Packet Optical Networks and Services (PONS)
Msc , Researcher
Email: carlos.hernandez@cttc.catPhone: +34 93 645 29 00
Carlos Hernández Chulde received the engineering degree in Electronic and Information Networks from the National Polytechnic School (Ecuador) in 2015. In 2017, he obtained his master’s degree in Applied Telecommunications and Engineering Management from the Polytechnic University of Catalonia (Spain). He is currently pursuing his Ph.D. degree working as research assistant in the Optical Network and Systems department of CTTC.
He worked for different companies and government institutions in Ecuador. His work experience has always been linked to ICTs. He holds some technical certifications from networking and virtualization vendors such as Cisco and VMware.
His research interests include network slicing, SDN, NFV and machine learning.
No results found
Evaluation of Deep Reinforcement Learning for Restoration in Optical Networks
2022 Optical Fiber Communications Conference And Exhibition, Ofc 2022 - Proceedings.
January 2022.
Hernandez-Chulde C., Casellas R., Martinez R., Vilalta R., Munoz R.
Google Scholar
Latency-Aware Routing and Spectrum Assignment with Deep Reinforcement Learning
2022 18th International Conference On The Design Of Reliable Communication Networks, Drcn 2022.
January 2022.
Hernandez-Chulde C., Casellas R., Martinez R., Vilalta R., Munoz R.
10.1109/DRCN53993.2022.9758014
Google Scholar
Evaluation of Deep Reinforcement Learning for Restoration in Optical Networks
Optics Infobase Conference Papers.
January 2022.
Hernández-Chulde C., Casellas R., Martínez R., Vilalta R., Muñoz R.
Google Scholar
Assessment of a Latency-aware Routing and Spectrum Assignment Mechanism Based on Deep Reinforcement Learning
2021 European Conference On Optical Communication, Ecoc 2021.
January 2021.
Hernandez-Chulde C., Casellas R., Martinez R., Vilalta R., Munoz R.
10.1109/ECOC52684.2021.9605919
Google Scholar
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