DR nomina commissione MAT 09.pdf
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Giacomo Baggio won the IEEE Control Systems Society Roberto Tempo "*Best CDC Paper Award" for the paper*"A Framework to Control Functional Connectivity in the Human Brain", authored by T. Menara, G. Baggio, D. S. Bassett, F. Pasqualetti, presented at the IEEE Conference on Decision and Control (CDC), Nice, France, 2019.
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Giacomo Baggio won the IEEE Control Systems Letters "Outstanding Paper Award" for the paper "Data-Driven Minimum-Energy Controls for Linear Systems", authored by G. Baggio, V. Katewa, F. Pasqualetti, published on IEEE Control Systems Letters, vol. 3, no. 3, pp. 589-594, July 2019.
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Matteo Terreranand, Stefano Ghidoniwon the best paper award and the best session paper award for the paper "Real-time object detection using deep learning for helping people with visual impairments", co-authored with the former student Andrea Tramontano, and with Jacobus C. Lock (PhD student) and Nicola Bellotto (reader) from the University of Lincoln, UK. Matteo is a PhD student of the XXXIII cycle, curriculum Information Science and Technology, under the supervision of Stefano Ghidoni.
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Stefano Bonaldo (former Ph.D. student and now postdoc, DEI), together with Simone Gerardin and Alessandro Paccagnella, has received the 2019 NSREC Outstanding Student Paper Award at the Nuclear and Space Radiation Effects conference - NSREC 2019, held in San Antonio, US, for the paper entitled “Total-Ionizing-Dose Effects and Low-Frequency Noise in 16-nm InGaAs FinFETs With HfO2/Al2O3 Dielectrics”, produced through a collaboration between the RREACT group at DEI, Vanderbilt University, TN - USA, and IMEC, Belgium.
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Gloria Beraldo, Ph.D. student at DEI under the supervision of Prof. Emanuele Menegatti and prof. Luca Tonin, won the "Premio Torasso" Award - PhD student edition during the conference of the Italian Association for Artificial Intelligence, AIxIA 2020 (https://aixia2020.di.unito.it/awards/premio-pietro-torasso). The award is for the best video explaining the contribution to Artificial intelligence field in the PhD student's thesis.
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