PhD students of Cycle XXXIV   (Nov 2018 - Oct 2021)

Computer Engineering and Science Curriculum

Pict. Name Tutor Research Topic Profile/Notes

Pini Stefano

Prof. Rita CucchiaraComputer Vision and Artificial Intelligence for Automotive applications

Admitted with Scholarship

Pollastri Federico

Prof. Costantino GranaDeep learning techniques for skin lesion analysis and automated diagnosis systems

Admitted with Scholarship

Rollo Federica

Prof. Laura PoBig Data Analytics in a Sustainable Smart City

Mobility: National University of IRELAND GALWAY (virtual visiting) from 01/02/2021 to 31/10/2021

Electronics and Telecommunications Curriculum

Pict. Name Tutor Research Topic Profile/Notes

Brandalise Denis

Prof. Luca SelmiSimulation and Characterization of Massively Parallel Electronic Sensing Nano-Devices for the Internet of Things / Internet of Health

Admitted with Scholarship

Pintori Luca

Prof. Luigi RovatiNew sensors and electronics for optimal air/gas ratio control for future gas appliances

Zanotti Tommaso

Prof. Francesco Maria PuglisiInnovative Architectures for Low-Power Computing and Applications

Admitted with Scholarship

Industrial applications of ICT

Pict. Name Tutor Research Topic Profile/Notes

Porrello Angelo

Prof. Simone CalderaraStructured deep learning techniques and application for the future farm - Grant by farm4trade

Admitted with Scholarship

Del Negro Ercole

Prof. Simone CalderaraDeep learning deployment in the future farm - Grant by farm4trade

Admitted with Scholarship

Tomei Matteo

Prof. Rita CucchiaraMultimedia and Deep Learning technologies for Video Understanding - Grant by Metaliquid

Admitted with Scholarship

Tebaldi Davide

Prof. Laura GiarrèModeling and Control of Mechatronic Systems

Admitted with Scholarship

Dottorando del dottorato "Enzo Ferrari" in Industrial and Environmental Engineering- scuola E4E

Alsini Mario*

Prof. Sonia BergamaschiArtificial Conversational Entity (Chatbot)

Retired on 1/11/2020

Landi Federico

Prof. Rita CucchiaraMultimedia Data Learning: Processing, Understanding, Retrieval by new Deep Learning paradigms - Grant by Fondo Sociale Europeo PO 2014-2020 Regione Emilia-Romagna

Admitted with Scholarship
Fondo Sociale Europeo PO 2014-2020 Regione Emilia-Romagna