PhD students of Cycle XXXVII(Nov 2021 - Oct 2024)

Computer Engineering and Science Curriculum

Pict. Name Tutor Research Topic Profile Training Path

Amoroso Roberto

Prof. Rita CucchiaraTrustworthy self-attentive models for visual-semantic understanding
  • Admitted with Scholarship
  • Mobility: Ludwig-Maximilians-Universität (Germania) from 01/06/2023 to 30/11/2023
Academic

Baraldi Andrea

Prof. Francesco GuerraIntelligent Techniques and Natural Language Processing for (Explainable) Data Integration
  • Admitted with Scholarship
Academic

Bonicelli Lorenzo

Prof. Simone CalderaraFew shot and zero shot continual learning
  • Admitted with Scholarship
Academic

Bonisoli Giovanni

Prof. Laura Po
Cotutor: Federica Rollo
Deep learning for Event Extraction from Web Data Streams
  • Admitted with Scholarship
  • Mobility: Università di La Coruña (Spagna) - prof. Miguel Ángel ALONSO PARDO from 27/09/2023 to 27/05/2024
Academic

Ning Mang*

Prof. Rita CucchiaraObject and People Recognition for Personalized Interaction
  • Admitted with Scholarship
  • Retired on 1/11/2022
Academic

Niyati Rawal

Prof. Rita CucchiaraIntegration of vision and language for human-robot interaction
  • Admitted with Scholarship
Academic

Electronics and Telecommunications Curriculum

Pict. Name Tutor Research Topic Profile Training Path

Di Pinto Valentina

Prof. Luigi RovatiOptoelectronic sensors for biomedical instrumentation: theoretical and experimental studies
  • Scholarship from 15/02/2024
Academic

Galstyan Vardan

Prof. Luigi RovatiSmart Sensors based on Nanomaterials for advanced Monitoring and Diagnostics
    Academic

    Guiducci Alessandro

    Prof. Giovanni FranceschiniHigh reliability and High efficiency electric motor drives for green transportation applications
    • Admitted with Scholarship
    • Mobility: Newcastle, UK from 22/01/2023 to 23/07/2023
    Academic

    Industrial applications of ICT

    Pict. Name Tutor Research Topic Profile Training Path

    Aslam Adeel

    Prof. Giovanni Simonini
    Cotutor: Prof. Sonia Bergamaschi
    Big Data and Artificial Intelligence for Energetic Virtuosity in Local Energy Communities
    • Admitted with Scholarship
    • Mobility: Technische Universität Berlin (Germania) from 15/10/2022 to 15/12/2022
    Academic

    Benaglia Riccardo

    Prof. Simone CalderaraGraph neural networks for structured time series prediction in industrial application- Grant by Ammagamma
    • Corporate employee at Ammagamma Srl
    Industrial

    Braglia Giovanni

    Prof. Luigi BiagiottiMethods for a novel collaborative robotics: from programming to human skills transfer-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    - Ideativa
    • Admitted with Scholarship
    Industrial

    Burgoni Marco

    Prof. Luigi BiagiottiPredictive methods for the control of cogeneration plant- Grant by CPL Concordia Soc. Coop
    • Corporate employee at CPL Concordia Soc.Coop
    Industrial

    Calandrini Guilherme *

    Prof. Giacomo CabriSmart AI for a Sustainble Industry 4.0 Transition-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    -
    • Admitted with Scholarship
    • Retired on 01/11/2021
    Industrial

    Casari Martina

    Prof. Laura PoArtificial intelligence techniques to tackle urban air pollution-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    - Wiseair S.r.l.
    • Admitted with Scholarship
    Industrial

    De Sabbata Giulio

    Prof. Giovanni Simonini
    Cotutor: Prof. Sonia Bergamaschi
    Data-centric AI, Big Data, Data Integration, Energy data, Process optimization-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    - Datariver
    • Admitted with Scholarship
    Industrial

    Di Piano Ambra

    Prof. Domenico BeneventanoDeep learning in real-time on the astrophysical data obtained from the Cerenkov CTA Observatory-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    - INAF - Osservatorio di Astrofisica e Scienza dello Spazio Bologna
    • Admitted with Scholarship
    Industrial

    Fincato Matteo

    Prof. Roberto Vezzani3D Human pose estimation in industrial environments- Grant by DIEF Department [thanks to Toyota Motors Europe]- prof. Vezzani
    • Admitted with Scholarship
    Academic

    Frascaroli Emanuele

    Prof. Simone CalderaraGraph neural networks for structured time series prediction in industrial application- Grant by Ammagamma
    • Admitted with Scholarship
    Academic

    Giannotta Nicola

    Prof. Giovanni FranceschiniHigh Performance rare earth free Electric Motors for a sustainable and greener agriculture-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    - Emak Group S.p.A.
    • Admitted with Scholarship
    Industrial

    Giovanetti Anita

    Prof. Costantino GranaDigital Transformation and Machine Learning applied to Public Healthcare
    • Corporate employee at Miliaris Srl
    Industrial

    Goldoni Daniele

    Prof. Luigi RovatiAdvanced integrated electronic biosensensors for nanoscale entity detection-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    - Tecnopolo Marco Veronesi Fondazione Democenter
    • Admitted with Scholarship
    Industrial

    Mancusi Gianluca

    Prof. Simone CalderaraDeep learning for Multiple Object Tracking and 3D
    • Admitted with Scholarship
    Academic

    Mirabella Michele

    Prof. Giorgio Matteo Vitetta
    Cotutor: Pasquale Di Viesti
    Vehicle-to-everything (V2X) Communications for Green and Reliable Intelligent Transportation Systems – Comunicazioni veicolari per sistemi di trasporto intelligenti, verdi ed affidabili-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    - CNH Italia
    • Admitted with Scholarship
    Industrial

    Notari Riccardo

    Prof. Davide BaraterDesign of High efficiency and sustainability oriented electrical machines-
    D.M. n. 1061 Dottorati di ricerca su tematiche green e dell’innovazione: nuove risorse dal PON Ricerca e Innovazione 14-20: D.M. n. 1061 del 10-8-2021
    - Added Scienetific Ltd
    • Admitted with Scholarship
    • Mobility: University of Nottingham (Inghilterra) from 01/06/2023 to 30/11/2023
      University of Nottingham (Inghilterra) from 04/12/2023 to 31/05/2024
    Industrial

    Perliti Scorzoni Paolo

    Prof. Costantino GranaDigital Transformation and Machine Learning applied to Public Healthcare
    • Corporate employee at Miliaris Srl
    Industrial

    Righi Stefano

    Prof. Luca VincettiEMI characterization of power unit conversion stages for E-mobility
    • Alto Apprendistato
    Industrial

    Vega Parra Stephanie *

    Prof. Laura Po
    • Admitted with Scholarship
    • Retired on 1/1/2022
    Industrial