Carlos Natalino Da Silva

Researcher at Communication, Antennas and Optical Networks

Carlos Natalino is a Researcher with the Optical Networks Unit. His research focuses on network automation and on the challenges and opportunities for application of machine learning in the network automation context. In particular, over the past years, he has been researching how to leverage machine learning for optical network design and operation, in problems such as resource efficiency (e.g., spectrum) and physical layer security. Carlos has been involved in several national and international projects funded by research bodies in EU and Brazil. He has also been involved in teaching computer programming courses in Brazil and Sweden. He is an IEEE and Optica member.

Source: chalmers.se
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Showing 75 publications

2024

AI/ML-as-a-Service for optical network automation: use cases and challenges [Invited]

Carlos Natalino Da Silva, Ashkan Panahi, Nasser Mohammadiha et al
Journal of Optical Communications and Networking. Vol. 16 (2), p. A169-A179
Journal article
2024

Programmable Filterless Optical Networks: Architecture, Design and Resource Allocation

Ehsan Etezadi, Carlos Natalino Da Silva, Christine Tremblay et al
IEEE/ACM Transactions on Networking. Vol. 32 (2), p. 1096-1109
Journal article
2024

Deep-reinforcement-learning-based RMSCA for space division multiplexing networks with multi-core fibers [Invited Tutorial]

Yiran Teng, Carlos Natalino Da Silva, Haiyuan Li et al
Journal of Optical Communications and Networking. Vol. 16 (7), p. C76-C87
Journal article
2024

Machine Learning-Based Polarization Signature Analysis for Detection and Categorization of Eavesdropping and Harmful Events

Leyla Sadighi, Stefan Karlsson, Carlos Natalino Da Silva et al
2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings
Paper in proceeding
2024

Towards Explainable Reinforcement Learning in Optical Networks: The RMSA Use Case

Omran Ayoub, Carlos Natalino Da Silva, Paolo Monti
Conference on Optical Fiber Communication, Technical Digest Series
Paper in proceeding
2024

Reliable and efficient RAR-based distributed model training in computing power network

Ling Chen, Yajie Li, Carlos Natalino Da Silva et al
Journal of Optical Communications and Networking. Vol. 16 (5), p. 527-540
Journal article
2024

TAPI-based Telemetry Streaming in Multi-Domain Optical Transport Network

Vignesh Karunakaran, Carlos Natalino Da Silva, Behnam Shariati et al
Optical Fiber Communications Conference and Exhibition (OFC) 2024
Paper in proceeding
2024

Analysis and Mitigation of Unwanted Biases in ML-based QoT Classification Tasks

Carlos Natalino Da Silva, Behnam Shariati, Pooyan Safari et al
Conference on Optical Fiber Communication, Technical Digest Series
Paper in proceeding
2024

Hyperaccelerated Power Optimization in Multi-Band Elastic Optical Networks

F. Arpanaei, K. Ghodsifar, H. Beyranvand et al
2024 Optical Fiber Communications Conference and Exhibition, OFC 2024 - Proceedings
Paper in proceeding
2024

A Cost Assessment Methodology for User-Centric Distributed Massive MIMO Architectures

Andre L.P. Fernandes, Daynara D. Souza, Carlos Natalino Da Silva et al
IEEE Open Journal of the Communications Society. Vol. In Press
Journal article
2023

Demonstrating the Benefits of Service-Aware Pod Autoscaling with Shared Resources

Federico Tonini, Carlos Natalino Da Silva, Lena Wosinska et al
2023 IEEE 9th International Conference on Network Softwarization: Boosting Future Networks through Advanced Softwarization, NetSoft 2023 - Proceedings, p. 305-307
Paper in proceeding
2023

P4-based Telemetry Processing for Fast Soft Failure Recovery in Packet-Optical Networks

Filippo Cugini, Carlos Natalino Da Silva, Davide Scano et al
Optical Fiber Communication Conference and Exhibition
Paper in proceeding
2023

Machine-Learning-as-a-Service for Optical Network Automation

Carlos Natalino Da Silva, Nasser Mohammadiha, Ashkan Panahi
Optical Fiber Communication Conference and Exhibition
Paper in proceeding
2023

