Podcast: inControl
Erschienen: 12.07.2022
Dauer: 00:38:31
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 trajectory03:52 - Influential figures 08:20 - System identification17:07 - Regularized system identification 23:30 - Vision28:40 - Data-driven methods30:32 - Future of system identification33:40 - Question from the audience34:19 - Advice to future students35:50 - Skiing at a semi-professional levelEpisode 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_identificationRegularized system identification: https://tinyurl.com/yc7b7mytOrigin of “regularization”: https://tinyurl.com/y4jmk75fHirotugu Akaike: https://en.wikipedia.org/wiki/Hirotugu_AkaikeStructure from motion: https://tinyurl.com/35canfnxDynamic textures: https://tinyurl.com/28bdwhwmSkiing: https://tinyurl.com/2p8xzau6Podcast infoPodcast website: https://www.incontrolpodcast.com/Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwfRSS: https://feeds.buzzsprout.com/1632769.rssYoutube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featuredFacebook: https://www.facebook.com/InControl-podcast-114303337936834Twitter: https://twitter.com/IncontrolPInstagram: https://www.instagram.com/incontrol_podcast/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-automationThe 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.Support the show
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