Archivio Istituzionale della RicercaMARCHISIO, ANDREA
MARCHISIO, ANDREA
Dipartimento di Elettronica e Telecomunicazioni
098620
A Machine Learning-Based Model for Characterizing Stationary-and-Dynamic Behavior of VCSEL
2023 Khan, Ihtesham; Marchisio, Andrea; Tunesi, Lorenzo; Masood, MUHAMMAD UMAR; Ghillino, Enrico; Curri, Vittorio; Carena, Andrea; Bardella, Paolo
Automated model for characterization of VCSEL circuit-level parameters using machine learning
2023 Marchisio, Andrea; Khan, Ihtesham; Tunesi, Lorenzo; Masood, Muhammad Umar; Ghillino, Enrico; Curri, Vittorio; Carena, Andrea; Bardella, Paolo
Deep Learning-Driven Extraction of Superluminescent Diodes Parameters
2023 Marchisio, Andrea; Curri, Vittorio; Carena, Andrea; Bardella, Paolo
Machine Learning Aided Prediction of Fabrication Uncertainties in Integrated Multi-Ring Filters
2023 Tunesi, Lorenzo; Khan, Ihtesham; Masood, MUHAMMAD UMAR; Marchisio, Andrea; Ghillino, Enrico; Curri, Vittorio; Carena, Andrea; Bardella, Paolo
Time-Domain Travelling-Wave Analysis of Semiconductor Optical Amplifiers based on Chirped Quantum Dot Materials
2023 Marchisio, Andrea; Tunesi, Lorenzo; Forrest, Adam F.; Cataluna, Maria Ana; Krakowski, Michel; Bardella, Paolo
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| A Machine Learning-Based Model for Characterizing Stationary-and-Dynamic Behavior of VCSEL / Khan, Ihtesham; Marchisio, Andrea; Tunesi, Lorenzo; Masood, MUHAMMAD UMAR; Ghillino, Enrico; Curri, Vittorio; Carena, Andrea; Bardella, Paolo. - ELETTRONICO. - (2023), pp. 1-2. (Intervento presentato al convegno CLEO: Science and Innovations tenutosi a San Jose, CA, United States nel 7-12 May 2023) [10.1364/CLEO_AT.2023.JW2A.141]. | 1-gen-2023 | Ihtesham KhanAndrea MarchisioLorenzo TunesiMuhammad Umar MasoodVittorio CurriAndrea CarenaPaolo Bardella + | cleo_fs-2023-jw2a.141.pdf; C_CLEO_A_Machine_Learning_Based_Model_for_Characterizing_Stationary_and_Dynamic_Behavior_of_VCSEL_02112022 (1).pdf |
| Automated model for characterization of VCSEL circuit-level parameters using machine learning / Marchisio, Andrea; Khan, Ihtesham; Tunesi, Lorenzo; Masood, Muhammad Umar; Ghillino, Enrico; Curri, Vittorio; Carena, Andrea; Bardella, Paolo. - ELETTRONICO. - (2023), pp. 264-266. (Intervento presentato al convegno European Conference on Integrated Optics tenutosi a Enschede, Paesi Bassi nel 19-21 Aprile 2023). | 1-gen-2023 | Marchisio, AndreaKhan, IhteshamTunesi, LorenzoMasood, Muhammad UmarCurri, VittorioCarena, AndreaBardella, Paolo + | 2023_ECIO_Automated_Model_for_Characterization_of_VCSEL_Circuit_level_Parameters_Using_Machine_Learning.pdf |
| Deep Learning-Driven Extraction of Superluminescent Diodes Parameters / Marchisio, Andrea; Curri, Vittorio; Carena, Andrea; Bardella, Paolo. - ELETTRONICO. - (2023). (Intervento presentato al convegno International Conference on Numerical Simulation of Optoelectronic Devices (NUSOD) tenutosi a Torino (ITALY) nel 18-21 September 2023). | 1-gen-2023 | Marchisio, AndreaCurri, VittorioCarena, AndreaBardella, Paolo | NUSOD23_TuB04.pdf |
| Machine Learning Aided Prediction of Fabrication Uncertainties in Integrated Multi-Ring Filters / Tunesi, Lorenzo; Khan, Ihtesham; Masood, MUHAMMAD UMAR; Marchisio, Andrea; Ghillino, Enrico; Curri, Vittorio; Carena, Andrea; Bardella, Paolo. - ELETTRONICO. - (2023), pp. 1-2. (Intervento presentato al convegno CLEO: Science and Innovations tenutosi a San Jose, CA, United States nel 7-12 May 2023) [10.1364/CLEO_SI.2023.STh4H.2]. | 1-gen-2023 | Lorenzo TunesiIhtesham KhanMuhammad Umar MasoodAndrea MarchisioVittorio CurriAndrea CarenaPaolo Bardella + | cleo_si-2023-sth4h.2_lor.pdf; C_CLEO_Machine_Learning_Approach_to_Predict_Fabrication_Uncertainties_in_Multi_Ring_Integrated_Filtering_Elements_19112022.pdf |
| Time-Domain Travelling-Wave Analysis of Semiconductor Optical Amplifiers based on Chirped Quantum Dot Materials / Marchisio, Andrea; Tunesi, Lorenzo; Forrest, Adam F.; Cataluna, Maria Ana; Krakowski, Michel; Bardella, Paolo. - ELETTRONICO. - 1:(2023), pp. 1-2. (Intervento presentato al convegno CLEO: Applications and Technology 2023 tenutosi a San Jose, CA, USA nel 7-12 May 2023) [10.1364/CLEO_AT.2023.JTh2A.63]. | 1-gen-2023 | Marchisio, AndreaTunesi, LorenzoBardella, Paolo + | cleo_at-2023-jth2a.63.pdf; 2022_CLEO_time_domain_travelling_wave_analysis_of_Semiconductor_Optical_Amplifiers_based_on_chirped_quantum_Dot_materials.pdf |