Eugenio Fazio

Pubblicazioni

Titolo Pubblicato in Anno
Photorefraction Simulates Well the Plasticity of Neural Synaptic Connections Biomimetics 2024
Novel Highly Efficient Buried Gratings for Selective Coupling of SPP Waves onto Single Interfaces NANOMATERIALS 2024
Immobilization of photorefractive solitons by charge anchoring on conductive walls: publisher’s note OPTICS LETTERS 2024
Ultra-broadband interconnection between two SPP nanostrips by a photorefractive soliton waveguide OPTICS EXPRESS 2023
Solitonic Neural Network: A novel approach of Photonic Artificial Intelligence based on photorefractive solitonic waveguides EPJ Web of Conferences 2023
Realization of tuneable ultrabroadband interconnection for solitonic-plasmonic synapsis by exploiting epsilon near zero conducting oxides EPJ Web of Conferences 2023
Immobilization of photorefractive solitons by charge anchoring on conductive walls OPTICS LETTERS 2023
Design of a buried grating structure for the optimization of Surface Plasmon Polariton wave excitation at the lower interface of a metallic nanostrip SPIE-Nonlinear Optics and Applications XIII, Published 2023 2023
Novel Model Based on Artificial Neural Networks to Predict Short-Term Temperature Evolution in Museum Environment SENSORS 2022
Sigmoid type neuromorphic activation function based on saturable absorption behavior of graphene/PMMA composite for intensity modulation of surface plasmon polariton signals PLASMONICS 2022
Recognition of bio-structural anisotropy by polarization resolved imaging ELECTRONICS 2022
Episodic Memory and Information Recognition Using Solitonic Neural Networks Based on Photorefractive Plasticity APPLIED SCIENCES 2022
A Statistical Approach for A-Posteriori Deployment of Microclimate Sensors in Museums: A Case Study SENSORS 2022
Nitrogen compounds in buildings housing collections: a preliminary review II International Conference on Urban Risks (ICUR 2022) 2022
Supervised learning of soliton X-junctions in lithium niobate films on insulator OPTICS LETTERS 2022
Strategies for the deployment of microclimate sensors in spaces housing collections HERITAGE SCIENCE 2022
Optical Soliton Neural Networks Artificial Neural Networks - Recent Advances, New Perspectives and Applications 2022
Study of magnetic switch for surface plasmon-polariton circuits AIP ADVANCES 2021
Development of sol-gel based carbon ceramic electrode modified by graphene oxide - polypyrrole nanocomposite for simultaneous determination of uric acid and dopamine in presence of ascorbic acid INTERNATIONAL JOURNAL OF SCIENTIFIC ENGINEERING AND APPLIED SCIENCE 2021
Plasmonic-Solitonic Coupling Structure INTERNATIONAL JOURNAL OF SCIENTIFIC ENGINEERING AND APPLIED SCIENCE 2021

ERC

  • LS1
  • PE2_12
  • PE3_10
  • PE6_7
  • PE7_5
  • PE7_11

Interessi di ricerca

Eugenio Fazio è professore di Fisica Sperimentale presso la Facoltà di Ingegneria Civile e Industriale.

È un esperto di ottica lineare e nonlineare e laser

è un esperto di solitoni ottici spaziali che costituiscono argomento di ricerca sin dagli anni 90. Attualmente sta studiando sistemi solitonici che trasportano momento angolare orbitante. Inoltre applica i fasci solitonici come guide d’onda di volume per realizzare circuiteria fotonica a bassissime perdite di propagazione, in grado eventualmente anche di modificare configurazione secondo necessità. 

Studia sistemi di Intelligenza Artificiale completamente ottica: in particolare, si sta occupando di sistemi sia ottici sia a tecnologia ibrida ottica-plasmonica in grado di imparare, riconoscere e memorizzare informazioni. Ha realizzato tecniche hardware di machine-learning ottico, e le sta applicando nell’ambito delle psico-memorie, cioè memorie che simulano i processi di apprendimento e memorizzazione umani: memorie episodiche, procedurali e semantiche.

Si occupa anche di sensoristica ottica in ambito biologico e ambientale, per la caratterizzazione di oggetti sia di natura organica (virus, batteri, funghi, spore, ecc….) che inorganica (cristalli, compositi, plastiche ecc…) alla micro- e nano-scala.

Studia i sistemi di sicurezza laser.

Studia anche sistemi software sistemi intelligenti applicati al monitoraggio ambientale per la previsione del microclima in ambienti chiusi, come ad esempio musei o fabbriche.

 

Per coloro che fossero interessati, sono disponibili argomenti per tesi di laurea magistrale sulle tematiche descritte.

 

Per contattarmi:

Dipartimento SBAI, Via Antonio Scarpa 16, palazzina RM009

telefono: 06.4991.6543

email: eugenio.fazio@uniroma1.it

 

 

Eugenio Fazio is professor of Experimental Physics at the Faculty of Civil and Industrial Engineering.
He is an expert in linear and nonlinear optics and lasers.
he is an expert on space optical solitons which have been a topic of research since the 1990s. He is currently studying solitonic systems carrying orbiting angular momentum. Furthermore, he applies soliton beams as 3D volume waveguides to create photonic circuitry with very low propagation losses, possibly also capable of modifying the configuration as needed.
He studies completely optical Artificial Intelligence systems: in particular, he is working on both optical and hybrid optical-plasmonic technology systems capable of learning, recognizing and memorizing information. He has created optical machine-learning hardware techniques, and is applying them in the field of psycho-memories, i.e. memories that simulate human learning and memorization processes: episodic, procedural and semantic memories.
It also deals with optical sensors in the biological and environmental fields, for the characterization of objects of both organic (viruses, bacteria, fungi, spores, etc.) and inorganic (crystals, composites, plastics, etc.) nature at the micro- and nano-scales.
He studies laser safety systems.
He also studies intelligent software systems applied to environmental monitoring for predicting the microclimate in closed environments, such as museums or factories.
 
For those who are interested, topics for master's thesis on the previously described topics are available.
 
To contact me:
SBAI Department, Via Antonio Scarpa 16, building RM009
telephone: 06.4991.6543
email: eugenio.fazio@uniroma1.it

Gruppi di ricerca

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