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D-Index & Metrics

Engineering and Technology

D-Index
40
Citations
6730
World Ranking
7296
National Ranking
85

Overview

Darko Zibar is affiliated with the Technical University of Denmark in Denmark. Their research spans multiple key areas within engineering and computer science, with a primary focus on electrical and electronic engineering, artificial intelligence, and atomic and molecular physics, and optics.

Their work covers various specialized topics, including:

  • Optical Network Technologies
  • Photonic and Optical Devices
  • Neural Networks and Reservoir Computing
  • Advanced Fiber Laser Technologies
  • Advanced Photonic Communication Systems
  • Semiconductor Lasers and Optical Devices
  • Advanced Fiber Optic Sensors

Darko Zibar has contributed to academic literature with publications in notable venues. Frequent publication venues are:

  • arXiv (Cornell University)
  • Journal of Lightwave Technology
  • Optics Express
  • Optics Letters
  • IEEE Photonics Technology Letters

Among the recent papers authored or coauthored by them are:

  • "Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz," 2020, IEEE Access
  • "Machine learning aided carrier recovery in continuous-variable quantum key distribution," 2021, npj Quantum Information
  • "End-to-End Optimization of Coherent Optical Communications Over the Split-Step Fourier Method Guided by the Nonlinear Fourier Transform Theory," 2020, Journal of Lightwave Technology
  • "Reservoir-Computing Based Equalization With Optical Pre-Processing for Short-Reach Optical Transmission," 2020, IEEE Journal of Selected Topics in Quantum Electronics
  • "Introducing Load Aware Neural Networks for Accurate Predictions of Raman Amplifiers," 2020, Journal of Lightwave Technology

Their frequent coauthors include Francesco Da Ros, Ognjen Jovanovic, Metodi P. Yankov, Andrea Carena, and Uiara Celine de Moura. Collaboration with these researchers reflects a focus on topics related to photonics, optical communications, and neural computing systems.

Best Publications

  • An Overview on Application of Machine Learning Techniques in Optical Networks

    Francesco Musumeci;Cristina Rottondi;Avishek Nag;Irene Macaluso

  • 100 Gbit/s hybrid optical fiber-wireless link in the W-band (75-110 GHz).

    Xiaodan Pang;Antonio Caballero;Anton Dogadaev;Valeria Arlunno

  • Single-source chip-based frequency comb enabling extreme parallel data transmission

    Hao Hu;Francesco Da Ros;Minhao Pu;Feihong Ye

  • Machine Learning Techniques in Optical Communication

    Darko Zibar;Molly Piels;Rasmus Jones;Christian G. Schaeffer

  • Model-Aided Deep Learning Method for Path Loss Prediction in Mobile Communication Systems at 2.6 GHz

    Jakob Thrane;Darko Zibar;Henrik Lehrmann Christiansen

  • Machine Learning Techniques for Optical Performance Monitoring From Directly Detected PDM-QAM Signals

    Jakob Thrane;Jesper Wass;Molly Piels;Julio C. M. Diniz

  • Constellation Shaping for Fiber-Optic Channels With QAM and High Spectral Efficiency

    Metodi P. Yankov;Darko Zibar;Knud J. Larsen;Lars P. B. Christensen

  • 0.4 THz Photonic-Wireless Link With 106 Gb/s Single Channel Bitrate

    Shi Jia;Xiaodan Pang;Oskars Ozolins;Xianbin Yu

  • Dual-polarization nonlinear Fourier transform-based optical communication system

    S. Gaiarin;A. M. Perego;E. P. da Silva;F. Da Ros

  • Constellation Shaping for WDM Systems Using 256QAM/1024QAM With Probabilistic Optimization

    Metodi P. Yankovn;Francesco Da Ros;Edson P. da Silva;Soren Forchhammer

  • Widely Linear Equalization for IQ Imbalance and Skew Compensation in Optical Coherent Receivers

    Edson Porto da Silva;Darko Zibar

  • High-Capacity Wireless Signal Generation and Demodulation in 75- to 110-GHz Band Employing All-Optical OFDM

    D Zibar;R Sambaraju;A Caballero;J Herrera

  • Inverse System Design Using Machine Learning: The Raman Amplifier Case

    Darko Zibar;Ann Margareth Rosa Brusin;Uiara C. de Moura;Francesco Da Ros

  • Nonlinear impairment compensation using expectation maximization for dispersion managed and unmanaged PDM 16-QAM transmission

    Darko Zibar;Ole Winther;Niccolo Franceschi;Robert Borkowski

  • Stokes Space-Based Optical Modulation Format Recognition for Digital Coherent Receivers

    Robert Borkowski;Darko Zibar;Antonio Caballero;Valeria Arlunno

  • Multi–Band Programmable Gain Raman Amplifier

    Uiara Celine de Moura;Asif Iqbal;Morteza Kamalian;Lukasz Krzczanowicz

  • 25 Gbit/s QPSK Hybrid Fiber-Wireless Transmission in the W-Band (75–110 GHz) With Remote Antenna Unit for In-Building Wireless Networks

    Xiaodan Pang;A. Caballero;A. Dogadaev;V. Arlunno

  • Deep Learning of Geometric Constellation Shaping Including Fiber Nonlinearities

    Rasmus T. Jones;Tobias A. Eriksson;Metodi P. Yankov;Darko Zibar

  • 100 GHz Externally Modulated Laser for Optical Interconnects

    Oskars Ozolins;Xiaodan Pang;Miguel Iglesias Olmedo;Aditya Kakkar

  • Machine learning under the spotlight

    Darko Zibar;Henk Wymeersch;Ilya Lyubomirsky

  • Machine learning aided carrier recovery in continuous-variable quantum key distribution

    Hou-Man Chin;Nitin Jain;Darko Zibar;Ulrik L. Andersen

  • Digital Coherent Receiver for Phase-Modulated Radio-Over-Fiber Optical Links

    D. Zibar;Xianbin Yu;C. Peucheret;P. Jeppesen

  • 260 Gbit/s photonic-wireless link in the THz band

    X. Pang;S. Jia;O. Ozolins;X. Yu

  • Dual polarization nonlinear Fourier transform-based optical communication system

    Simone Gaiarin;Auro Michele Perego;Edson Porto da Silva;Francesco Da Ros

Frequent Co-Authors

Idelfonso Tafur Monroy
Idelfonso Tafur Monroy Eindhoven University of Technology
Leif Katsuo Oxenløwe
Leif Katsuo Oxenløwe Technical University of Denmark
Michael Galili
Michael Galili Technical University of Denmark
Xianbin Yu
Xianbin Yu Zhejiang University
Sergei Popov
Sergei Popov Royal Institute of Technology
Andrea Carena
Andrea Carena Polytechnic University of Turin
Gunnar Jacobsen
Gunnar Jacobsen Royal Institute of Technology
Jesper Mørk
Jesper Mørk Technical University of Denmark
John E. Bowers
John E. Bowers University of California, Santa Barbara
Mark J. W. Rodwell
Mark J. W. Rodwell University of California, Santa Barbara

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