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Carlos Natalino Da Silva

Forskare, Elektroteknik

carlos.natalino@chalmers.se +46317726026 http://orcid.org/0000-0001-7501-5547

Carlos arbetar i forskargruppen Optiska nätverk.

Undervisning
Publikationer
Samverkan och projekt
GitHub

EEN060 ochEEN065 - Tillämpad objektorienterad programmering

2023 LP4 (EEN065): Kurs PM
2023 LP3 (EEN060): Kurs PM
2022 LP4 (EEN065): Kurs PM
2022 LP3 (EEN060): Kurs PM
2021 LP4 (EEN065): Kurs PM
2021 LP3 (EEN060): Kurs PM
2020 LP4 (EEN065): Kurs PM
2020 LP3 (EEN060): Kurs PM (kräver inloggning)

Senaste publikationer

2023
Benefits of Pod dimensioning with best-effort resources in bare metal cloud native deployments

Författare: Federico Tonini; Carlos Natalino Da Silva; Dagnachew Temesgene; Zere Ghebretensae; Lena Wosinska; Paolo Monti

Publiceringsår: 2023

Publicerat i: IEEE Networking Letters

Publikationstyp: Artikel i vetenskaplig tidskrift
2022
Machine learning for network security management, attacks, and intrusions detection

Författare: Marija Furdek Prekratic; Carlos Natalino Da Silva

Publiceringsår: 2022

Publicerat i: Machine Learning for Future Fiber-Optic Communication Systems

Publikationstyp: Kapitel i bok
EVM Estimation for Performance Monitoring in Coherent Optical Systems: An Approach of Linear Regression

Författare: Yuchuan Fan; Xiaodan Pang; Aleksejs Udalcovs; Carlos Natalino Da Silva; Lu Zhang; Sandis Spolitis; V. Bobrovs; Richard Schatz; Xianbin Yu; Marija Furdek Prekratic; Sergei Popov; Oskars Ozolins

Publiceringsår: 2022

Publicerat i: Optics InfoBase Conference Papers

Publikationstyp: Paper i proceeding
DeepDefrag: A deep reinforcement learning framework for spectrum defragmentation

Författare: Ehsan Etezadi; Carlos Natalino Da Silva; Renzo Diaz; Anders Lindgren; Stefan Melin; Lena Wosinska; Paolo Monti; Marija Furdek Prekratic

Publiceringsår: 2022

Publicerat i: Proceedings of 2022 IEEE Global Communications Conference

Publikationstyp: Paper i proceeding
Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems

Författare: Yuchuan Fan; Xiaodan Pang; Aleksejs Udalcovs; Carlos Natalino Da Silva; Lu Zhang; Sandis Spolitis; V. Bobrovs; Richard Schatz; Xianbin Yu; Marija Furdek Prekratic; Sergei Popov; Oskars Ozolins

Publiceringsår: 2022

Publicerat i: IEEE Photonics Journal

Publikationstyp: Artikel i vetenskaplig tidskrift
Root Cause Analysis for Autonomous Optical Network Security Management

Författare: Carlos Natalino Da Silva; Marco Schiano; Andrea Di Giglio; Marija Furdek Prekratic

Publiceringsår: 2022

Publicerat i: IEEE Transactions on Network and Service Management

Publikationstyp: Artikel i vetenskaplig tidskrift
Feedforward Neural Network-Based EVM Estimation: Impairment Tolerance in Coherent Optical Systems

Författare: Yuchuan Fan; Xiaodan Pang; Aleksejs Udalcovs; Carlos Natalino Da Silva; Lu Zhang; Vjaceslavs Bobrovs; Richard Schatz; Xianbin Yu; Marija Furdek Prekratic; Sergei Popov; Oskars Ozolins

Publiceringsår: 2022

Publicerat i: IEEE Journal of Selected Topics in Quantum Electronics

Publikationstyp: Artikel i vetenskaplig tidskrift
Demonstration of Zero-touch Device and L3-VPN Service Management using the TeraFlow Cloud-native SDN Controller

