Maik Pfefferkorn M.Sc.
Working area(s)
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
Contact
maik.pfefferkorn@iat.tu-...
work +49 6151 16-25171
fax 06151 16-25172
Work
S3|10 520
Landgraf-Georg-Str. 4
64283
Darmstadt
| Master's Theses | |
|---|---|
| Topic | Status |
|
Model Predictive Control Strategies for Hodgkin-Huxley Neuron Model in Closed-Loop Neuromodulation: A Simulation Study (opens in new tab) Co-Supervisor: Keivan Ahmadi |
available |
|
Design and Construction of a Chewing Simulation System for Investigating the Mechanical Durability of Complete Dentures Co-Supervisor: Stefan Mischliwski |
in progress |
|
Model Predictive Control for Ball Juggling (opens in new tab) Co-Supervisor: Kai Ploeger |
in progress |
|
Efficient Optimization of Electrode Positions and Currents in HD-tDCS Using Bayesian Optimization (opens in new tab) Co-Supervisor: Keivan Ahmadi |
in progress |
|
Relative-Entropy Adaptive Domain Randomization Co-Supervisor: Theo Gruner, Puze Liu |
completed |
|
Decoding Linguistic Information from iEEG Spectrograms with Deep Learning Approaches Co-Supervisor: Keivan Ahmadi |
completed |
|
Learning Temporal and Spectral Patterns from iEEG Spectrograms using Deep Learning (opens in new tab) Co-Supervisor: Keivan Ahmadi |
completed |
|
Safe but Not Conservative: Robust MPC for High-Performance Time-Optimal Control External Thesis (TU Munich, Prof. Schöllig) |
completed |
|
Hybrid Force-Impedance Control for Robotic Manipulators Co-Supervisor: Junning Huang |
completed |
|
Enhancing EEG-based Cognitive State Classification through Graph Neural Networks (opens in new tab) Co-Supervisor: Keivan Ahmadi |
completed |
|
Augmenting EEG Data for Music-Emotion Recognition using Diffusion Models (opens in new tab) Co-Supervisor: Keivan Ahmadi |
completed |
|
Formation Path Planning using Model Predictive Control (opens in new tab) Co-Supervisor: Sebastian Gasche, Christian Kallies |
completed |
|
Exploring Music Perception and Imagination through Deep Learning (opens in new tab) Co-Supervisor: Keivan Ahmadi |
completed |
|
Imitative Model Predictive Control for Safe Navigation Co-Supervisor: Philipp Holzmann |
completed |
|
Data-driven Surrogate Model Generation for Automated Directional Drilling (opens in new tab) Co-Supervisor: Felix Häusser |
completed |
| Tire-Friction Learning for Vehicles by Gaussian Process State Space Models | completed |
|
Control of a Three-Tank System using Multi-Fidelity Gaussian Processes (opens in new tab) Co-Supervisor: Felix Häusser |
completed |
|
Graph Diffusion for Imitation Learning in Robotics Co-Supervisor: Ali Younes, An T. Le |
completed |
|
Stochastic Nonlinear Model Predictive Control for Offshore Energy Systems using Gaussian Processes Co-Supervisor: Kiet T. Hoang, Lars Imsland |
completed |
|
Set-up and Closed-Loop Control of an Exoskeleton Co-Supervisor: Sebastian Hirt |
completed |
| Learning Patient Models of Acute Lymphoblastic Leukemia for Individualized Maintenance Therapy | completed |
| Modeling of Cell Dynamics During Maintenance Therapy of Acute Lymphoblastic Leukemia | completed |
| Cost Function Learning for Model Predictive Control Using Bayesian Optimization | completed |
|
Physically Consistent Model Learning of Robotic Systems with Gaussian Processes (opens in new tab) Co-Supervisor: Philipp Holzmann |
completed |
|
Gaussian-Process-based Modeling of Human Drivers from Real Data (opens in new tab) Co-Supervisor: Johanna Bethge |
completed |
| The Fokker-Planck Equation for Gaussian Process-based Model Predictive Control (opens in new tab) | completed |
| Bachelor's Theses | |
| Topic | Status |
|
Learning Optimal Control for Hodgkin-Huxley Neuron Dynamics Using Physics-Informed Neural Networks (opens in new tab) Co-Supervisor: Keivan Ahmadi |
in progress |
|
Deep Learning Approaches for Classifying EEG Responses to Naturalistic Music Stimuli (opens in new tab) Co-Supervisor: Keivan Ahmadi |
completed |
| Modeling of Human-Driven Vehicles from Real Data Using Gaussian Mixture Models | completed |
|
Gaussian-Process-based Modeling of Individual Human-Driven Vehicles from Real Data (opens in new tab) Co-Supervisor: Johanna Bethge |
completed |
| Project Seminars | |
| Topic | Status |
|
Contract-Based Hierarchical Control of a Mobile Ground Robot (opens in new tab) Co-Supervisor: Lukas Theiner |
completed |
|
Tuning of Model Predictive Control using Bayesian Optimization (opens in new tab) Co-Supervisor: Philipp Holzmann |
completed |
|
Model Identification and Control for Robotic Manipulators using Physics-Informed Neural Networks (opens in new tab) Co-Supervisor: Philipp Holzmann |
completed |
|
Iterative Model Improvement Learning Control for Robotic Manipulators (opens in new tab) Co-Supervisor: Philipp Holzmann |
completed |
|
Formal Verification of a Robotic Arm using Hybrid Model Checking (Otto-von-Guericke University Magdeburg) |
completed |
| Proseminars | |
| Topic | Status |
| Formal Verification of Machine-Learning-supported Model Predictive Controllers | completed |
| Optimal Risk Allocation for Stochastic Model Predictive Control | completed |
| Technical University of Darmstadt | |
|---|---|
| Model Predictive Control and Machine Learning | Winter term 2021/2022, 2022/2023, 2023/2024, 2024/2025, 2025/2026 |
| Machine Learning for Mechatronic and Dynamical Systems | Summer term 2025 |
| Project Course: Control Theory | Summer term 2024 |
| Modeling and Simulation | Summer term 2022 |
| Otto-von-Guericke University Magdeburg | |
| Machine Learning, Dynamical Systems, and Control | Summer term 2020, 2021 |
| Introduction to Cybernetics | Winter term 2020/2021 |
Link to Google Scholar
Link to ResearchGate
| since 06/2023 | Research assistant and Ph.D. student at the Control and Cyber-Physical Systems Laboratory (Prof. Rolf Findeisen), Technical University of Darmstadt (Germany) |
| 06/2020 – 05/2024 | Regular fellow of the graduate program Mathematical Complexity Reduction (DFG GRK 2297) at the Faculty of Mathematics, Otto-von-Guericke University Magdeburg |
| 03/2020 – 05/2024 | Research assistant and Ph.D. student at the Systems Theory and Automatic Control Laboratory (Prof. Rolf Findeisen), Otto-von-Guericke University Magdeburg (Germany) |
| 01/2020 | Master's degree (M.Sc.) in Biosystems Engineering from the Otto-von-Guericke University Magdeburg (Germany) |
| 05/2018 | Bachelor's degree (B.Sc.) in Biosystems Engineering from the Otto-von-Guericke University Magdeburg (Germany) |