PhD students and Research theses

On average, the program enrolls 10-15 candidates per year. Research topics cover a wide range of AI and data science applications, with projects spanning machine learning in healthcare to data analysis for smart cities. Supervisors are assigned based on expertise and research interests.

  • EDITH NATALIA VILLEGAS GARCIA

  • MATHEUS CAMILO DA SILVA

  • DAVIDE BASSO

  • ANDREA BERTOLINI

  • LUCREZIA VALERIANI

  • LEONARDO GALLIANO

  • LORENZO BONIN

  • FRANCESCO GIACOMARRA

  • TOMMASO RODANI

  • MILTON NICOLAS PLASENCIA PALACIOS

  • LEONARDO ARRIGHI

  • VALENTINA BLASONE

  • DAVIDE SCASSOLA

  • IRENE FERFOGLIA

  • ALBERTO GHEDIN

  • ELENA BUSCAROLI

  • MAURO GIUFFRÈ

  • MICHELE RISPOLI

  • ALBERTO LUVISUTTO

  • UMBERTO DI LAUDO

  • GIOVANNI SANTACATTERINA

  • ANDREA MECCHINA

  • ILARIA VASCOTTO

  • AMIN GINO FABBRUCCI BARBAGLI

  • LUCA PELLIZZONI

  • LEA ANNA COZZUCOLI

  • SARA GEREMIA

  • LUCA PENNELLA

  • GIOVANNI PINNA

  • TOMISLAV ŠUBIĆ

  • KENZA BENJELLOUN

  • EMANUELE BALLARIN

  • EMANUELE GOSAMO

    Self-training and Context-Adaptive Prediction Models for Agronomic and Phytosanitary Risk

    Supervisor:

    FRANCESCO PAULI

  • LUIS GERARDO LEON VEGA

  • FEDERICO BARONE

    From Sequences to Structures: Large Scale Protein Domain Classification by Density Peaks Clustering

    Supervisor:

    ALBERTO CAZZANIGA

    ALESSIO ANSUINI

  • PAOLO DALENA

  • GIORGIA GANDOLFI

  • GIULIA ZAMAGNI

  • CARLOS ENMANUEL SOTO LÓPEZ

  • HANAN AWAD HASSAN ALI

  • ERISELD KRASNIQI

  • VIRGINIA ANNA GAZZIERO

  • ADNAN ELAHI

  • SHEIKH BADAR UD DIN TAHIR

  • PIERLUIGI MASAI

  • DAMIANO RAVALICO

  • LORENZO CARTA

  • MATTEO GALLO

  • SARA COCOMELLO

  • ELENA RIVAROLI

  • AHMADALI JAMALI

  • ISAC PASIANOTTO

  • FREDERICO JOSÉ JÁCOME DE BRITO SANTOS

  • LORENZO CABRIEL

  • MOTOGNON WASTALAS D'ASSISE DOGBALOU

  • KALEAB YARED DEBELLA

  • TERESA TONELLI

  • MAURICIO SALGUERO GASPAR

  • LIONEL RANDALL KHARKRANG

  • KEN TANAKA HERNANDEZ

  • FULVIO VASCOTTO

  • ZEVICK OTIENO JUMA

  • HENOCK YARED DEMESSIE

  • ROMINA DOZ

  • NICCOLÒ TOSATO

  • NICHOLAS ANDREA PEARSON

  • STEFANO CAMPANELLA

  • YURI GARDINAZZI

  • FRANCESCO TOMBA

  • AZAD SADR HAGHIGHI

  • WEIWEI LIU

  • GIOVANNI CHIECO

  • MICHELE MATTEUCCI

  • FRANCESCO ORTU

  • MICHEL EL SALIBY

  • DAVIDE TUGNOLI

  • SARA CANDUSSIO

  • MICHELE ALESSI

  • BERFIN SAKALLIOGLU

  • LORENZO BASILE

    A Representation Learning Perspective on some Emergent Properties of Neural Networks

    Supervisor:

    LUCA BORTOLUSSI

  • FEDERICO JULIAN CAMEROTA VERDÙ

    Scaling Combinatorial Optimization Neural Improvement Heuristics with Online Search and Adaptation

    Supervisor:

    LORENZO CASTELLI

    LUCA BORTOLUSSI

  • LUIGI ROVITO

    Genetic Programming Across Domains: Leveraging Evolutionary Computation to Address Practical Problems

    Supervisor:

    ANDREA DE LORENZO

  • GIORGIA NADIZAR

    Towards Bio-Inspired Interpretable Embodied Artificial Intelligence

    Supervisor:

    ERIC MEDVET

    STEFANO NICHELE

  • ALICE ANTONELLO

    Timing the onset of therapy resistance after Allo-HSCT in AML using Bayesian inference

    Supervisor:

    GIULIO CARAVAGNA

    RICCARDO BERGAMIN

  • ARIANNA TASCIOTTI

    Superspreading dynamics in epidemics: a deep learning and Bayesian inference framework for detection and characterization

    Supervisor:

    GIULIO CARAVAGNA

    FEDERICA DE DEA

    ALBERTO D'ONOFRIO

  • GIOVANNI BAJ

    Machine learning applications in cardiology

    Supervisor:

    ARJUNA SCAGNETTO

    LUCA BORTOLUSSI

    GIULIA BARBATI

  • FABIO MOREA

    Community Detection in Complex Networks: limitations and novel approaches to enhance solution stability

    Supervisor:

    DOMENICO DE STEFANO