PhD students of Cycle XL(Nov 2024 - Oct 2027)

Computer Engineering and Science Curriculum

Pict.	Name	Tutor	Research Topic	Profile	Training Path
	Bertaina Samuele	Prof. Simone Calderara			Academic
	Burzio Alessandro	Prof. Rita Cucchiara Cotutor: Prof. Laura Leal-Taixe			Academic
	Candeloro Ettore	Prof. Costantino Grana Cotutor: Federico Bolelli			Academic
	Galli Dimitri	Prof. Mirco Marchetti			Academic
	Morandi Riccardo	Prof. Nicola Bicocchi Cotutor: Prof. Marco Picone			Academic
	Rinaldi Filippo	Prof. Simone Calderara	Modular Deep Learning, model merging and task arithmetic		Academic
	Valgimigli Filip	Prof. Mirco Marchetti			Academic
	Zelelew Yibeltal Assefa	Prof. Costantino Grana	Deep learning for renal pathology prognosis prediction - Grant from project FutureData4EU		Academic
	Zini Leonardo	Lorenzo Baraldi	Modular Deep Learning, model merging and task arithmetic		Academic

Electronics and Telecommunications Curriculum

Pict.	Name	Tutor	Research Topic	Profile	Training Path
	Biagi Federico	Prof. Luigi Biagiotti	Multimodal Control of Robotic Systems Based on Vocal, Visual, and Force Interaction		Academic
	Mancini Marianna	Prof. Davide Barater Cotutor: Prof. Giovanni Franceschini	Power converter architecture for vehicle to grid integration - Grant from project		Academic
	Nisar Areena	Prof. Giorgio Matteo Vitetta Cotutor: Pasquale Di Viesti	Radar sensing for extended targets		Academic
	Silenzi Simone	Prof. Luigi Biagiotti			Academic
	Travagliati Simone	Prof. Maria Luisa Merani	Federated Learning for the Protection of Vulnerable Road Users		Academic

Industrial applications of ICT

Pict.	Name	Tutor	Research Topic	Profile	Training Path
	Cappelletti Silvia	Prof. Rita Cucchiara	Large-Scale Multimodal and Trustworthy Learning for Companies and Public Administration		Academic
	Del Gaudio Livia	Prof. Rita Cucchiara Cotutor: Vittorio Cuculo	Automatic Cataplexy Detection through Video Analysis		Academic
	Gambelli Francesco	Prof. Davide Barater Cotutor: Stefano Nuzzo	Highly efficient controls of Electric drives for transportation electrification - Grant from project		Academic
	Malaguti Giovanni	Prof. Giovanni Simonini Cotutor: Prof. Sonia Bergamaschi	Big Data methodologies for Large Language and Machine Learning Models: Querying and understanding Tables through Machine Learning- Grant by Leonardo SpA		Academic
	Pederzoli Sara	Prof. Francesco Guerra Francesco Del Buono	Development of Large Language Models for Intrinsic Business Value Analysis Based on Multimodal Data - Grant by DM 630/2024, Mission 4, Component 2, Investment 3.3 for research activities at ONE T S.r.l.		Academic
	Puccio Gabriele	Stefano Nuzzo Cotutor: Prof. Davide Barater	Highly efficient motor drives for green transportation applications		Academic
	Qutab Irfan	Prof. Laura Po			Academic
	Salici Giacomo	Prof. Simone Calderara Cotutor: Prof. Roberto Vezzani	Deep learning for multi modal time series analysis in anomaly detection and predictive maintenance applications		Academic
	Santi Riccardo	Prof. Simone Calderara Cotutor: Angelo Porrello	Federated and continual learning for privacy oriented efficient learning systems with application in industry and healthcare		Academic
	Turri Evelyn	Prof. Rita Cucchiara Cotutor: Lorenzo Baraldi	Large-Scale Multimodal and Trustworthy Learning for Companies and Public Administration		Academic