Algebra
Analisi Matematica
Informatica - Artificial Intelligence
M.O.D.A.L. Mathematical mOdelling and Data Analysys – Informatica – Artificial Intelligence
Responsabile Scientifico: Prof. Francesco Piccialli
- Metodologie, Architetture ed Applicazioni di Machine e Deep Learning: F. Piccialli
- Scientific Machine Learning: S. Cuomo, F. Piccialli
- Mathematics for Data Science: S. Cuomo
- Metodologie ed algoritmi di Federated Learning: F. Piccialli
Progetto di Ricerca Finanziati:
- G.A.N.D.A.L.F – Gan Approaches for Non-iiD Aiding Learning in Federations, PRIN 2022, 2023 – 2025
- D.I.R.E.C.T.I.O.N.S. – Deep learning aIded foReshock deteCTIOn Of iNduced mainShocks, PRIN PNRR 2022, 2023 – 2025
- C.L.A.I.M. – Artificial Intelligence for Competences and Learning, Programma Erasmus+, KA220-VET, Unione Europea, 2023 – 2025
- Future Artificial Intelligence Research – F.A.I.R., PNRR Recovery Plan, Partenariato Esteso sull’Intelligenza Artificiale, 2023 – 2026
- CN1 – National Centre for HPC, Big Data and Quantum Computing, Spoke 9 – Digital Society & Smart Cities, PNRR Recovery Plan, 2022 – 2025
- Deep-Learning-aided GPC-IR fingerprinting of complex polyolefin mixtures (DL-PO), DUTCH POLYMER INSTITUTE, 2023 – 2026
- ELIXIR x NextGenerationIT, PNRR – Rafforzamento e creazione di IR nell’ambito del Piano Nazionale di Ripresa e Resilienza (PNRR) 2022 – 2025
- 4I – Mixed Reality, Machine Learning, Gamification and Educational for Industry – M.I.S.E. – Fabbrica Intelligente, HORIZO 2020, 2021-2023.
- BIOCHIP – Intelligent biosensors based on chimeric proteins, F.R.A – Finanziamento Ricerca di Ateneo, 2021-2023
- C.E.T.R.A – Cultural Equipment with Transmedial Recommendation Analytics – POR CAMPANIA FESR 2014-2020;
- CUP-i-ONE – Cup in One Click – POR CAMPANIA FESR 2014-2020;
- C.H.I.S – Cultural Heritage Information System – PON03PE_00099_1 – PON R&C – 2014-2017