Författare: Ll Gitre; Carlos Natalino Da Silva; Sergio Gonzalez-Diaz; F. Soldatos; S. Barguil; C. Aslanoglou; F. J. Moreno-Muro; A. N.Quispe Cornelio; L. Cepeda; R. Martinez; Carlos Manso; V. Apostolopoulos; S. Petteri Valiviita; Oscar Gonzalez De Dios; J. Rodriguez; Ramon Casellas; Paolo Monti; G. P. Katsikas; Raul Munoz; Ricard Vilalta

Publiceringsår: 2022

Publicerat i: 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings

Publikationstyp: Paper i proceeding
Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks

Författare: Carlos Natalino Da Silva; Carlos Manso; Lluis Gifre; Raul Munoz; Ricard Vilalta; Marija Furdek Prekratic; Paolo Monti

Publiceringsår: 2022

Publicerat i: 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings

Publikationstyp: Paper i proceeding
2021
Network automation: challenges, enablers, and benefits

Författare: Paolo Monti; Carlos Natalino Da Silva

Publiceringsår: 2021

Publicerat i:

Publikationstyp: Övrigt konferensbidrag
Deep Learning Assisted Pre-Carrier Phase Recovery EVM Estimation for Coherent Transmission Systems

Författare: Yuchuan Fan; Aleksejs Udalcovs; Xiaodan Pang; Carlos Natalino Da Silva; Richard Schatz; Marija Furdek Prekratic; Sergei Popov; Oskars Ozolins

Publiceringsår: 2021

Publicerat i: 2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

Publikationstyp: Paper i proceeding
Autonomous Security Management in Optical Networks

Författare: Carlos Natalino Da Silva; Andrea Di Giglio; Marco Schiano; Marija Furdek Prekratic

Publiceringsår: 2021

Publicerat i: Optical Fiber Communications Conference and Exhibition (OFC)

Publikationstyp: Paper i proceeding
Scalable Physical Layer Security Components for Microservice-Based Optical SDN Controllers

Författare: Carlos Natalino Da Silva; Carlos Manso; Ricard Vilalta; Paolo Monti; Raul Munoz; Marija Furdek Prekratic

Publiceringsår: 2021

Publicerat i: European Conference on Optical Communication, ECOC

Publikationstyp: Paper i proceeding
Laser Linewidth Tolerant EVM Estimation Approach for Intelligent Signal Quality Monitoring Relying on Feedforward Neural Networks

Författare: Yuchuan Fan; Xiaodan Pang; Aleksejs Udalcovs; Carlos Natalino Da Silva; Richard Schatz; Marija Furdek Prekratic; Sergei Popov; Oskars Ozolins

Publiceringsår: 2021

Publicerat i: European Conference on Optical Communication, ECOC

Publikationstyp: Paper i proceeding
Experimental validation of CNNs versus FFNNs for time- And energy-efficient EVM estimation in coherent optical systems

Författare: Yuchuan Fan; Aleksejs Udalcovs; Carlos Natalino Da Silva; Xiaodan Pang; Richard Schatz; Marija Furdek Prekratic; Sergei Popov; Oskars Ozolins

Publiceringsår: 2021

Publicerat i: Journal of Optical Communications and Networking

Publikationstyp: Artikel i vetenskaplig tidskrift
Storage Protection with Connectivity and Processing Restoration for Survivable Cloud Services

Författare: Carlos Natalino Da Silva; Ahmad Rostami; Paolo Monti

Publiceringsår: 2021

Publicerat i: Proceedings of the 30th International Conference on Computer Communications and Networks (ICCCN 2021)

Publikationstyp: Paper i proceeding
Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning

Författare: Carlos Natalino Da Silva; Aleksejs Udalcovs; Lena Wosinska; Oskars Ozolins; Marija Furdek Prekratic

