICANN