Congratulations to Paul Scharnhorst for winning IEEE CSS Swiss Chapter Young Author Best Journal Paper Award 2024
The award was granted for the paper:
P. Scharnhorst, E. T. Maddalena, Y. Jiang, and C. N. Jones, “Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach,” IEEE Trans. Automat. Contr., vol. 68, no. 5, pp. 2848–2861, May 2023, doi: 10.1109/TAC.2022.3227907
with the award committee giving following motivation: «The paper is being recognized for its novel approach to derive uncertainty bounds for kernel-based function approximators. The approach differs from concentration bounds currently used in the community – it breaks the independence assumption while providing robust guarantees, which can be incorporated in robust optimization and control»
Congratulations also to the other two finalists:
- Z. He, S. Bolognani, J. He, F. Dörfler, and X. Guan, “Model-Free Nonlinear Feedback Optimization,” IEEE Trans. Automat. Contr., pp. 1–16, 2023, doi: 10.1109/TAC.2023.3341752.
- C. L. Galimberti, L. Furieri, L. Xu, and G. Ferrari-Trecate, “Hamiltonian Deep Neural Networks Guaranteeing Nonvanishing Gradients by Design,” IEEE Trans. Automat. Contr., vol. 68, no. 5, pp. 3155–3162, May 2023, doi: 10.1109/TAC.2023.3239430.
Thank you to MathWorks for their generous support of the award.
