PhD in Deep Learning
University of Münster
Advisor: Prof. Dr. Fabian Gieseke · Machine Learning and Data Engineering Group
MLSS Melbourne 2026
Machine Learning Summer School, organized by Maincode
Sven Ligensa
PhD Researcher @ MLDE group at University of Münster
Working on Explainable AI to make powerful Deep Learning models more transparent.
Papers & Projects
Efficient Vision Attention Mechanisms for Dense Prediction
Master Thesis
Combining Deep Feature Extraction with Locality-Sensitive Hashing for Reverse Image Search
Bachelor Thesis
Education
MSc in Information Systems Grade: 1.0 (GPA 4.0/4.0)
University of Münster
Specialization in Data Science (ML, DL, Big Data, Data Management) and Computer Science
Semester Abroad, Erasmus+
Universidad Politécnica de Madrid
BSc in Information Systems Grade: 1.1 (GPA 3.8/4.0)
University of Münster
Awards & Scholarships
Work
Research Associate
University of Münster · Machine Learning and Data Engineering Group
Conducting research on Explainable AI.
Student Research Assistant
University of Münster · MLDE Group
Co-authored and proofread papers, implemented models, created teaching materials.
Data Scientist Intern
CLAAS E-Systems GmbH
- Developed a pipeline combining geospatial data with internal machine data.
- Trained regression models on machine data using PySpark to reduce sensor costs.
- Contributed a classification model and dataset to the internal AI toolkit.
Teaching @ University of Münster
Optimizing Electricity Trading
Project Seminar
Supportive
GeoAI Platforms
Project Seminar
Supportive
Computer Structures and Operating Systems
Lecture
Supportive
Mining Massive Datasets
Lecture
Supportive
Data Structures and Algorithms
Lecture
Supportive
Data Structures and Algorithms
Tutorial
Supportive
Data Structures and Algorithms
Tutorial
Supportive
Data Structures and Algorithms
Tutorial
Supportive