In this episode, our guest is Alessandro Chiuso. Alessandro is a Professor in the Department of Information Engineering at the University of Padova. The episode covers several topics, including Alessandro’s research trajectory, his work in system identification and vision, and his passion for skiing. Check out Alessandro’s website here: http://automatica.dei.unipd.it/people/chiuso.html

Outline00:00 - Intro
01:51 - Research trajectory
03:52 - Influential figures
08:20 - System identification
17:07 - Regularized system identification
23:30 - Vision
28:40 - Data-driven methods
30:32 - Future of system identification
33:40 - Question from the audience
34:19 - Advice to future students
35:50 - Skiing at a semi-professional level

Episode linksGiorgio Picci's website: http://www.dei.unipd.it/~picci/
Stefano Soatto's website: http://web.cs.ucla.edu/~soatto/
ERNSI: https://people.kth.se/~bo/ERNSI/
System identification: https://en.wikipedia.org/wiki/System_identification
Regularized system identification: https://tinyurl.com/yc7b7myt
Origin of “regularization”: https://tinyurl.com/y4jmk75f
Hirotugu Akaike: https://en.wikipedia.org/wiki/Hirotugu_Akaike
Structure from motion: https://tinyurl.com/35canfnx
Dynamic textures: https://tinyurl.com/28bdwhwm
Skiing: https://tinyurl.com/2p8xzau6

Podcast infoPodcast website: https://www.incontrolpodcast.com/
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Patreon: https://www.patreon.com/incontrolpodcast/

Acknowledgments and sponsorsThis episode was supported by the National Centre of Competence in Research on «Dependable, ubiquitous automation», which you can check here: https://nccr-automation.ch/nccr-automation

The podcast benefits from the help of an incredibly talented and passionate team. Special thanks to A. Bastani, B. Sawicki, E. Cahard, F. Banis, F. Dörfler, J. Lygeros, ETH studio (P. Zumbrunnen), and mirrorlake studio (R. Frischknecht). The support of the Swiss National Science Foundation is also gratefully acknowledged.

Music was composed by A New Element.

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