Thesis Topics
Bachelor-, Projekt- und Masterarbeiten
- Stochastic computation (sde)
- Machine learning (neural networks, robotic applications)
- Quantum computing (algorithm design)
Recent Theses
2017-2021
- Latency insensitive circuits (T. Ghauri, Project, 2022)
- Analysis of unstructured data in software license management process via NLP (O. Sukharska, Bachelor, 2021)
- Convolutional neural networks for handwritten characters (J.O. Lübsen, Project, 2021)
- Convolutional neural networks for distributive learning (C.M. Becker, Project, 2021)
- Evaluation of Yolact realtime segmentation algorithm (L. Nguyen, Bachelor, 2021)
- Classes of artificial neural network architectures (E. Khosravi, Bachelor, 2021)
- Repair limit replacement problem (N. Dieckow, Bachelor, 2021)
- Convolutional networks and backpropagation (H.A. Albabboub, Bachelor, 2021)
- Question answering with deep learning (L. Polak, Project, 2021)
- Teleport problem (T. Asselborn, Project, 2021)
- Cleaning robot (O. Baiazid, Bachelor, 2021)
- Digit recognition with convolutional networks (T. Ahlgrimm, Bachelor, 2021)
- Iterative learning methods (P. Hüber, Bachelor, 2021)
- Branch prediction in Pymtl3 based chip systems (P. He, Project, 2021)
- Spiking neural networks for Mnist and Cifar-10 datasets (R. Revivo, Bachelor, 2021)
- Automobile replacement problem (W. Tamraz, Project, 2021)
- Text categorization via naive Bayesian (N. Asif, Bachelor, 2021)
- Intelligent AI-powered search engine (A. Levakin, Master, 2021)
- Object detection using CNNs (T. Ruschke, Bachelor, 2021)
- Hardware generation of CNNs (R. Dittmann, Master, 2021)
- Decision-based machine learning (B.D. Wantou, Bachelor, 2021)
- Optimalization in deterministic and stochastic environments (D. Kocabas, Master, 2021)
- Graph-based slam and occupancy grid mapping algorithms (Y. Lin, Project, 2021)
- Bioinformatics (A. Liebhoff, Diss., 2021)
- Formal verification of PyTRL-based hardware descriptions (J. Janssen, Bachelor, 2020)
- Reinforcement Learning for network optimization (J. N'Dri, Master, 2020)
- Binary neural networks (M. Klingbeil, Bachelor, 2020)
- Classification of images by convolutional neural networks (M. Zeng, Bachelor, 2020)
- Classification of handwritten digits by convolutional neural networks (H. Feller, Bachelor, 2020)
- RISC based system on chip (M. Rohlf, Project, 2020)
- Ontology engineering based on machine learning (A. Levakin, Project, 2020)
- Simultaneous location and mapping for robot simulation (M. Dobler, Bachelor, 2020)
- Supervised and unsupervised algorithm on semi-structured data (A. Nematolahi, Master, 2020)
- Optimal strategies in deterministic and nondeterministic environments (D. Kocabas, Project, 2020)
- Parameter setting and evaluation of classifiers in spiking neural networks (J. N'Dri, Project, 2020)
- Parameter search in deep spiking neural networks (Mattes Ruckdeschel, Project, 2020)
- Algebraic modeling via Gröbner bases in systems biology (Faryal Asif, Bachelor, 2020)
- Machine learning for compact model parameter extraction (Peili Li, Master, 2019)
- Logic-based question-answering system for reading comprehension (Qin Li, Master, 2019)
- Matlab implementation of Grover quantum algorithm (Max Gandyra, Project, 2019)
- Training robots to grasp objects using reinforcement learning (Chao Hou, Project, 2019)
- Comparison of machine learning algorithms for autonomous driving (Sascha Lüthje, Bachelor, 2019)
- New generation cryptography (D. Becker, Diss., 2018)
- Support vector machine for the prediction of seesickness (Mengyu Shi, Master, 2018)
- Design of Vulcan engine (Fynn-Jorin Flügge, Master, 2018)
- Natural language processing and deep learning for sentiment analysis (Erik Oziel Hernandez Diaz, Project, 2018)
- 3D-construction of roboter-hand controlled via Android (Marjan Hidalgo, Project, 2018)
- Error supervision via OLAP-based expert system (Mengyu Shi, Project, 2018)
- Comparison of techniques for the conversion of ANN to SNN (Tom Lemsky, Bachelor, 2018)
- Classification of vessel state transitions in ports (Alexey Levakin, Bachelor, 2018)
- Lower bound for the busy-beaver function via binary Turing machines (Alex Kossinz, Bachelor, 2018)
- Adversarial machine learning (Mostafa Assaf, Bachelor, 2018)
- Augmented reality for model railway (Jascha Helbig, Bachelor, 2018)
- Simulators for spiking neural networks (Jonas Krug, Bachelor, 2018)
- Quantum computing and the Deutsch-Jozsa algorithm (Luis Cobo, Bachelor, 2018)
- Quantum computing and the Deutsch-Jozsa algorithm (Karine Petrosyan, Bachelor, 2018)
- Audio interface for real-time processing via FPGA (Klaus Benner, Bachelor, 2018)
- Camera interface for FPGA board (Lutz Schammer, Bachelor, 2018)
- Distributed monitoring of topological events via homology (Vincent Knapp, Master, 2017)
- Recent methods for unsupervised hashing via graphs (Alexander Weber, Master, 2017)
- Realtime GPGPU FFT ocean water simulation (Fyn-Jorin Flügge, Project, 2017)
- Gröbner bases for linear codes (Emine Kocabas, Master, 2017)
- Opportunities and risks of robotic process automation in supply chain management of high-tech industries (Sushree Dash, Master, 2017)
- Design of chip-based logic analyzer (Florian Reinecken, Bachelor, 2017)
- Interface architecture for high-level synthesis-based hardware accelerators (Lasse Knudsen, Bachelor, 2017)
- Hardware accelerator for video segmentation via high-level synthesis (T. Domnitz, Bachelor, 2017)
- Algebraic modeling of the Lac-Operon in E. coli (Lena Stohwasser, Bachelor, 2017)
- Message passing decoding of LDPC codes (Aitor Lopez Hernandez, Project, 2017)