news

Aug 12, 2026 I joined Flower as Optimization Engineer! Really exciting to be part of a company shaping tomorrow’s European power system ⚡️
Aug 01, 2026 The workshop TS-Limits I co-organized has been accepted for NeurIPS 2026.
Jun 10, 2026 Two manuscripts have been accepted for CinC 2026. More details in the publications page.
May 18, 2026 Check out our latest preprint How Do Electrocardiogram Models Scale? on arXiv!
May 13, 2026 I gave an invited speech “Foundation models for ECG classification” at the WASP WARA AI Trics workshop.
Mar 15, 2026 We have released PlotyMyECG (pmecg), a Python package for plotting paper-like ECGs.
Nov 11, 2025 Yay! I won the AI-assisted workflow coding hackathon, toghether with my teammates Robin Hollifeldt, Alireza Haddadi, and Ali Semi Yenimol.
May 08, 2025 Our Extended Abstract From System Identification to sequence models: a primer on Structured State-Space Models will be presented at Reglermöte 2025 (June 12, Lund, Sweden). See this page for more details
Nov 15, 2024 On December 5 I will give a seminar at KTH, Division of Decision and Control Systems, entitled “Learning stable Recurrent Neural Networks for model predictive control.” Some resources on this talk can be found at this link.
Aug 27, 2024 From October 2024 to January 2025, I will be co-responsible of the PhD course Model Predictive Control: Towards Frontier Applications in Learning and Control at Uppsala University. More information on the course website.
Aug 26, 2024 From September 30 to October 2, I will participate in ERNSI Workshop 2024, and present the poster Structured state-space models are deep Wiener models. See you there!
May 28, 2024 On May 31 I will give a seminar at EPFL entitled “Learning stable Recurrent Neural Networks for model predictive control.” Some resources on this talk can be found at this link.
May 15, 2024 Our paper On the equivalence of direct and indirect data-driven predictive control approaches has been accepted for publication at the IEEE Control Systems Letters!
Mar 27, 2024 The article Structured state-space models are deep Wiener models has been accepted for the 20th System Identification Symposium (SYSID 2024)!
Nov 01, 2023 The paper Nonlinear MPC design for incrementally ISS systems with application to GRU networks has been published on Automatica, and it is available on publisher’s website.
Aug 15, 2023 I am honored to announce that I received the Dimitris N. Chorafas PhD Award.
Jul 03, 2023 The paper Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models has been published on the International Journal of Robust and Nonlinear Control. The article is available in open access at the publisher website.
Jun 19, 2023 On June 19, 2023, I started my position as a Postdoctoral Researcher in Machine Learning for Control at Uppsala University, Sweden, in the Systems and Control Division. During this activity I will collaborate with Prof. Thomas Schön and Prof. Per Mattsson.
Jun 15, 2023 Our paper Deep Long-Short Term Memory networks: Stability properties and Experimental validation has bee presented at the 2023 European Control Conference (ECC23). The manuscript is available on IEEE Xplore.
Feb 24, 2023 On February 14, 2023, I defended my PhD thesis, entitled Reconciling deep learning and control theory: recurrent neural networks for model-based control design (supervisor: Prof. Riccardo Scattolini, co-supervisor: Prof. Marcello Farina). More information on my doctoral dissertation can be found on the related page.
May 10, 2022 The paper On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments has been accepted at the Elsevier Journal of Process Control. The published version is now available on publisher’s website.
Mar 15, 2022 The paper Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems has been accepted at the Elsevier European Journal of Control. The published version is now available on publisher’s website.
Jan 13, 2022 I joined the ELO-X program as an Associate Ph.D. Fellow.
Nov 29, 2021 The preprint of our latest paper, entitled On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments, is now available on arXiv.
Oct 09, 2021 The paper On the stability properties of Gated Recurrent Units neural networks has been published in Elsevier Systems & Control Letters. If you are interested in the article, you can get a free copy using this author share link or via arXiv.
Sep 15, 2021 I presented my paper Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks at MICNON 2021.
Aug 26, 2021 I started my abroad Research Stay at Uppsala University, Sweden, joining the research group of Prof. Thomas Schön.
Jul 16, 2021 I have been awarded with the IFAC Young Author Award for the paper Stability of discrete-time feed-forward neural networks in NARX configuration, presented at SYSID 2021.
Jan 15, 2016 A simple inline announcement with Markdown emoji! :sparkles: :smile:
Nov 07, 2015 A long announcement with details
Oct 22, 2015 A simple inline announcement.