Open Bachelor and Master Theses

Topic
Supervisor Type
Evolutionary Algorithms for the Estimation of Kinetic Parameters in Stochastic Biomedical Models
R. Lipp, A. Schmeink Master/ Thesis
Derivation, Validation, and Potential Treatment of Clinical Phenotypes for Kidney Failure with Machine Learning
A. Schmeink Master/ Thesis
Development of a deep learning based lipreading system for patients with speech impairment
A. Schmeink Master/ Thesis
Generalization of Off-policy Reinforcement Learning to Non-Markovian State Space
G.Dartmann, A. Schmeink Bachelor/Master Thesis
On the Use of Multi-objective Metaheuristics in Pre-processing for Reinforcement Learning
G.Dartmann, A. Schmeink Bachelor/Master Thesis
Indoor Channel Modeling using Neural Networks
K. Preusser, A. Schmeink Master Thesis
Maximizing the QoS-Constrained Performance of Relaying with Finite Blocklengths: More Retransmissions vs. Longer Blocklengths
Y. Hu, A. Schmeink Master Thesis
Performance of Relaying with Finite Blocklengths: DF relaying vs. AF relaying vs. DAF relaying
Y. Hu, A. Schmeink Master Thesis
Design of Reliable Relaying Networks with Finite Blocklengths: Minimizing the Overall Error Probability
Y. Hu, A. Schmeink Master Thesis

Current Bachelor and Master Theses

Topic
Supervisor Type
Interference Management in Wireless Sensor Networks for Avionics
A. Zamani, A. Schmeink External Master/ Thesis
Algorithms for Object detection and depth estimation in autonomous driving
S. Shojaee, A. Schmeink External Master/ Thesis
Developmemnt of a learning platform for Robot vision applications using ABB
E. Zandi, A. Schmeink External 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

© ISEK at RWTH Aachen