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| Titolo del progetto di ricerca in italiano | Knowledge representation and learning over topological spaces using category theory |
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| Titolo del progetto di ricerca in inglese | Knowledge representation and learning over topological spaces using category theory |
| Campo principale della ricerca | Engineering |
| Sottocampo della ricerca | Communication engineering |
| G.S.D. | 09/IINF-03 - TELECOMUNICAZIONI |
| S.S.D | IINF-03/A - Telecomunicazioni |
| Descrizione sintetica in italiano | Development of algorithms for knowledge representation using data representation on topological spaces, based on a formulation grounded in category theory and algebraic topology. Current techniques, which rely on graph-based representations, are limited to dyadic relationships. The aim of the research is to develop higher-order representations using simplicial (or cellular) complexes and cellular sheaves. The techniques developed should enable the inference of the structure of topological spaces from data and the extraction of topological invariants from these spaces, thereby guiding the design of learning architectures. The research aims to apply the developed techniques in the field of semantic communications. |
| Descrizione sintetica in inglese | Development of algorithms for knowledge representation using data representation on topological spaces, based on a formulation grounded in category theory and algebraic topology. Current techniques, which rely on graph-based representations, are limited to dyadic relationships. The aim of the research is to develop higher-order representations using simplicial (or cellular) complexes and cellular sheaves. The techniques developed should enable the inference of the structure of topological spaces from data and the extraction of topological invariants from these spaces, thereby guiding the design of learning architectures. The research aims to apply the developed techniques in the field of semantic communications. |
| Data del bando | 16/09/2024 |
| Numero di assegnazioni per anno | 1 |
| Stanziamento annuale (indicativo) | 27155 |
| Paesi in cui può essere condotta la ricerca |
Italy |
| Paesi di residenza dei candidati |
EUROPE |
| Nazionalità dei candidati |
EUROPE |
| Sito web del bando | https://web.uniroma1.it/trasparenza/bando/222610_ar-b-n-22/2024 |
| Destinatari dell'assegno di ricerca (of target group) |
Experienced researcher or 4-10 yrs (Post-Doc) |
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| Importo annuale | 27155 |
| Valuta | Euro |
| Nome dell'Ente finanziatore | Università La Sapienza |
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| Tipologia dell'Ente | Academic |
| Paese dell'Ente | Italy |
| Città | Roma |
| Codice postale | 00184 |
| Indirizzo | via eudossiana 18 |
| Sito web | https://diet.web.uniroma1.it/ |
| g.giannini@uniroma1.it | |
| Telefono | 0644585866 |
| L'assegno finanziato/cofinanziato attraverso un EU Research Framework Programme? | No |
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| Data di scadenza del bando | 16/10/2024 |
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| Come candidarsi | https://xup-diet.cloud |