ML_Photonica 2019, co-organised by CARDIALLY within PHOTONICA 2019

The CARDIALLY Consortium in collaboration with  Vinča Institute of Nuclear Sciences, Serbian Academy of Sciences and Arts, Optical Society of Serbia and programme partners H2020-COFUND-MULTIPLY and H2020-EID-FONTE co-organised ML-Photonica 2019 , a symposium/workshop coinciding with the biennual international conference PHOTONICA 2019
The two-day event took place 26th-27th Aug 2019 at the Serbian Academy of Sciences and Arts in Belgrade, Serbia.

DAY 1 , 26TH AUGUST 2019

Time Talk details
0845-0900 Opening session
Prof. Darko Zibar,
Prof. Sergei Turitsyn
09:00-09:45 Machine Learning for Photonics.
Prof. David Saad,
Aston University, UK
09:45-10:30 Machine learning in photonic communication systems
Dr. Darko Zibar,
DTU, Denmark
11:00-11:45 Nonparametric Bayesian methods for networks.
Prof. Ljupco Kocarev,
Macedonia Institute of Sciences
11:45-12:30 Pre- and post-transmission digital signal processing using neural networks applied to fiber-optic communication systems relying on power modulation and power detection : Advantages and drawbacks
Dr. Mathieu Chagnon,
Bell Labs, Stuttgart
14:00-14:45 Scaling in optical neural networks: energy, substrates, noise and learning.
Dr. Daniel Brunner,
FEMTO-ST, France
14:45-15:30 Ising machines and Random Optical Networks by tumor spheroids.
Prof. Claudio Conti,
University of Sapienza, Rome.
16:00-16:30 Mode-locked fibre laser controlled by machine learning algorithms
Dr. Alexey Kokhanovskiy,
Novosibirsk State University, Russia
16:30-17:00 Roadmap from Academia to IT industry.
Dr. Igor Ilic,
Microsoft Development Center, Serbia.


DAY 2, 27TH AUGUST 2019

Time Talk Details
09:00-09:45 Using Machine Learning to ‘Predict’ Extreme Events in Fiber-Optics Instabilities from Single-shot Spectral Measurements.
Prof. Goery Genty,
Tampere University of Technology, Finland
09:45-10:30 Optimization and configuration of Programmable Photonics ICs. 
Dr. Daniel Lopez Perez,
Universitat Politècnica de València, Spain
11:00-11:45 Imaging with scattered light.
Dr. Ori Katz,
Department of Applied Physics, Hebrew University, Israel
11:45-12:30 Deep, fast and few: enhanced molecular imaging via spatial light modulators.
Dr. Hilton B. De Aguiar,
ENS Paris
14:00-14:45 Matrix vs Machine Learning for transmitting images through multimode fibers. 
Prof. Christophe Moser,
EPFL, Lausanne
14:45-15:30 Defibrillation outcome prediction as a potential guide to resuscitation
Dr. Marija Ivanovic,
16:00-16:30 Greedy Boolean Learning in Photonic Recurrent Neural Networks
Dr. Xavier Porte Parera,
FEMTO-ST, France
16:30-17:00 Computationally intelligent characterization of a photoacoustic detector
Dr. M. Pavlović

ML-Photonica_twitter photos

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