Open projects

• A Bayesian Perspective in Data-Driven System Analysis and Control

If you have any research ideas in general regarding system identification, learning-based / data-driven control, and model predictive control, I would be happy to discuss and potentially supervise.

Teaching

• Data- and Learning-Based Control (Exercises, 2024)

• Robust Control and Convex Optimisation (TA, 2023)

• System Identification (TA, 2019 - 2022, head TA from 2020)

• Control Systems II (TA, 2020 - 2022)

Students projects

Leibniz University Hannover

• Uncertainty Propagation in Gaussian Process Model Predictive Control
  2025.12 - 2026.6, Master thesis with Tao Yan

• Data-Driven Initial Condition Filtering for Receding Horizon Control
  2025.12 - 2026.6, Master thesis with Qian Chen

• A Bayesian Perspective in Data-Driven System Analysis and Control
  2025.6 - 2025.12, Bachelor thesis with Seyed Ali Nazari

• Data Driven Methods in Space Heating Control: Sensitivity with Missing Data
  2025.6 - 2025.9, Bachelor thesis with Hannes Krogmann

• Data-Driven Methods in Space Heating Control: Signal Matrix Model and Machine-Learning-Based Approaches
  2024.11 - 2025.5, Master thesis with Zhongyuan Fu

ETH Zurich

• Koopman-operator-based data-driven predictive control for nonlinear systems
  2023.5 - 2023.9, Semester project with Yanze Liu (visiting student from University of Wisconsin–Madison)

• Sparse learning algorithms in linear system identification
  2023.2 - 2023.9, Master project with David Laseca Pérez, co-supervised with Amber Srivastava

• Closed-loop identification of sparse networked systems
  2023.2 - 2023.9, Master project with Ran Chen, co-supervised with Amber Srivastava

• Transversal hyperplane selection in identification of local limit cycle dynamics
  2022.7 - 2022.10, Semester project with Kailai Yan

• Constraint satisfaction and physical consistency in data-driven control for energy flexible buildings
  2022.3 - 2022.9, Master project with Andrea Gattiglio, co-supervised with Hanmin Cai from Empa

• Sparse learning in system identification: debiasing and infinite-dimensional algorithms
  2021.4 - 2021.11, Master project with Mehmet Tolga Akan, co-supervised with Andrea Iannelli & Mohammad Khosravi, report

• Identification of limit cycle dynamics with linear periodic models for airborne wind energy applications
  2021.3 - 2021.10, Master project with Defne Ege Ozan, co-supervised with Andrea Iannelli, report

• Modeling and identification of bifurcation regimes in thermoacoustic instabilities
  2020.3 - 2020.6, Semester project with Defne Ege Ozan, co-supervised with Andrea Iannelli