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D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
4662
World Ranking
9215
National Ranking
363

Overview

Roberto Proietti is affiliated with the Polytechnic University of Turin in Italy. Their research spans across multiple fields of study, primarily Engineering and Computer Science, with a notable focus on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Atomic and Molecular Physics and Optics, and Geophysics.

The scientist's work covers several main topics, including:

  • Optical Network Technologies
  • Photonic and Optical Devices
  • Advanced Optical Network Technologies
  • Neural Networks and Reservoir Computing
  • Advanced Photonic Communication Systems
  • Quantum Information and Cryptography
  • Advanced Memory and Neural Computing

Roberto Proietti has contributed to numerous publications in various reputable venues. Frequent publication venues include:

  • Journal of Optical Communications and Networking
  • Optical Fiber Communication Conference (OFC) 2022
  • Journal of Lightwave Technology
  • IEEE Communications Magazine
  • Optics Express

Recent papers authored or co-authored by Roberto Proietti include:

  • Automating Optical Network Fault Management with Machine Learning, 2022, IEEE Communications Magazine
  • Photonic spiking neural networks with event-driven femtojoule optoelectronic neurons based on Izhikevich-inspired model, 2022, Optics Express
  • Multi-FSR Silicon Photonic Flex-LIONS Module for Bandwidth-Reconfigurable All-to-All Optical Interconnects, 2020, Journal of Lightwave Technology
  • On Cooperative Fault Management in Multi-Domain Optical Networks Using Hybrid Learning, 2022, IEEE Journal of Selected Topics in Quantum Electronics
  • A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks, 2021, IEEE Journal on Selected Areas in Communications

The scientist collaborates frequently with several co-authors, including:

  • S. J. Ben Yoo
  • Xiaoliang Chen
  • Che-Yu Liu
  • Mehmet Berkay On
  • Xian Xiao

Best Publications

  • DOS: a scalable optical switch for datacenters

    Xiaohui Ye;Paul Mejia;Yawei Yin;Roberto Proietti

  • Survey of Photonic Switching Architectures and Technologies In Support Of Spatially and Spectrally Flexible Optical Networking {[}Invited]

    Dan M. Marom;Paul D. Colbourne;Antonio D’Errico;Nicolas K. Fontaine

  • DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks

    Xiaoliang Chen;Baojia Li;Roberto Proietti;Hongbo Lu

  • LIONS: An AWGR-Based Low-Latency Optical Switch for High-Performance Computing and Data Centers

    Yawei Yin;R. Proietti;Xiaohui Ye;C. J. Nitta

  • Regenerative and reconfigurable all-optical logic gates for ultra-fast applications

    A. Bogoni;L. Poti;R. Proietti;G. Meloni

  • Soft failure localization during commissioning testing and lightpath operation

    A. P. Vela;B. Shariati;M. Ruiz;F. Cugini

  • All-optical packet/circuit switching-based data center network for enhanced scalability, latency, and throughput

    Jordi Perelló;Salvatore Spadaro;Sergio Ricciardi;Davide Careglio

  • A scalable silicon photonic chip-scale optical switch for high performance computing systems

    Runxiang Yu;Stanley Cheung;Yuliang Li;Katsunari Okamoto

  • Deep-RMSA: A Deep-Reinforcement-Learning Routing, Modulation and Spectrum Assignment Agent for Elastic Optical Networks

    Xiaoliang Chen;Jiannan Guo;Zuqing Zhu;Roberto Proietti

  • A Scalable, Low-Latency, High-Throughput, Optical Interconnect Architecture Based on Arrayed Waveguide Grating Routers

    Roberto Proietti;Zheng Cao;Christopher J. Nitta;Yuliang Li

  • Self-Taught Anomaly Detection With Hybrid Unsupervised/Supervised Machine Learning in Optical Networks

    Xiaoliang Chen;Baojia Li;Roberto Proietti;Zuqing Zhu

  • 3D elastic optical networking in the temporal, spectral, and spatial domains

    Roberto Proietti;Lei Liu;Ryan P. Scott;Binbin Guan

  • Double-stage cross-gain modulation in SOAs: an effective technique for WDM multicasting

    G. Contestabile;N. Calabretta;R. Proietti;E. Ciaramella

  • The first testbed demonstration of a flexible bandwidth network with a real-time adaptive control plane

    David J. Geisler;Roberto Proietti;Yawei Yin;Ryan P. Scott

  • Rapid and complete hitless defragmentation method using a coherent RX LO with fast wavelength tracking in elastic optical networks

    Roberto Proietti;Chuan Qin;Binbin Guan;Yawei Yin

  • Scalable Optical Interconnect Architecture Using AWGR-Based TONAK LION Switch With Limited Number of Wavelengths

    Roberto Proietti;Yawei Yin;Runxiang Yu;Christopher J. Nitta

  • Cross-Gain Compression in Semiconductor Optical Amplifiers

    G. Contestabile;R. Proietti;N. Calabretta;E. Ciaramella

  • Spectrum defragmentation algorithms for elastic optical networks using hitless spectrum retuning techniques

    Mingyang Zhang;Yawei Yin;R. Proietti;Zuqing Zhu

  • Experimental demonstration of machine-learning-aided QoT estimation in multi-domain elastic optical networks with alien wavelengths

    Roberto Proietti;Xiaoliang Chen;Kaiqi Zhang;Gengchen Liu

  • Automating Optical Network Fault Management with Machine Learning

    Unknown

  • Knowledge-Based Autonomous Service Provisioning in Multi-Domain Elastic Optical Networks

    Xiaoliang Chen;Roberto Proietti;Hongbo Lu;Alberto Castro

Frequent Co-Authors

S. J. B. Yoo
S. J. B. Yoo University of California, Davis
Ernesto Ciaramella
Ernesto Ciaramella Sant'Anna School of Advanced Studies
Nicola Calabretta
Nicola Calabretta Eindhoven University of Technology
Zuqing Zhu
Zuqing Zhu University of Science and Technology of China
Ryan P. Scott
Ryan P. Scott Keysight Technologies (United States)
Nicolas K. Fontaine
Nicolas K. Fontaine Nokia (United States)
Luis Velasco
Luis Velasco Universitat Politècnica de Catalunya
Zhi Ding
Zhi Ding University of California, Davis
Dimitra Simeonidou
Dimitra Simeonidou University of Bristol
Antonella Bogoni
Antonella Bogoni Sant'Anna School of Advanced Studies

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