Fundamental or practice-oriented: we offer diverse and exciting topics for theses.
Are you looking for a topic for your bachelor or master thesis? Would you like to work on exciting projects during your studies?
We offer you many possibilities!
We offer thesis topics on the latest research or in cooperation with industry. The topics are:
- Applied Artificial Intelligence in Industries
- Semantic Data Management
- Industrial Natural Language Processing
- Transparent and Interpretable Artificial Intelligence
- Industrial Transfer Learning
- Sensory Time Series Data Analytics
- and much more!
Get in touch with us! You are also welcome to take the initiative: meisen[at]uni-wuppertal.de
Open Bachelor thesis
Industrial Deep Learning
- Beyond Chatbots: Literature Review on Applications of Large Language Models (PDF)
- Recreation of a Reinforcement Learning Approach for Production Planning (PDF)
- Optimierung von FEM-Simulationen mittels Graph Neural Networks (PDF)
- Real-World Data Acqusition using Industrial Robots (PDF)
Interpretable Learning Models
- Interpretability and Transparency of Vision Transformer Models (PDF)
- Semantic Pattern Mining for Interactive Data Exploration (PDF)
- Freight car loading analysis utilizing Deep Learning (PDF)
Semantic Systems Engineering
- Gemeinsame Embeddings von Text und Graphen (PDF)
- Domänenspezifische Sprachmodelle in der semantischen Modellierung (PDF)
Virtual and Augmented Reality
- Auf Abstand - Anforderungen an Personal Space in Virtual Reality (PDF)
- Authoring Doors - Erstellen von Interaktionen und Beziehungen zwischen Objekten in der VR (PDF)
- Betrachtung des Potentials von Virtual Reality als neues Lehr- und Lernmedium (PDF)
- Das Ego erforschen - Persönliche Avatare in virutellen Lernumgebungen (PDF)
- Direkt vs. Indirekt - Wann und wie man mit der virtuellen Welt interagiert (PDF)
- Durchführung einer explorativen Studie zu Determinierung diverser Parameter für Text in VR (PDF)
- Einfluss von Abstraktion in Virtual Reality auf den Lernerfolg (PDF)
- Kombination von 360° und raumbezogener VR (PDF)
- Recherche, Einordnung und Umsetzung diverser Lehr- und Lernmethoden für verschiedene Kontexte in Virtual Reality (PDF)
- Visuelle Komplexität in virtuellen Lernumgebungen (PDF)
Open Master Thesis
Digital Transformation
- Publications and Citations: The Carrot of Science (PDF)
Industrial Deep Learning
- AI Meets Industry: Literature Review on the Potential of Large Language Models in Manufacturing (PDF)
- Leveraging Monte-Carlo Search for Reinforcement Learning Based Production Scheduling (PDF)
- Interaktive Darstellung eines Roboters in Virtual Reality (PDF)
- Transfer Learning for Visual Quality Inspection based on a Normalizing-Flow-Architekture (PDF)
Interpretable Learning Models
- Interpretability and Transparency of Vision Transformer Models (PDF)
- Guided Visual Exploratory Data Analysis (PDF)
- Semantic Pattern Mining for Interactive Data Exploration (PDF)
- Deep Learning-Based Key Feature Extraction of Scanned Documents with Optical Character Recognition Algorithms (PDF)
- Freight car loading analysis utilizing Deep Learning (PDF)
Semantic Systems Engineering
- Semantische Modellierung von Open Data mittels öffentlicher Ontologien (PDF)
- Graph-Neuronale Netze zur Verbesserung der semantischen Kennzeichnung und Modellierung (PDF)
- Gemeinsame Embeddings von Text und Graphen (PDF)
- Domänenspezifische Sprachmodelle in der semantischen Modellierung (PDF)
- Circular Economy Ontologies and Vocabularies and their Evaluation Criteria (PDF)
Virtual and Augmented Reality
- Nutzerbasierte Evaluierung diverser Virtual-Reality-Interaktionsarten in unterschiedlichen Anwendungskontexten (PDF)
- Untersuchung verschiedener Fortbewegungsarten in Virtual Reality in Bezug auf den Anwendungskontext (PDF)
- Wo ist die Funktion? - Untersuchung diverser Konzepte für Menüs in Virtual-Reality (PDF)
Open thesis in cooperation with industry
Ongoing thesis
| Year | Type | Title | Student |
| 2023 | BA | Curricular Reinforcement Learning for the Dual-Resource Constrained Job Shop Scheduling Problem | Max André Montag |
