Dissertation Awards

Dissertation Award from the Faculty of Science in the Field of Computer Science
Dr. Christian Fröhlich – Imprecise Probabilities in Machine Learning: Structure and Semantics

Summa cum laude
Dr. Maximilian Dax – Probabilistic Machine Learning for Real-Time Gravitational-Wave Inference
Dr. Michael Deistler – Machine learning for inference in Biophysical Neuroscience Simulations
Dr. Daria Evseeva – Mobile Genetic Elements and Recombination in Microbial Interactions and Disease Emergence
Dr. Anupam Gautam – Advancing Microbial and Metagenomic Analysis through Computational Tools and Integrated Data Systems
Dr. Vladimir Guzov – Recovering 3D Human Motion in Scenes from Wearable Sensors
Dr. Maria Heitmeier – Mappings in the Discriminative Lexicon Model
Dr. Simon Heumos – Computational methods for pangenomics and multiomics integration
Dr. Janne Lappalainen – From Connectome to Computation: Predicting Neural Function with Machine Learning
Dr. Jörn Price – Aerial Robot Formations for Dynamic Environment Perception
Dr. Shashank Tripathi – Physics-Informed Modeling of Dynamic Humans and their Interactions
Dr. Roland Zimmermann – Understanding Machine Perception: How Do Neural Networks Represent the World?

Wilhelm Schickard Dissertation Award
Dr. Leena Chennuru Vankadara – Towards a Theory of Learning under Extreme Non-identifiability: Through the lens of causal learning and kernel clustering

Honorable Mention
Dr. Athina Gavriilidou – Evolutionary investigation of bacterial biosynthetic gene clusters at multiple scales
Dr. Christian Gumbsch – Learning Event-Based Temporal Abstractions for Hierarchical Prediction and Planning
Dr. Denis Hirn – New Compilation Methods for Complex User-Defined Functions
Dr. Zhijing Jin – Causality for Natural Language Processing
Dr. Marilyn Justine Keller – Beyond the Surface: Statistical Approaches to Internal Anatomy Prediction
Dr. Maximilian Pfister – Algorithms and Combinatorics for Beyond Planar Graphs
Dr. Maximilian Johannes Seitzer – On Structured Object Representations: Benefits for Autonomous Agents and Real-World Discovery
Dr. Omid Taheri – Modeling Dynamic 3D Human-Object Interactions: From Capture to Synthesis
Dr. Frederik Joshua Träuble – Learning to Generalize Across Distribution Shifts
Dr. Marin Vlastelica Pogančić – Structured, Constrained and Creative Learning
Dr. Václav Voráček – Certified Adversarial Robustness With Domain Constraints

Wilhelm Schickard Dissertation Award
Dr. Francesco Croce – Evaluating and Improving the Robustness of Image Classifiers against Adversarial Attacks

Honorable Mention
Dr. Martina Contisciani – Probabilistic Generative Models for Inference on Complex Systems
Dr. Hadeer Elsayed – Method Development for Large-Scale Prediction and Modeling of Protein-Protein Interactions
Dr. Luigi Gresele – Learning Identifiable Representations: Independent Influences and Multiple Views
Dr. Steffen Philipp Lindner – Advances for Resilient Real-Time Networks using Network Softwarization
Dr. Lea Müller – Self- and Interpersonal Contact in 3D Human Mesh Reconstruction
Dr. Michael Niemeyer – Neural Scene Representations for 3D Reconstruction and Generative Modeling