P5: Event-driven Policy Framework for P4-based Traffic Engineering

Panagiotis Famelis, Georgios P. Katsikas, Vasilios Katopodis et al
Proceedings of the 24th International Conference on High Performance Switching and Routing
Paper in proceeding
2023

A Service-Aware Autoscaling Strategy for Container Orchestration Platforms with Soft Resource Isolation

Federico Tonini, Carlos Natalino Da Silva, Dagnachew A. Temesgene et al
2023 JOINT EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS & 6G SUMMIT, EUCNC/6G SUMMIT, p. 454-459
Paper in proceeding
2023

Cascading-failure-Aware Disaster Recovery in Optical Cloud Networks

Guilherme S. Ramalho, Keiko O. Fonseca, Daniel F. Pigatto et al
Proceedings of the 2023 International Conference on Optical Network Design and Modeling, ONDM 2023
Paper in proceeding
2023

Machine-Learning-as-a-Service for Optical Networks: Use Cases and Benefits

Carlos Natalino Da Silva, Nasser Mohammadiha, Ashkan Panahi et al
Proceedings of the 23rd International Conference on Transparent Optical Networks, 2023
Other conference contribution
2023

Demonstration of DRL-based intelligent spectrum management over a T-API-enabled optical network digital twin

Ehsan Etezadi, Carlos Natalino Da Silva, Vignesh Karunakaran et al
European Conference on Optical Communication, ECOC
Paper in proceeding
2023

Proactive Spectrum Defragmentation Leveraging Spectrum Occupancy State Information

Ehsan Etezadi, Carlos Natalino Da Silva, Renzo Diaz et al
International Conference on Transparent Optical Networks. Vol. 2023-July
Paper in proceeding
2023

Scalable and Efficient Pipeline for ML-based Optical Network Monitoring

Carlos Natalino Da Silva, Lluis Gifre, Raul Munoz et al
2023 Optical Fiber Communications Conference and Exhibition, OFC 2023 - Proceedings
Paper in proceeding
2023

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

Federico Tonini, Carlos Natalino Da Silva, Dagnachew Temesgene et al
IEEE Networking Letters
Journal article
2023

Deep reinforcement learning for proactive spectrum defragmentation in elastic optical networks [Invited]

Ehsan Etezadi, Carlos Natalino Da Silva, Renzo Diaz et al
Journal of Optical Communications and Networking. Vol. 15 (10), p. E86-E96
Journal article
2023

DRL-based RMSCA for SDM Networks with Core Switching in Multi-Core Fibres

Yiran Teng, Ruizhi Yang, Carlos Natalino Da Silva et al
Proceedings of the 2023 Photonics in Switching and Computing
Paper in proceeding
2023

A Flexible and Scalable ML-Based Diagnosis Module for Optical Networks: A Security Use Case

Carlos Natalino Da Silva, Lluis Gifre, Francisco-Javier Moreno-Muro et al
Journal of Optical Communications and Networking. Vol. 15 (8), p. C155-C165
Journal article
2022

Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks

Carlos Natalino Da Silva, Carlos Manso, Lluis Gifre et al
2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings
Paper in proceeding
2022

Linear Regression vs. Deep Learning for Signal Quality Monitoring in Coherent Optical Systems

Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs et al
IEEE Photonics Journal. Vol. 14 (4)
Journal article
2022

Machine learning for network security management, attacks, and intrusions detection

Marija Furdek Prekratic, Carlos Natalino Da Silva
Machine Learning for Future Fiber-Optic Communication Systems, p. 317-336
Book chapter
2022

Feedforward Neural Network-Based EVM Estimation: Impairment Tolerance in Coherent Optical Systems

Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs et al
IEEE Journal of Selected Topics in Quantum Electronics. Vol. 28 (4)
Journal article
2022

Root Cause Analysis for Autonomous Optical Network Security Management

Carlos Natalino Da Silva, Marco Schiano, Andrea Di Giglio et al
IEEE Transactions on Network and Service Management. Vol. 19 (3), p. 2702-2713
Journal article
2022

EVM Estimation for Performance Monitoring in Coherent Optical Systems: An Approach of Linear Regression

Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs et al
Optics InfoBase Conference Papers
Paper in proceeding
2022

