Poster session

1. Omar Arahbi, Fractional modeling and impedance model parameters identification of Lithiumion

batteries.

2. Robert Bereza, Towards scalable identification of non-linear differential-algebraic equations

with process disturbances.

3. Sarthak De, Global identifiability of parameterized nonlinear dynamical models.

4. Michael Döhler, High dimensional data reduction in modal analysis with stochastic subspace

identification.

5. Stefanie Fonken, Local identification in dynamic networks using a multi-step method.

6. Anubhab Ghosh, DeepBayes - an estimator for parameter estimation in stochastic nonlinear

dynamical models.

7. Rodrigo González, Identification of linear state-space models subject to truncated Gaussian

disturbances.

8. Szymon Gres, Parameter-state estimation for mechanical systems with small model errors.

9. Noël Hallemansa, Electrochemical impedance spectroscopy beyond linearity and stationarity.

10. Taleb Hamdan, Control of calendering process, an initial step in tire manufacture.

11. Jiabao He, Non-asymptotic identification of Markov parameters using weighted least-squares.

12. Xin He, A pipeline for analyzing large-scale time-course bulk mRNA data.

13. Yue Ju, Asymptotic theory for Stein's unbiased risk estimation and generalized cross-validation

hyper-parameter estimators.

14. Hugo Koide, Robust adaptive filtering methods for online mass estimation of electric vehicles

15. Krzysztof Kowalczyk, Learning with guarantees for multi-agent systems.

16. Braghadeesh Lakshminarayanan, Parameter estimation: Simulation driven and privacy

preserving approaches.

17. Francois Lamoline, Gene expression modelling from single-cell data using optimal mass

transport.

18. Jimei Li, Lithium-ion battery identification through online concurrent state and parameter

estimation.

19. Yuhan Liu, Efficient Bayesian learning of Gaussian process state-space models

with probabilistic stability guarantees.

20. Inês Lourenco, Learning from interactions: Beliefs, policies, and rewards.

21. Stefano Magni, Toward inference of gene regulatory networks from single-cell RNA-sequencing

data by the chemical master equation and the chemical Langevin equation.

22. Gabriel Maik, Cyclostationarity in a loop?

• Magnus Malmström, Multimodal representation of the uncertainty of the prediction from neural networks.
• Per Mattsson, On the regularization in DeePC.
• Mirko Mazzoleni, Characterization of the identification variance of kernel-based models with randomized approaches and its use in robust control and fault diagnosis.
• Jared Miller, Frequency-domain system identification via sparse rational optimization.
• Sarvin Moradi, Output error port-Hamiltonian neural networks.
• Ilja van Oort, SYSDYNET: MATLAB app and toolbox for system identification in dynamic networks.
• Javad Parsa, Coherence-based input design for nonlinear systems.
• Antônio Ribeiro, Regularization properties of adversarially-trained linear regression.
• Hans van Rooij, Exploring the critical values of multivariate polynomial optimization problems in system identification applications.
• Fahim Shakib, Parameterisation of a family of neuralODEs optimally fitting steady-state data.
• Bowen Song, Do we need models for control? A system theoretic study of data-driven policy iteration.
• Luuk Spin, Instrumental variables for direct data-driven control.
• Koen Tiels, Control variates for multivariate truncated probability density functions with application in system identification.
• Freja Vandeputte, Parametric estimation of fractional order impedance models to study battery aging.
• Lukas Vanpoucke, Globally optimal misfit identification of multidimensional difference equations.
• Amedeo Varano, ROVA, a practical and parsimonious Volterra model.
• Christof Vermeersch, Using the (Block) Macaulay Matrix in the Chebyshev Polynomial Basis.
• Prabhu Vijayan, Demonstrating equivalence between PNLSS and Volterra models for some SISO block-oriented models.
• Johanna Wilroth, Mapping EEG measurements to the brain activation location.
• Rebecka Winqvist, Optimal transport for correctional learning.
• Krzysztof Zając, Measurement embedding for transformer-based system identification.
• Stefanie Zimmermann, On estimating frequency response functions of a 6-axis robot