Open projects

There is no open project available at the moment. However, if you have any research ideas regarding system identification, learning-based / data-driven control, and model predictive control, I would be happy to discuss and potentially supervise.

Teaching assistants

Students projects

  • 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