Schedule
Day 1 , 26th August 2019
(Scroll Down for Day 2)
| Time | Talk details |
|---|---|
| 0845-0900 | Opening session Prof. Darko Zibar, Prof. Sergei Turitsyn |
| 0900-0945 | Machine Learning for Photonics. Prof. David Saad, Aston University, UK |
| 0945-1030 | Machine learning in photonic communication systems Dr. Darko Zibar, DTU, Denmark |
| 1030-1100 | Coffee Break |
| 1100-1145 | Nonparametric Bayesian methods for networks. Prof. Ljupco Kocarev, Macedonia Institute of Sciences |
| 1145-1230 | 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 |
| 1235-1400 | Lunch Break |
| 1400-1445 | Scaling in optical neural networks: energy, substrates, noise and learning. Dr. Daniel Brunner, FEMTO-ST, France |
| 1445-1530 | Ising machines and Random Optical Networks by tumor spheroids. Prof. Claudio Conti, University of Sapienza, Rome. |
| 1530-1600 | Coffee Break |
| 1600-1630 | Mode-locked fibre laser controlled by machine learning algorithms Dr. Alexey Kokhanovskiy, Novosibirsk State University, Russia |
| 1630-1700 | Roadmap from Academia to IT industry. Dr. Igor Ilic, Microsoft Development Center, Serbia. |
Day 2, 27th August 2019
| Time | Talk Details |
|---|---|
| 0900-0945 | Using Machine Learning to ‘Predict’ Extreme Events in Fiber-Optics Instabilities from Single-shot Spectral Measurements. Prof. Goery Genty, Tampere University of Technology, Finland |
| 0945-1030 | Optimization and configuration of Programmable Photonics ICs. Dr. Daniel Lopez Perez, Universitat Politècnica de València, Spain |
| 1030-1100 | Coffee Break |
| 1100-1145 | Imaging with scattered light. Dr. Ori Katz, Department of Applied Physics, Hebrew University, Israel |
| 1145-1230 | Deep, fast and few: enhanced molecular imaging via spatial light modulators. Dr. Hilton B. De Aguiar, ENS Paris |
| 1235-1400 | Lunch |
| 1400-1445 | Matrix vs Machine Learning for transmitting images through multimode fibers. Prof. Christophe Moser, EPFL, Lausanne |
| 1445-1530 | Defibrillation outcome prediction as a potential guide to resuscitation Dr. Marija Ivanovic, DIASENS, Serbia |
| 1530-1600 | Coffee Break |
| 1600-1630 | Greedy Boolean Learning in Photonic Recurrent Neural Networks Dr. Xavier Porte Parera, FEMTO-ST, France |
| 1630-1700 | Computationally intelligent characterization of a photoacoustic detector Dr. M. Pavlović |