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Fakultät 1
Fachgebiet Angewandte Mathematik Prof. Dr. rer. nat. habil. Michael Breuß

Laboratory management

Dr. Toni Schneidereit

In close cooperation with

Prof. Michael Breuß (Applied Mathematics)
Prof. Douglas Cunningham (Graphical Systems)

With the AI-Lab, we have been creating a space for AI-related Teaching and Research at the BTU Cottbus-Senftenberg since 2022. We offer topics and supervision of Master Theses and conduct research on several AI and Machine Learning topics. 

Equipment

  • several high-performance AI workstations
  • various lesser powerful computer devices
  • a Fischertechnik Learning Factory
  • two 3D printers
  • several wheeled drones
  • several flying drones
  • several cameras (e.g., multispectral, thermal)

Topics

  • Object Detection with R-CNN
  • Image Classifications with CNNs
  • Data sets, Data augmentation and Data analysis
  • Dictionary Learning for image reconstruction
  • Autoencoder and GANs
  • and more

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. 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. doi.org/10.1186/s13662-023-03789-x

Alisha Antony (study programme Artificial Intelligence)
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)
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)
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 GPU computation time]

Akshat Kothari (study programme Artificial Intelligence)
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)
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)
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)
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)
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)
KI-basierte Schwimmstilklassifikation aus Drohnenaufnahmen.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2025.
[Supervised by the AI-Lab]

Krishna Dave (study programme Artificial Intelligence)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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]