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PhD Students

PhD students of Cycle XXXIX(Nov 2023 - Oct 2026)

Computer Engineering and Science Curriculum

Pict.	Name	Tutor	Research Topic	Profile	Training Path
	Caffagni Davide	Prof. Rita Cucchiara	Computer Vision and Natural Language Processing Technologies for Analysis and Understanding of Cultural and Historical Archives	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Gambigliani Zoccoli Giovanni	Prof. Mirco Marchetti	Cybersecurity for Cyber-Physical systems	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Marchesini Kevin	Prof. Costantino Grana	Deep Learning techniques and multimodal learning in Biomedical Sciences and Medical Robotics	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Miccolis Francesca	Prof. Elisa Ficarra	Multimodal integration for molecular and imaging data	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Rossi Daniel	Prof. Roberto Vezzani	Computer Vision and IoT for Human Robot Interaction	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Sullutrone Giovanni	Prof. Sonia Bergamaschi	Exploring the Potential of Large Language Models for Multilingual Historical Document Analysis and Semantic Cataloguing in Digital Libraries	Admitted with Scholarship Scholarship from 01/11/2023	Academic

Electronics and Telecommunications Curriculum

Pict.	Name	Tutor	Research Topic	Profile	Training Path
	Andreani Mattia	Prof. Maria Luisa Merani	Next Generation of Connected Vehicles		Academic
	Capitanio Alessandro	Prof. Giovanni Franceschini	Diagnosis and Control of IPM Motors based on quantum sensors		Academic
	Modica Lorenzo	Prof. Alessandro Chini	Wide-bandgap based devices for efficient power conversion - Grant by	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Nicolini Jacopo	Prof. Luca Selmi	Development of hardware platforms and simulation tools for label free biosensing based on micro- and nano-electronic devices and circuits	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Pasquinucci Federico	Prof. Maria Luisa Merani	Next Generation of Connected Vehicles	Admitted with Scholarship Scholarship from 01/11/2023	Academic

Industrial applications of ICT

Pict.	Name	Tutor	Research Topic	Profile	Training Path
	Benassi Riccardo	Prof. Francesco Guerra	Integrating NLP and Data-driven Techniques for Intelligent text analytics - Grant by DM118 -	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Bernardi Mattia	Prof. Simone Calderara	Supervised and self supervised AI and deep learning for animal analysis - Grant by DM117 with Farm4Trade srl	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Buzzega Pietro	Prof. Simone Calderara	Continual Knowledge transfer across different deep learning architectural paradigms - Grant by DM117 with Deep Vision Consulting	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Contalbo Michele Luca	Prof. Francesco Guerra	Integrating NLP and Data-driven Techniques for Intelligent text analytics		Academic
	Filippini Gianluca	Prof. Roberto Vezzani	Deep Learning for the localization of audio-visual sources		Academic
	Fiorini Cosimo	Prof. Simone Calderara	Resilient continual learning with attention based architectures		Academic
	Gallerani Alessia	Prof. Luigi Rovati	Innovative sensor development for biomedical applications	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Genzardi Dario	Prof. Federico Tramarin	AI-IoT monitoring system based on a collaborative sensor platform for quality monitoring along the food production chain		Academic
	Mosconi Matteo	Prof. Simone Calderara	Continual Supervised and self supervised Learning applied to image and video analysis - Grant by DM117 with Leonardo	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Quattromini Nicolò Federico	Prof. Davide Barater	More-electric tractors for a more sustainable agriculture - Grant by DM117 with CNH INDUSTRIAL ITALIA S.P.A.	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Salami Riccardo	Prof. Simone Calderara	Continual Federated Learning for industry - Grant by DM117 with Tetrapak	Admitted with Scholarship Scholarship from 01/11/2023	Academic
	Verasani Mattia	Prof. Simone Calderara	Efficient training of Deep Learning architecture for industry		Academic