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

Computer Engineering and Science Curriculum

Pict. Name Tutor Research Topic Profile/Notes

Pini Stefano(email)

Prof. Rita CucchiaraComputer Vision and Artificial Intelligence for Automotive applicationsAdmitted with Scholarship

Pollastri Federico(email)

Prof. Costantino GranaDeep learning techniques for skin lesion analysis and automated diagnosis systemsAdmitted with Scholarship

Rollo Federica(email)

Prof. Laura PoBig Data Analytics in a Sustainable Smart City

Electronics and Telecommunications Curriculum

Pict. Name Tutor Research Topic Profile/Notes

Brandalise Denis(email)

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

Pintori Luca(email)

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

Zanotti Tommaso(email)

Prof. Francesco Maria PuglisiInnovative Architectures for Low-Power Computing and ApplicationsAdmitted with Scholarship

Industrial applications of ICT

Pict. Name Tutor Research Topic Profile/Notes

Porrello Angelo(email)

Prof. Simone CalderaraStructured deep learning techniques and application for the future farm - Grant by farm4tradeAdmitted with Scholarship

Del Negro Ercole(email)

Prof. Simone CalderaraDeep learning deployment in the future farm - Grant by farm4tradeAdmitted with Scholarship

Tomei Matteo(email)

Prof. Rita CucchiaraMultimedia and Deep Learning technologies for Video Understanding - Grant by MetaliquidAdmitted with Scholarship

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

Prof. Laura GiarrèModeling and Control of Mechatronic SystemsAdmitted with Scholarship

Alsini Mario(email)

Prof. Sonia BergamaschiArtificial Conversational Entity (Chatbot)

Landi Federico(email)

Prof. Rita CucchiaraMultimedia Data Learning: Processing, Understanding, Retrieval by new Deep Learning paradigmsAdmitted with Scholarship