Maik Pfefferkorn
Scholar

Maik Pfefferkorn

Google Scholar ID: eN4C85QAAAAJ
Control and Cyber-Physical Systems Laboratory, Technical University of Darmstadt
Model Predictive ControlGaussian Process RegressionUncertainty PropagationMachine Learning
Citations & Impact
All-time
Citations
64
 
H-index
6
 
i10-index
2
 
Publications
18
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Completed a wide range of student projects, including Master's theses and Bachelor's theses, covering diverse topics from Tire-Friction Learning for Vehicles by Gaussian Process State Space Models to Graph Diffusion for Imitation Learning in Robotics.
Research Experience
  • Worked on multiple Master's thesis projects such as Model Predictive Control for Ball Juggling, Decoding Linguistic Information from iEEG Spectrograms with Deep Learning Approaches. Also involved in several completed research topics like Enhancing EEG-based Cognitive State Classification through Graph Neural Networks, Augmenting EEG Data for Music-Emotion Recognition using Diffusion Models, etc.
Background
  • Research Interests: Machine-Learning-supported Model Predictive Control, Gaussian Processes (GPs) for Systems Modeling and Control, Uncertainty Propagation and Safety Guarantees in Gaussian-Process-based Model Predictive Control, Stochastic Model Predictive Control, Control of Scanning Quantum Dot Microscopy.
Co-authors
0 total
Co-authors: 0 (list not available)