Theses

• medical imaging

Open Applications in Medical Image Computing

Students interested in pursuing a thesis related to medical applications are welcome to contact Daniel Wulff.

• Robotics

RoboBIM-Sim: Semantically Articulated USD Environments from IFC Building Models

Automated IFC-to-USD pipeline producing physics-ready, semantically annotated simulation environments for Embodied AI.

• Graph Learning
• BIM

GNNs for BIM: Learning Relationships in IFC Models

Learning the recurring relationships between objects in valid IFC models with graph neural networks.

• Computer Vision

Scan2BIM-Data: Automated IFC Generation for Text-to-BIM

3D semantic segmentation and primitive fitting to convert point clouds into parametric IFC datasets for Text-to-BIM.

• Information Retrieval
• BIM

BIM-RAG for LLM-Based Building Design

Building a searchable database of BIM components, standards, and code documentation, and testing whether retrieval improves LLM-based BIM editing.

• marine

Deep learning-based classification of phytoplankton in imaging flow cytometry data

• Embodied AI

Spatial LLM Agents for Zero-Shot Visual Positioning

Feeding point cloud semantics directly into multimodal LLMs for abstract spatial reasoning and zero-shot routing.

• Embodied AI

Tiered Spatial Memory: Detail on Demand for Robotic Manipulation

A hierarchical object graph that generates high-fidelity geometry only when a manipulation task requires it.

• Computer Vision

Code-as-Inverse-Graphics: Benchmarking Spatial Understanding in Vision-Language Models

Benchmarking VLM spatial reasoning by tasking agents to reconstruct Blender scenes as executable bpy code from images.

• machine learning

Methods for Pseudo-Label Selection for Student-Teacher-based Domain Adaptation

Methods for selecting pseudo-labels in semi-supervised learning scenarios to improve model performance with unlabeled data.

• medical imaging

Uncertainty-Aware Stenosis Segmentation in Digital Subtraction Angiography using Probabilistic Deep Learning

Probabilistic deep learning for segmentation uncertainty in angiography.

• medical imaging

Cross-Domain Translation of Angiography: From Stenosis to Healthy Vessel Appearance

Unsupervised translation from diseased to healthy vessel appearance.

• marine

Deep learning-based age estimation of fish from otoliths

Machine learning-supported age prediction for Baltic cod from otolith microscopy images.

• microbiology

Analyzing Microbiome Metabarcoding Data with TabPFN

TabPFN for environmental DNA and metabarcoding data.

• marine

Transfer Learning from Medical Ultrasound to Marine Sonar Image Data

Transfer learning between medical ultrasound and marine sonar image data.

• marine

Analysis of harbor porpoise sounds with machine learning methods

• human activity

Developing a Semi-Supervised Transformer Model for Activity Recognition

A semi-supervised transformer model for activity recognition using labeled and unlabeled data.

• logistics

Process Mining for Human Activity Sequences in Warehouses

Process mining for sensor-based human activity sequences in warehouse environments.

• industrial AI

Detecting and localizing anomalies in thermal images of industrial components using unsupervised learning methods

• marine

A Data-Processing Framework for Time-Series Operational Vessel Data

• medical imaging

Deep learning-based analysis of hematomas in hyperspectral images

• information retrieval

Sparse Index Structures in RAG Systems: Efficient Search and Embedding Strategies for Heterogeneous Data Sets