S. Zell, T. Schneidereit, A. Fügenschuh, M. Breuß (2026): Autonomous Unmanned Aircraft Systems for Enhanced Search and Rescue of Drowning Swimmers: Image-Based Localization and Mission Simulation. arXiv preprint. https://arxiv.org/abs/2604.18088

S. Humagain, T. Schneidereit (2025): Strategies for training point distributions in physics-informed neural networks. arXiv preprint.  https://www.arxiv.org/abs/2508.13216

T. Schneidereit, S. Gohrenz, M. Breuß (2025): Object detection characteristics in a learning factory environment using YOLOv8. Intelligent Systems and Applications. IntelliSys 2025. Springer Lecture Notes in Networks and Systems,  1567, pp. 288-308. Best Paper Award. https://doi.org/10.1007/978-3-032-00071-2_18

S. Zell, T. Schneidereit, A. Fügenschuh, M. Breuß (2024): Advanced search and rescue operations for drowning swimmers using autonomous unmanned aircraft systems: location optimization, flight trajectory planning and image-based localization. Cottbus Mathematical preprints. https://doi.org/10.26127/BTUOpen-6866

M. Khan Mohammadi, T. Schneidereit, A. Mansouri Yarahmadi, M. Breuß (2024): Investigating training datasets of real and synthetic images for swimmer localisation with YOLO. MDPI AI, 5, pp. 576-593. https://doi.org/10.3390/ai5020030

S. Schneidereit, A. Mansouri Yarahmadi, T. Schneidereit, M. Breuß, M. Gebauer (2024): YOLO-based Object Detection in Industry 4.0 Fischertechnik Model Environment. Intelligent Systems and Applications. Lecture Notes in Networks and Systems, 823, pp. 1-20. https://doi.org/10.1007/978-3-031-47724-9_1

T. Schneidereit, M. Breuß (2023): Adaptive neural-domain refinement for solving time-dependent differential equations. Advances in Continuous and Discrete Models 2023, 42, pp. 1-27. https://doi.org/10.1186/s13662-023-03789-x

T. Schneidereit, M. Breuß (2022): Collocation polynomial neural forms and domain fragmentation for solving initial value problems. Neural Computing and Applications, 34, pp. 7141–7156. https://doi.org/10.1007/s00521-021-06860-4

T. Schneidereit, M. Breuß (2022): Computational characteristics of feedforward neural networks for solving a stiff differential equation. Neural Computing and Applications, 34, pp. 7975–7989. https://doi.org/10.1007/s00521-022-06901-6

T. Schneidereit, M. Breuß (2021): Polynomial Neural Forms Using Feedforward Neural Networks for Solving Differential Equations. Artificial Intelligence and Soft Computing, 12854, ICAISC 2021, pp. 236–245. https://doi.org/10.1007/978-3-030-87986-0_21

A. M. Yarahmadi, M. Breuß, C. Hartmann, T. Schneidereit (2021): Unsupervised Optimization of Laser Beam Trajectories for Powder Bed Fusion Printing and Extension to Multiphase Nucleation Models. Mathematical Methods for Objects Reconstruction, 54, INdAM 2021, pp. 157–176. https://doi.org/10.1007/978-981-99-0776-2_6

T. Schneidereit, M. Breuß (2020): Solving ordinary differential equations using artificial neural networks-a study on the solution variance. Proceedings of the conference algoritmy, pp. 21-30.

Sandra Stroiczek (study programme Artificial Intelligence, B.Sc.)
Ensemble-Lernen mit QLDT-Bäumen.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2026.
[Reviewed by the AI-Lab]

Ayswarya Sreeraj (study programme Artificial Intelligence, M.Sc.)
Region-Aware Facial Expression Recognition via Face Parsing and Adaptive Fusion.
Master Thesis, Brandenburg University of Technology, Germany, 2026.
[Supported by the AI-Lab with GPU computation time]

Rahul Ramakrishnan (study programme Artificial Intelligence, M.Sc.)
Explainable classification of historical buildings in 3D point clouds using a variational autoencoder.
Master Thesis, Brandenburg University of Technology, Germany, 2026.
[Supported by the AI-Lab with Feedback]

Nour Aldeen Dugha (study programme Artificial Intelligence, M.Sc.)
Parameter-Efficient Dynamic Facial Expression Recognition System Using a Factorized Vision Transformer.
Master Thesis, Brandenburg University of Technology, Germany, 2026.
[Supported by the AI-Lab with GPU computation time]