DeepDefrag: A deep reinforcement learning framework for spectrum defragmentation

Ehsan Etezadi, Carlos Natalino Da Silva, Renzo Diaz et al
2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings, p. 3694-3699
Paper in proceeding
2022

Demonstration of Zero-touch Device and L3-VPN Service Management using the TeraFlow Cloud-native SDN Controller

Ll Gitre, Carlos Natalino Da Silva, Sergio Gonzalez-Diaz et al
2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings
Paper in proceeding
2022

A Comparison of Linear Regression and Deep Learning Model for EVM Estimation in Coherent Optical Systems

Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs et al
Optics InfoBase Conference Papers
Paper in proceeding
2021

Scalable Physical Layer Security Components for Microservice-Based Optical SDN Controllers

Carlos Natalino Da Silva, Carlos Manso, Ricard Vilalta et al
European Conference on Optical Communication, ECOC. Vol. 2021
Paper in proceeding
2021

Spectrum Anomaly Detection for Optical Network Monitoring using Deep Unsupervised Learning

Carlos Natalino Da Silva, Aleksejs Udalcovs, Lena Wosinska et al
IEEE Communications Letters. Vol. 25 (5), p. 1583-1586
Journal article
2021

Laser Linewidth Tolerant EVM Estimation Approach for Intelligent Signal Quality Monitoring Relying on Feedforward Neural Networks

Yuchuan Fan, Xiaodan Pang, Aleksejs Udalcovs et al
European Conference on Optical Communication, ECOC
Paper in proceeding
2021

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

Marija Furdek Prekratic, Carlos Natalino Da Silva, Andrea Di Giglio et al
Journal of Optical Communications and Networking. Vol. 13 (2), p. A144-A155
Journal article
2021

Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation

Yuchuan Fan, Aleksejs Udalcovs, Xiaodan Pang et al
Journal of Optical Communications and Networking. Vol. 13 (4), p. B12-B20
Journal article
2021

Deep Learning Assisted Pre-Carrier Phase Recovery EVM Estimation for Coherent Transmission Systems

Yuchuan Fan, Aleksejs Udalcovs, Xiaodan Pang et al
2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
Paper in proceeding
2021

Experimental validation of CNNs versus FFNNs for time- And energy-efficient EVM estimation in coherent optical systems

Yuchuan Fan, Aleksejs Udalcovs, Carlos Natalino Da Silva et al
Journal of Optical Communications and Networking. Vol. 13 (10), p. E63-E71
Journal article
2021

Autonomous Security Management in Optical Networks

Carlos Natalino Da Silva, Andrea Di Giglio, Marco Schiano et al
2021 Optical Fiber Communications Conference and Exhibition, OFC 2021 - Proceedings
Paper in proceeding
2021

Storage Protection with Connectivity and Processing Restoration for Survivable Cloud Services

Carlos Natalino Da Silva, Ahmad Rostami, Paolo Monti
Proceedings - International Conference on Computer Communications and Networks, ICCCN
Paper in proceeding
2021

Network automation: challenges, enablers, and benefits

Paolo Monti, Carlos Natalino Da Silva
Other conference contribution
2021

A GPU-assisted NFV framework for intrusion detection system

Igor Araujo, Carlos Natalino Da Silva, Diego L. Cardoso
Computer Communications. Vol. 169, p. 92-98
Journal article
2021

Experimental Validation of CNN vs. FFNN for Time- and Energy-Efficient EVM Estimation in Coherent Optical Systems

Yuchuan Fan, Aleksejs Udalcovs, Carlos Natalino Da Silva et al
Journal of Optical Communications and Networking. Vol. 13 (10), p. E63-E71
Journal article
2020

Structural Methods to Improve the Robustness of Anycast Communications to Large-Scale Failures

Amaro de Sousa, Dorabella Santo, Carlos Natalino Da Silva et al
Guide to Disaster-Resilient Communication Networks, p. 401-425
Book chapter
2020

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

Jing Zhu, Marija Furdek Prekratic, Carlos Natalino Da Silva et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11616 LNCS, p. 168-180
Paper in proceeding
2020

Machine Learning for Optical Network Security Management

Marija Furdek Prekratic, Carlos Natalino Da Silva
Conference on Optical Fiber Communication, Technical Digest Series. Vol. Part F174-OFC 2020
Paper in proceeding
2020

