INDA Open Thesis

Open Bachelor and Master Theses

Topic	Supervisor	Type
Reinforcement Learning aided Design of Polarization-based Codes	S. Seyedmasoumian, A. Schmeink	Master Thesis / Hiwi job
Tracking and Evasion using Co-Training with Context Knowledge. In cooperation with Fraunhofer FKIE	A. Charlish	Master Thesis
Radar Waveform Generation Adaptive to Spectral Environment. In cooperation with Fraunhofer FKIE	A. Charlish	Master Thesis
Intelligent Reflective Surfaces in Wireless Powered Communication Networks	X. Yuan, A. Schmeink	Master Thesis
Efficient Trajectory Design for UAV-Assisted Wireless Communication Networks	X. Yuan, A. Schmeink	Master Thesis / Hiwi job
Low-latency Mobile Edge Networks: Federated Learning and Optimization	Y. Zhu, A. Schmeink	Master Thesis
Scheduling, Infrastructure, and Standards of Electric Vehicle Charging Stations	K. Preusser, A. Schmeink	Master Thesis
Resource Allocation and Multiple Access Design for Personalized URLLC Services	X. Yuan, Y. Zhu, A. Schmeink	Bachelor Thesis / Master Thesis
Analytical and Intelligent solutions for the Integrated Sensing and Communication in 6G networks	Y. Zhu , A. Schmeink	Master Thesis/Hiwi job
Design and implementation of an energy efficient artificial pancreas using reinforcement learning	A.Ayad, A. Schmeink	Master Thesis

Current Bachelor and Master Theses

Topic	Supervisor	Type
Medical Images Classification using Semi-supervised Learning Algorithms	M. Barhoush, A. Schmeink	Master Thesis
Optimization of Generative Adversarial Networks for Specific Biomedical Applications Using Evolutionary Algorithms	R. Lipp, A. Schmeink	Master Thesis
Optimal Design for Mobile Edge Computing Networks in the Finite Blocklength Regime	Y. Hu, A. Schmeink	Master Thesis
Cooperative Trajectory Design and Resource Allocation for UAV	Y. Hu, A. Schmeink	Master Thesis
Reinforcement learning-based design in edge computing networks	Y. Hu, A. Schmeink	Master Thesis
Evolution of Behavior Trees for Reinforcement Learning on Medical Data	L. Martin, A. Schmeink	Master Thesis
Modeling of the Sepsis Process by using Petri Nets	A. Schmeink	Master/Bachelor Thesis
Neural Nets to learn the topology and parameters of Petri Nets based on measurements, with application to Sepsis	G. Dartmann, A. Schmeink	Master Thesis
Influence of Compression on Uncertainty Representations in Deep Neural Networks	A. Schmeink	Master Thesis
Configuration and Commissioning of Field Devices using Wireless Communication and Semantic Information Models	A. Schmeink	Master Thesis
Energy-Efficient Routing Algorithm for Wireless Heterogeneous Networks under Statistical Delay Constraints	A. Schmeink, N. Petreska	Master Thesis
Efficient Federated Learning with Parameterized Quantization	P. Zheng , A. Schmeink	Master Thesis/Hiwi job
Multi-policy Reinforcement Learning Method for Multi-objective 6G Network Slicing	P. Zheng , A. Schmeink	Master Thesis
Energy Efficient ECG-Based Heartbeat Classification and Arrhythmia Detection	A. Ayad, A. Schmeink	Master Thesis
Secure and Efficient Distributed Machine Learning on Edge Devices	A. Ayad, A. Schmeink	Master Thesis

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