Publiceringsår: 2021

Publicerat i: IEEE Communications Letters

Publikationstyp: Artikel i vetenskaplig tidskrift
A GPU-assisted NFV framework for intrusion detection system

Författare: Igor Araujo; Carlos Natalino Da Silva; Diego L. Cardoso

Publiceringsår: 2021

Publicerat i: Computer Communications

Publikationstyp: Artikel i vetenskaplig tidskrift
Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation

Författare: Yuchuan Fan; Aleksejs Udalcovs; Xiaodan Pang; Carlos Natalino Da Silva; Marija Furdek Prekratic; Sergei Popov; Oskars Ozolins

Publiceringsår: 2021

Publicerat i: Journal of Optical Communications and Networking

Publikationstyp: Artikel i vetenskaplig tidskrift
Optical Network Security Management: Requirements, Architecture and Efficient Machine Learning Models for Detection of Evolving Threats [Invited]

Författare: Marija Furdek Prekratic; Carlos Natalino Da Silva; Andrea Di Giglio; Marco Schiano

Publiceringsår: 2021

Publicerat i: Journal of Optical Communications and Networking

Publikationstyp: Artikel i vetenskaplig tidskrift
2020
A Heuristic Approach for the Design of UAV-Based Disaster Relief in Optical Metro Networks

Författare: Evelin Cardoso; Carlos Natalino Da Silva; Rodrigo Alfaia; Anderson Souto; Jasmine Araújo; Carlos R. L. Francês; Luca Chiaraviglio; Paolo Monti

Publiceringsår: 2020

Publicerat i: International Conference on Transparent Optical Networks

Publikationstyp: Paper i proceeding
Root Cause Analysis for Autonomous Optical Networks: A Physical Layer Security Use Case

Författare: Carlos Natalino Da Silva; Andrea Di Giglio; Marco Schiano; Marija Furdek Prekratic

Publiceringsår: 2020

Publicerat i: 2020 European Conference on Optical Communications

Publikationstyp: Paper i proceeding
Design of Programmable Filterless Optical Networks

Författare: Marija Furdek Prekratic; Carlos Natalino Da Silva; Lena Wosinska; Christine Tremblay

Publiceringsår: 2020

Publicerat i: 2020 Photonics North (PN)

Publikationstyp: Paper i proceeding
Machine Learning for Optical Network Security Monitoring: A Practical Perspective

Författare: Marija Furdek Prekratic; Carlos Natalino Da Silva; Fabian Lipp; David Hock; Andrea Di Giglio; Marco Schiano

Publiceringsår: 2020

Publicerat i: Journal of Lightwave Technology

Publikationstyp: Reviewartikel
How to Survive Targeted Fiber Cuts: A Game Theoretic Approach for Resilient SDON Control Plane Design

Författare: Jing Zhu; Marija Furdek Prekratic; Carlos Natalino Da Silva; Lena Wosinska; Zuqing Zhu

Publiceringsår: 2020

Publicerat i: Optical Network Design and Modeling. ONDM 2019. Lecture Notes in Computer Science

Publikationstyp: Paper i proceeding

Gå till Chalmers publikationsbibliotek

Projekt
2020-06-15 — 2023-10-31

Automation of Network edge Infrastructure & Applications with aRtificiAl intelligence, ANIARA
2021-02-01 — 2024-01-31

Providing Resilient & secure networks [Operating on Trusted Equipment] to CriTical infrastructures...
2021-01-01 — 2023-06-30

Secured autonomic traffic management for a Tera of SDN flows (TeraFlow)
2019-12-01 — 2023-05-31

Smarta stadskoncepter i Curitiba - lågkolhalt transport och rörlighet i det digitala samhället

You can check my GitHub where I share the implementation of several of my papers.

Link: https://github.com/carlosnatalino/

Sidansvarig Publicerad: on 25 jan 2023.

Carlos Natalino Da Silva

Senaste publikationer

2023

2022

2021

2020

Projekt