| 2025 | Suhaib Saeed Nasreldin Saeed | Development of an Intelligent System for Recognizing Sudanese License Plates Using Artificial Intelligence for Parking Management |
| Tim Keno Bischoff | Adaptive soundtrack generation based on video game states | |
| Ari Wahl | Vision-Language Model for Human Robot Interaction Object Position Detection with Monocular Robot Arm Camera | |
| Christian Tesch | Acquisition and Labeling System of Multimodal Data for Neuroscience in the Everyday World | |
| Leon Ostermann | Machine Learning Approaches based on Multivariate Sensor Signals from Production Machines in the Automotive Industry | |
| Erik Lang | Analyse und Optimierung von Fehlermeldungen in SCADA-Systemen bei ENERTRAG mittels Machine Learning | |
| Maryam Mohebi | Empirical Comparison of Tabular Synthetic Data Generation Methods for Electronic Health Records | |
| Shifa Masood | A Comprehensive Review of Machine Learning Techniques for Predicting Human Falls | |
| 2024 | Polina Kozyr | TinyML for bird song detection |
| Vipin Singh | Time Series Modeling for Urban Water Management | |
| Roman David Rehausen | Machine Learning for Bird Song Detection – A TinyML Approach | |
| Shreeja Natesh | Fashion trends: Demand forecasting in the fashion industry | |
| Matthias Jakob Kunz | Detection of generated images on Social Media Platforms | |
| Yaqoob David | Optimization and Fine-Tuning of a Domain Agnostic Repetition Counting Algorithm on Adult Content | |
| 2023 | Hoang Tuong Vy Nguyen | Machine Learning for Synthetic Satellite Images Conditional Image Generation using a Vision- Language Model |
| Jonas Kernebeck | Robustfication methods for acoustic feature extraction for assisted and automated driving | |
| Jessica Adriana Sanchez Garcia | Machine Learning towards sustainable consumption Sustainable Shopping and Semantic Search: A Comparative Study of Embedding Models and Methods | |
| Stefan Beuchert | Human-Centered Explainable AI for Question Answering Systems | |
| Sami Alexej Nenno | Claimspotting Automated Claim classification for fact-checking | |
| Alexander Flick | Machine Learning approaches towards a Green Database | |
| 2022 | Cem Kozcuer | Machine Learning for Disaster Event Classification from Social Media Images |
| Tim Bischoff | Segmentspezifisches Kalibrierungsvorgehen für Gradient Boosted Trees im vertrieblichen Kontext | |
| Roman Kondratiev | Detecting Political Bias in Social Networks With Machine Learning | |
| Fabian Henning | Deep Learning for Fashion Retail Sales Forecasting | |
| Karl Brendel | Critical service state detection in large-scale distributed networks from logs | |
| Tashin Talbot | Synthetic data generation methods for the RKI Datenspende App | |
| Alexander Schulz | Machine Learning Methods for Groundwater Level Prediction | |
| Fotoun Suliman | Web Applikation zur Prognose Energieverbrauchs öffentlicher Gebäude | |
| Daniel Kurta | A Machine Learning Based Approach for Groundwater Level Prediction | |
| Saha Saurav Kumar | Recognition and pseudonymization of personally identifying information in user generated content | |
| Benjamin Habicht | Machine Learning for Anomaly Detection in Multivariate Time Series Data | |
| 2021 | Jonas Bauer | Machine Learning in der Analyse öffentlicher Diskurse am Beispiel der Covid-19-Krise, Active-Learning-Strategien im Vergleich |
| Viktor Treu | Comparing human explanations and AI explanations - A Turing Test for Transparaency | |
| Christoph Geis-Schroer | Predictive Maintenance for Forklift Trucks | |
| Oguzhan Uyar | Predicting Formula One Races - A Pairwise Learning To Rank Approach | |
| Florian Becker | Use of Social-Media Data in an Epidemiological Context (with Robert-Koch Institute) | |
| Mahan Gasghaie | A recommender system for car configurations | |
| Bhaskar Kamble | Data driven solutions for reducing cooling costs in buildings | |
| Rupali Sharma | A Comparison of Machine Learning Methods for Data Cleaning | |
| Georg Lukas Baumgärtner | Explainable Artificial Intelligence for Computer-Aided Diagnostics of Medical Imaging Data (with Charité Berlin) | |
| Pallavi Mitra | Minimization of Computational Energy Consumption of Machine Learning Workloads using Constrained Bayesian Optimization | |
| Teodor-Constantin Chiaburu | Hierarchical Classification of Insect Species Using Wingbeat Signals | |
| 2020 | Arndt Allhorn | Transfer Learning for Hate Speech Detection |
| Arthur Gogohia | Deep Learning for Data Type Agnostic Imputation in Heterogeneous Tables | |
| Parvin Shakibaei | Data-Driven Anomaly Detection From Residential Smart Meter Data | |
| Alexander Jaenisch | Forecasting of Ticket Sales in the Education and Entertainment Sector | |
| 2019 | Jannis Alexander Busch | Advanced Natural Language Processing for Expert Recommender Systems |
| Dionysius Irza Refiano | A Quantitative Evaluation of Computer Vision Algorithm Explanations | |
| Ervin Madaha | Machine Learning for Database Optimisation | |
| Benjamin Heine | Maschinelles Lernen zur Einbruchsdetektion auf Audiodaten | |
| Philipp Jung | Robust Machine-Learning Approaches for Efficient Functional Dependency Approximation | |
| Malte Klüver | Evaluating the Accuracy of Variational Bayes in Survival Analysis | |
| Ana Maria Sandoval Jimenez | Unit Testing Datasets for Safe Database Migration | |
| Sabrina Steinert | Machine Learning Interpretability Methods for Unbiased Expert Recommender Systems | |
| Shuaib Yunus | Learning to Rank Places |
