TL;DR 👇

I do research and all kinds of no-profit promotional activities on machine learning.

🏭 Ongoing industrial research projects

  • Scientific director, 6-months industrial research project with IPTSAT on feasibility and usability of Copernicus services (2024-2025).
  • Scientific director, 36-months research convention with Consorzio Interuniversitario Nazionale per l’Informatica on deep learning for audio processing (2022, renewed 2023-2024, ongoing).
  • Collaboration protocol with Parco Archeologico del Colosseo (6 months) on artificial intelligence for plant identification (2023). đź“° What the press says: Agenzia Spaziale Italiana | Finestre sull’Arte | La Sicilia

🔬 Ongoing academic research projects

  • PI, Sapienza Progetti di Ricerca Grandi, CENTS: A Cost-adaptivE Neural neTwork framework for Semantic communication (2024-2026).
  • Task Leader, Horizon Europe Framework Programme (HORIZON-JU-SNS-2023), 6G Goal-Oriented AI-Enabled Learning and Semantic Communication Networks (2024-2026), PI Prof. Paolo Di Lorenzo.
  • Local unit PI, PRIN 2022, CLASSICS. Codices Latini Antiquiores’ Supplements: Scripts In-depth through Computer Sciences, 2025-2027.
  • WP Leader, Research Council of Norway, Relational Deep Learning for Energy Analytics (RELAY) (2024-2027).
  • PI, Sapienza Progetti di Ricerca Medi, DESMOS: DEsigning Self-explainable AI MOdels for Scientific applications (2023).
  • Co-investigator, CHIST-ERA 2019 Project, Multi-disciplinary Use Cases for Convergent new Approaches to AI explainability (MUCCA), PI Prof. Stefano Giagu (2021-2023, ongoing).
  • Member, NeuroAI_Boost (Approcci computazionali avanzati per lo sviluppo di sistemi di Intelligenza Artificiale neuro-ispirati), “Sapienza-Rome Technopole per l’internazionalizzazione della ricerca”, Linea di finanziamento 2 (“Proof of Concept”).
  • Member, Sapienza Progetti di Ricerca Medi 2021, FedSSL: Federated Self-supervised Learning with applications to Automatic Health Diagnosis, PI Prof. Fabrizio Silvesti (2022).

🎓 Financed PhD scholarships

  • 40th cycle: Scholarship co-funded by Pi School and PNRR RI Sobigdata.it on “LLMs for earth observation”.
  • 39th cycle: Scholarship co-funded by NHAZCA and PNRR (DM 17/2023), on “AI models for remote sensing applications”.
  • 38th cycle: Scholarship co-financed by Translated and Regione Lazio (Dottorati di innovazione per le imprese e le PA edizione 2022) on “expressive text-to-speech synthesis”.
  • 38th cycle: Fully-funded scholarship by Leonardo Labs on “adversarial robustness in the infrared domain”.

🔶 Other

  • Participant, Sapienza Grandi Attrezzature Scientifiche 2022, Hybrid Energy Hub (HEH) for microgrids, systems and components with renewables, storage, fuel cells and electric vehicles charging stations integrated in smart buildings and energy communities (2023).
  • Participant, SoBigData.it: Strengthening the Italian RI for Social Mining and Big Data Analytics, PNRR Infrastrutture (Rafforzamento e creazione di Infrastrutture di Ricerca).

đź“… Past industrial research projects

  • Scientific director, 9-months industrial research project with Leonardo Spa on adversarial robustness in the infrared domain (2022).
  • Scientific director, 6-months industrial research project with Vitrociset Spa (A Leonardo Company) on monocular depth estimation (2021-2022).
  • Scientific director, 6-months industrial research project with Data Prestige Srls on machine learning algorithms for maintenance activities (2021).
  • Scientific director, 6-months industrial research project with Vitrociset Spa (A Leonardo Company) on pedestrian attribute recognition from video feeds (2020-2021).
  • Scientific director, 6-months industrial research project with DeepLab Srl on interpetable machine learning algorithms for credit scoring in the context of SMEs (2020).
  • Participant, industrial research project with Sympas Srl on language identification, scientific director Prof. Michele Scarpiniti (2016).
  • Participant, industrial research project with INTECS SpA on microphone arrays, scientific directors Prof. Michele Scarpiniti, Prof. Tullio Bucciarelli (2012-2015).

📆 Past academic research projects

  • Member, Sapienza Progetti di Ricerca Piccoli 2020, Detection of urothelial cancer cells using deep convolutional neural networks, PI Prof. Enrico Giarnieri (2020-2021).
  • Member, Sapienza Progetti di Ricerca Grandi 2019, HYD3A: Hypercomplex Deep Learning for 3D Audio Analysis, PI Prof. Danilo Comminiello (2020-2021).
  • Member, Sapienza Progetti di Ricerca Grandi 2018, SoFT: Fog of Social IoT, PI Prof. Enzo Baccarelli (2018, concluded).
  • Member, Sapienza Progetti di Ricerca Grandi 2017, Vehicular Fog for energy-efficient QoS mining and dissemination of multimedia Big Data streams 2 (V-Fog2), PI Prof. Michele Scarpiniti (2017, concluded).

đź“™ Collaboration protocols

  • Scientific director of the cooperation agreement between DIET Department (Sapienza) and Pedius Srl (2024-2026), in the context of activities for the Casa delle Tecnologie Emergenti.
  • Scientific director of the cooperation agreement between DIET Department (Sapienza) and Data Prestige Srls on shared deep learning research (2021-2023).
  • Scientific director of the cooperation agreement between DIET Department (Sapienza) and Ente Istituto Nazionale di Oceanografia e di Geofisica Sperimentale - OGS on machine learning analysis of geophysical data (2020-2022).
  • Scientific director of the cooperation agreement between DIET Department (Sapienza) and Vitrociset Spa (A Leonardo Company), on machine learning, deep learning, and artificial intelligence research (2020-2022).

🏆 Awards / other

  • Sapienza Mobility Call for combined PhD Projects (2020).
  • Google Faculty Award to Support Machine Learning Courses, Diversity, and Inclusion (2020).