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Julian Bueno


  • United Kingdom


Research output per year

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Personal profile

Personal Statement

My research focuses on building neural networks with photonic and optical hardware for ultrafast and efficient information porcessing. I have worked with different systems and concepts including:

  • Photonic neurons: edge emitter laser, VCSELs, and even Spatial Light Modulators.
  • Kinds of Neurons: excitable/spiking and chaotic.
  • Architectures: Feed Forward Networks, Recurrent Neural Networks, Reservoirs, and Time Delay Reservoirs.
  • Trainings: Supervised Learning, and Reinforced Learning.
  • Applications: prediction (e.g. prediciton of chaotic timeseries) and classification tasks (e.g. equalizators, nonlinear compensation for improved SNR...).
  • Optical systems in fiber based and free space optics.

Each feature has its own advantages and challenges, impacting in the overall device specifications and performance. I study their properties and capabilities, what they can do and why they can do it, because I want to design and build the most efficient and capable neural networks, operating at the speed of light, and harnessing the computational power of nonlinear systems.

I am eager to include more hardware and ideas into the mix. Feel free to contact me if you have some idea that could help us both.


  • Semiconductor Lasers
  • Nonlinear dynamics
  • Photonics
  • Neural Networks
  • Reservoir Computing
  • Lasers
  • Nonlinear Photonics


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