Anees ur Rehman (study programme Artificial Intelligence, M.Sc.)
Exploring a Synthetic Image Creation Approach and Generative Adversarial Network Evaluation to Reduce Class Imbalance.
Master Thesis, Brandenburg University of Technology, Germany, 2026.
[Supervised by the AI-Lab]

Kalyani Menon (study programme Artificial Intelligence, M.Sc.)
Analyzing the Impact of Labeling Accuracy in Object Detection Performance.
Master Thesis, Brandenburg University of Technology, Germany, 2026.
[Supervised by the AI-Lab]

Alisha Antony (study programme Artificial Intelligence, M.Sc.)
Efficient Dynamic Facial Expression Recognition Using Knowledge Distillation.
Master Thesis, Brandenburg University of Technology, Germany, 2026.
[Supported by the AI-Lab with GPU computation time]

Fariborz Bagherzadeh (study programme Artificial Intelligence, M.Sc.)
Comparative Evaluation of Drift Detection Methods for Incremental Fine-Tuning in Heat Load Forecasting.
Master Thesis, Brandenburg University of Technology, Germany, 2026.
[Supported by the AI-Lab with GPU computation time]

Taliya Theresa Joseph (study programme Artificial Intelligence, M.Sc.)
Systematic Evaluation of Hybrid-NeRF-NeXTacto Architecture with State-of-the-Art Architectures.
Master Thesis, Brandenburg University of Technology, Germany, 2026.
[Supported by the AI-Lab with feedback and GPU computation time]

Akshat Kothari (study programme Artificial Intelligence, M.Sc.)
Text-to-3D Scene Generation: A Transformer-Driven Framework for Custom Virtual Environments.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supported by the AI-Lab with feedback]

Aseem Garg (study programme Artificial Intelligence, M.Sc.)
Enhancing Music Genre Classification using Diffusion Model Augmentation.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supported by the AI-Lab with feedback]

Muhammad Faheem Arshad (study programme Artificial Intelligence, M.Sc.)
Automated Image Processing for fissure Detection and Coating in Raney Nickel-Coated Electrodes.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supported by the AI-Lab with GPU computation time]

Yannic Laurenz (study programme Information and Media Technology, B.Sc.)
Enhancing Hand Tracking Models through AI-Generated Synthetic Training Data.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Moritz Krauth (study programme Artificial Intelligence Engineering, M.Sc.)
Sparse Dictionary Learning für das Entrauschen von Bildern.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Lisa Albinus (study programme Economathematics, B.Sc.)
KI-basierte Schwimmstilklassifikation aus Drohnenaufnahmen.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Krishna Dave (study programme Artificial Intelligence, M.Sc.)
Exploration of Projected Gradient Descent for Diffusion based Image Generation.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supported by the AI-Lab with feedback]

Santosh Humagain (study programme Physics, M.Sc.)
Solving Differential Equations using Physics-Informed Neural Networks: Investigating Training Point Distributions.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Parth Bhardwaj (study programme Artificial Intelligence, M.Sc.)
Multi-Matrix Markov Chains for Polyphonic Music Generation.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supported by the AI-Lab with feedback]

Cecil Joseph (study programme Artificial Intelligence, M.Sc.)
Evaluating reinforcement learning algorithms for UAV navigation in diverse simulated environments.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supported by the AI-Lab with feedback]

Pacilia C. Abanda (study programme Artificial Intelligence, M.Sc.)
Fine-tuning a stable diffusion model to enhance control over furniture image generation.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supported by the AI-Lab with feedback and GPU computation time]

Stefan Gohrenz (study programme Mechanical Engineering, M.Sc.)
Systematische Untersuchung zur KI-basierten Objekterkennung von verschiedenen Materialien in einer Industrie 4.0 Modellumgebung.
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Johannes Höna (study programme Artificial Intelligence Technology, M.Sc.)
AI-based object recognition with YOLO of plastid clusters in fluorescence microscopy
Master Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Alexander Howel (study programme Computer Science, B.Sc.)
Drone detection and drone following with the Robomaster EP.. 
Bachelor Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Patrick Ebert (study programme Computer Science, B.Sc.)
Reduction of process throughput time in a Fischertechnik modelfactory.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Dustin Scharf (study programme Computer Science, B.Sc.)
A draft for the implementation of a practical course on Transformer Networks.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2024.
[Supervised by the AI-Lab]

Slavomíra Schneidereit (study programme Mechanical Engineering, M.Sc.)
Investigation of object recognition with neural networks using YOLO models in a learning factory.
Master Thesis, Brandenburg University of Technology, Germany, 2022.
[Supervised by the AI-Lab]