PhD students of Cycle 33

Computer Engineering and Science Curriculum

Name Tutor Research Topic Scholarship Mobility

Paganelli Matteo(email)

Prof. Francesco GuerraIntegration of large and open datasetsX

Fabbri Matteo(email)

Prof. Rita CucchiaraHuman Behavior Understanding by Computer Vision in the Deep Learning EraPANASONIC SILICON VALLEY LAB (USA) from 11/02/2019 to 11/02/2020

Parmiggiani Nicolò(email)

Prof. Domenico Beneventano
Ing. Andrea Bulgarelli (INAF)
Data management for astronomical data and science alerts

Electronics and Telecommunications Curriculum

Name Tutor Research Topic Scholarship Mobility

Zagni Nicolò(email)

Prof. Paolo PavanCharacterization of electronic properties of new materials for innovative devices (non-volatile memories, high speed transistors, neuromorphic devices)XPURDUE UNIVERSITY, INDIANA (USA) from 01/04/2018 to 30/09/2018
PURDUE UNIVERSITY, INDIANA (USA) from 01/03/2019 to 27/08/2019

Industrial applications of ICT

Name Tutor Research Topic Scholarship Mobility

Bergamini Luca(email)

Prof. Simone CalderaraMachine Learning for analysis and recognition of livestock in the wild. - Grant by Farm4Trade srlXUniversity of Edinburgh, Prof. Robert Fisher from 01/04/2019 to 30/09/2019

Salierno Giulio(email)

Prof. Letizia Leonardi
Cotutor: Nicola Bicocchi
Innovative Signaling Application based on usage of formal/semiformal methods - Grant by Alstom BolognaXShanghai Polytechnic University - Prof. Yuewei Bai from 15/09/2018 to 14/12/2018

Grazioli Filippo*

Prof. Roberto VezzaniComputer Vision and Artificial Intelligence for HMI and autonomous driving in automotive - Grant by Ferrari SpAX

Bombarda Davide(email)

Prof. Giorgio Matteo Vitetta
Ing. Giovanni Ferrante (Alstom)
SoC usage in railway signalling applications - Grant by Alstom BolognaX

Morrone Giovanni(email)
(dottorando del dottorato "Enzo Ferrari" in Industrial and Environmental Engineering- scuola E4E)

Prof. Sonia Bergamaschi
Dr. Leonardo Badino (Speech and Communication Team - Center for Translational Neurophysiology, Ferrara)
Deep Learning for Audio-Visual Speech Enhancement and Separation