| 2023 | MA | Decision Transformers for Solving Production Scheduling Problems via Reinforcement Learning | Fabian Wolz |
| 2023 | BA | Search Algorithms for the Job Shop Scheduling Problem Leveraging Trained Deep Reinforcement Learning Agents | Paul Laszig |
| 2023 | MA | Neuroscience-inspired Ablation Studies for Vision Transformer | Florian Hölken |
| 2023 | BA | A Study of the Transferability of Customer Churn Representation Approaches on Other E-Commerce Use Cases | Ngoc Quynh Nhu Nguyen |
| 2023 | MA | Automatization of image dataset generation using an industrial roboter and further analysis regarding its reproducibility | Leon Wengenroth |
| 2023 | MA | Requirement analysis and specification for data processing within functions of an IoT platform for energy monitoring of retail chains. | Jannik Bals |
Completed thesis
| Year | Type | Title | Student |
| 2023 | MA | Pose Estimation using Deep Learning and Systematic Dataset Generation for Industrial Manufacturing. | Ali Rida Bahja |
| 2023 | MA | A Comparison of Customer Representation Approaches in E-Commerce | Fahd Bouyaouzane |
| 2023 | MA | Automatic texture extraction on synthetic images using 6D Pose Estimation | Oliver Jan Jarosik |
| 2022 | MA | Implementation and Evaluation of Representation Learning Approaches for Quality Classification of Arc Welding | Mauritius Schulz |
| 2022 | MA | Conceptualization, development and evaluation of a web-based demonstrator for the addressee-oriented conveyance of the methods and results of deep reinforcement learning based production scheduling | Mohammad Malmir |
| 2022 | MA | Investigation of multi-task transformer models for visual inspection of freight wagons | Robin Teubert |
| 2022 | BA | Literature analysis on the state-of-the-art of production scheduling using reinforcement learning. | Mustafa Aydin |
| 2022 | BA | Investigation of time constraints for quality prediction in arc welding using deep learning. | Lars Thun |
| 2022 | BA | A Study of the Transferability of Machine Learning Methods on Different E-Commerce Forecasting Tasks. | Josias Schelkes |
| 2022 | MA | Self-Supervised Pre-Training for Long-Term Time Series Forecasting | David Stöter |
| 2022 | MA | Considering Time in the Creation of Activity Embeddings in Online Shopping Sessions | Mark Wönkhaus |
| 2022 | MA | Deep Reinforcement Learning for Job Shop Scheduling: Extension of a Python based Simulation Framework to include Transport and Retooling Times | Richard von Faber |
| 2022 | BA | Cross Robot Imitation Learning through Behavior Cloning for Industrial Assembly | Ilyes Rabai |
| 2022 | MA | Improve Deep Learning-Based Recommender Systems by Learning Customer Preferences | Saad Sebti |
| 2022 | BA | Untersuchung ortsabhängiger Einflüsse auf Deep Learning Modelle bei der Vorhersage von Flusspegeln anhand realer Daten des Flusses Wupper | Finn Lucas Elbl |
| 2022 | BA | Investigation of the generalization ability of a reinforcement learning agent for production scheduling | Merlin Montag |
| 2022 | BA | Untersuchung der Generalisierungsfähigkeit eines Reinforcement Learning Agenten durch Permutationen in einem Flexible Job Shop Scheduling Problem | Jan Voets |
| 2022 | MA | Evaluation and Comparison of Few-Shot Learning based Link Prediction Methods | Rebecca Braken |
| 2022 | MA | A Study of Recent Deep Learning-Based Recommender Systems by Evaluating Their Performance on Publicly Available Benchmark Datasets | Shady Yehia |
| 2022 | BA | An examination of the application of AI paradigms Continual Learning and Meta Learning in the industry sector of industrial manufacturing | Robin Gansäuer |
| 2022 | MA | Optimizing the storage location assignment in a high-bay warehouse with reinforcement learning. | Dimitri Tegomo Nanfack |
| 2022 | BA | The digital future of the craft sector - Construction of a knowledge base for the use of IoT sensor technology in the craft sector | Lena Schuster |
| 2022 | BA | Development of a Smart and Interactive Gantt-Chart for Assisted Production Planning | Georg Wanja Zemke |
