Confirmed Lecturers

 

  • Nathan Kutz, University of Washington, USA: Machine Learning for Physics Discovery and Control in Optical Systems
  • Demetri Psaltis, EPFL, Switzerland: Machine learning in imaging in complex optical media
  • Serge Massar, ULB Bruxelles, Belgium: Towards high-performance spatially parallel optical reservoir computing
  • Goery Genty, Tampere University, Finland: Machine learning analysis of extreme events in optical modulational instability
  • Darko Zibar, DTU, Denmark: Machine learning techniques for optical communications
  • Shuangyi Yan, University of Bristol, UK: Machine-learning applications in future optical networks
  • Stéphane Barland, Institut Non Linéaire de Nice, France: Resonator neuron and triggering multipulse excitability in laser with injected signal
  • Diederik Wiersma, LENS Lab, Italy, Nanophotonics-based micro robotics
  • Lorenzo Pavesi, Università di Trento, Italy: Relationship between brain connectivity and function by integrated photonics
  • Ingo Fisher, CSIC-UIB, Spain: Ultrafast photonic reservoir computing: from fundamental properties to real-world applications
  • P.T. Lau, The Hong Kong Poly University, Hong Kong: Machine learning applications in optical Communications and Networks
  • Benjamin Wetzel, XLIM France: Nonlinear guided optics & applications: from ultrashort pulse processing to multidimensional control
  • Claudio Conti, CNR-ISC, Italy: Neuromorphic computing and Ising machines by wave
  • Daniel Brunner, Institut Femto, France: How to do reservoir computing with photonic systems; 3D photonic integration for scalable photonic neural networks
  • Mathieu Chagnon, Nokia Bell Labs, Germany: Reinventing Communication Methods with Machine Learning: From Bits-in to Bits-out
  • Jakob Hoydis, Nokia Bell Labs, France ML in wireless communications
  • David Saad, Aston University, UK: Machine learning beyond the hype – principled methods for photonics
  • Aurelio Uncini, Sapienza University of Rome: Deep Neural Networks: New Trends and Perspective for Big-Data Applications