Availability-Guaranteed Service Function Chain Provisioning with Optional Shared Backups

Igor M. Araújo, Carlos Natalino Da Silva, Hao Chen et al
2020 16th International Conference on the Design of Reliable Communication Networks, DRCN 2020
Paper in proceeding
2020

Forecasting power load curves from spatial and temporal mobile data

Frederico Coelho, Murilo Menezes, Lourenço Ribeiro et al
World Review of Science, Technology and Sustainable Development. Vol. 16 (1), p. 4-21
Journal article
2020

The Optical RL-Gym: an open-source toolkit for applying reinforcement learning in optical networks

Carlos Natalino Da Silva, Paolo Monti
International Conference on Transparent Optical Networks. Vol. 2020-July
Paper in proceeding
2020

Machine Learning for Cognitive Optical Network Security Management

Marija Furdek Prekratic, Carlos Natalino Da Silva
Optics InfoBase Conference Papers
Paper in proceeding
2020

Network Slicing Automation: Challenges and Benefits

Federico Tonini, Carlos Natalino Da Silva, Marija Furdek Prekratic et al
2020 24th International Conference on Optical Network Design and Modeling, ONDM 2020
Paper in proceeding
2020

Root Cause Analysis for Autonomous Optical Networks: A Physical Layer Security Use Case

Carlos Natalino Da Silva, Andrea Di Giglio, Marco Schiano et al
2020 European Conference on Optical Communications, ECOC 2020
Paper in proceeding
2020

Design of Programmable Filterless Optical Networks

Marija Furdek Prekratic, Carlos Natalino Da Silva, Lena Wosinska et al
2020 Photonics North, PN 2020
Paper in proceeding
2020

Network-wide localization of optical-layer attacks

Vincent Chan, Marija Furdek Prekratic, Carlos Natalino Da Silva et al
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 11616 LNCS, p. 310-322
Paper in proceeding
2020

Functional Metrics to Evaluate Network Vulnerability to Disasters

Carlos Natalino Da Silva, Sasko Ristov, Lena Wosinska et al
Guide to Disaster-Resilient Communication Networks; Rak, J., Hutchison, D. (eds) , p. 47-62
Book chapter
2020

A Heuristic Approach for the Design of UAV-Based Disaster Relief in Optical Metro Networks

Evelin Cardoso, Carlos Natalino Da Silva, Rodrigo Alfaia et al
International Conference on Transparent Optical Networks. Vol. 2020-July, p. 1-5
Paper in proceeding
2020

Machine Learning for Optical Network Security Monitoring: A Practical Perspective

Marija Furdek Prekratic, Carlos Natalino Da Silva, Fabian Lipp et al
Journal of Lightwave Technology. Vol. 38 (11), p. 2860-2871
Review article
2020

Content placement in 5G-enabled edge/core data center networks resilient to link cut attacks

Carlos Natalino Da Silva, Amaro de Sousa, Lena Wosinska et al
Networks. Vol. 75 (4), p. 392-404
Journal article
2020

Content placement in 5G‐enabled edge/core datacenter networks resilient to link cut attacks

Carlos Natalino Da Silva, Amaro de Sousa, Lena Wosinska et al
Networks. Vol. 75 (4), p. 392-392
Journal article
2019

Enhancing optical network security with machine learning

Marija Furdek Prekratic, Carlos Natalino Da Silva
International Conference on Transparent Optical Networks. Vol. 2019-July
Paper in proceeding
2019

Experimental Study of Machine-Learning-Based Detection and Identification of Physical-Layer Attacks in Optical Networks

Carlos Natalino Da Silva, Marco Schiano, Andrea Di Giglio et al
Journal of Lightwave Technology. Vol. 37 (16), p. 4173-4182
Journal article
2019

Reinforcement Learning for Slicing in a 5G Flexible RAN

Muhammad Rehan Raza, Carlos Natalino Da Silva, Peter Öhlen et al
Journal of Lightwave Technology. Vol. 37 (20), p. 5161-5169
Journal article
2019

Demonstration of Machine-Learning-Assisted Security Monitoring in Optical Networks

Marija Furdek Prekratic, Carlos Natalino Da Silva, Fabian Lipp et al
Proceedings of the 45th European Conference on Optical Communication, ECOC 2019
Paper in proceeding
2019

Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning

Marija Furdek Prekratic, Carlos Natalino Da Silva, Marco Schiano et al
Metro and Data Center Optical Networks and Short-Reach Links II; 109460D. Vol. 10946
Paper in proceeding
2019

Minimum Cost Design of Cellular Networks in Rural Areas with UAVs, Optical Rings, Solar Panels and Batteries

Luca Chiaraviglio, Lavinia Amorosi, Nicola Blefari-Melazzi et al
IEEE Transactions on Green Communications and Networking
Journal article
2019

Infrastructure upgrade framework for content delivery networks robust to targeted attacks

Carlos Natalino Da Silva, Aysegul Yayimli, Lena Wosinska et al
Optical Switching and Networking. Vol. 31, p. 202-210
Journal article
2019

Energy- and fatigue-aware RWA in optical backbone networks

Carlos Natalino Da Silva, Filip Idzikowski, Luca Chiaraviglio et al
Optical Switching and Networking. Vol. 31, p. 193-201
Journal article
2019

Cost Benefits of Centralizing Service Processing in 5G Network Infrastructures

Maryam Lashgari, Carlos Natalino Da Silva, Luis M. Contreras et al
Optics InfoBase Conference Papers (F138-ACPC 2019)
Paper in proceeding
2019

Machine Learning Methods for Slice Admission in 5G Networks

Muhammad Rehan Raza, Carlos Natalino Da Silva, Lena Wosinska et al
OECC/PSC 2019 - 24th OptoElectronics and Communications Conference/International Conference Photonics in Switching and Computing 2019
Paper in proceeding
2019

One-Shot Learning for Modulation Format Identification in Evolving Optical Networks

Carlos Natalino Da Silva, Aleksejs Udalcovs, Lena Wosinska et al
Optics InfoBase Conference Papers. Vol. Part F131-IPRSN 2019
Paper in proceeding
2016

Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks

Carlos Natalino Da Silva, Carlos Manso, Lluis Gifre et al
Optics InfoBase Conference Papers. Vol. 2016
Paper in proceeding

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Showing 7 research projects

2024–2027

EMPOWER Converged Optical Wireless Configurations With Cell-Free Technologies For High-Density 6G Networks (EMPOWER - 6G)

Lena Wosinska Optical Networks
Paolo Monti Optical Networks
Carlos Natalino Da Silva Optical Networks
Maria Curie-Sklodowska University

2024–2027

“Efficient Confluent Edge Networks (ECO-eNET),” EU HORIZON project

Lena Wosinska Optical Networks
Paolo Monti Optical Networks
Carlos Natalino Da Silva Optical Networks
European Commission (EC)

2023–2026

Photonic-Assisted Hardware for Reservoir Computing (BRAIN)

Paolo Monti Optical Networks
Carlos Natalino Da Silva Optical Networks
Swedish Research Council (VR)

1 publication exists
2021–2024

Providing Resilient & secure networks [Operating on Trusted Equipment] to CriTical infrastructures (PROTECT)

Paolo Monti Optical Networks
Ehsan Etezadi Optical Networks
Carlos Natalino Da Silva Optical Networks
Marija Furdek Prekratic Optical Networks
Rui Lin Optical Networks
Lena Wosinska Optical Networks
Leyla Sadighi Optical Networks
VINNOVA

26 publications exist
2021–2023

Secured autonomic traffic management for a Tera of SDN flows (TeraFlow)

Carlos Natalino Da Silva Optical Networks
Marija Furdek Prekratic Optical Networks
Paolo Monti Optical Networks
European Commission (EC)

11 publications exist
2020–2023

Automation of Network edge Infrastructure & Applications with aRtificiAl intelligence, ANIARA

Paolo Monti Optical Networks
Federico Tonini Optical Networks
Carlos Natalino Da Silva Optical Networks
Lena Wosinska Optical Networks
VINNOVA

8 publications exist
2019–2023

Smart City Concepts in Curitiba - low-carbon transport and mobility in a digital society

Paolo Monti Optical Networks
Lena Wosinska Optical Networks
Carlos Natalino Da Silva Optical Networks
VINNOVA

8 publications exist
There might be more projects where Carlos Natalino Da Silva participates, but you have to be logged in as a Chalmers employee to see them.