ep 4 - Alessandro Chiuso
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Description
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 Outline 00:00 - 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 links Giorgio 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 info Podcast website: https://www.incontrolpodcast.com/ Apple Podcasts: https://podcasts.apple.com/us/podcast/incontrol/id1624068002 Spotify: https://open.spotify.com/show/7dZvt77XNtHxyrFqM8YTwf RSS: https://feeds.buzzsprout.com/1632769.rss Youtube: https://www.youtube.com/channel/UCl83hwBSVRLYj2NWS08P9bg/featured Facebook: https://www.facebook.com/InControl-podcast-114303337936834 Twitter: https://twitter.com/IncontrolP Instagram: https://www.instagram.com/incontrol_podcast/ Patreon: https://www.patreon.com/incontrolpodcast/ Acknowledgments and sponsors This 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. Support the show
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