Carlos Natalino Da Silva

Post doc at Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Carlos Natalino is a postdoc with the Optical Networks Unit, focusing on the application of machine learning to telecommunication infrastructure problems. Among the main topics are the design and management of optical networks and cloud computing infrastructures, with special focus on resource and energy efficiency, security, reliability and survivability. He 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 member.

Source: chalmers.se

Showing 11 publications

2019

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
Proceedings of the 23rd Conference On Optical Network Design And Modelling, ONDM 2019
Paper in proceedings
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 proceedings
2019

Machine Learning Methods for Slice Admission in 5G Networks

Muhammad Rehan Raza, Carlos Natalino Da Silva, Lena Wosinska et al
Paper in proceedings
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 proceedings
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 proceedings
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 proceedings
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)
Journal article
2019

Network-wide localization of optical-layer attacks

Marija Furdek Prekratic, Vincent Chan, Carlos Natalino Da Silva et al
Paper in proceedings
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

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

Cost Benefits of Centralizing Service Processing in 5G Network Infrastructures

Maryam Lashgari, Carlos Natalino Da Silva, Luis M. Contreras et al
Asia Communications and Photonics Conference, ACP
Paper in proceedings

Save references

If you have installed Zotero or Mendeley on your computer you can use a plugin to extract references from the publications you see.

Download plugins:
Zotero
Mendeley

There are no projects.
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.