Lecturers
Confirmed lecturers
- Alireza Marandi, Caltech, USA, Nonlinear resonator networks: from complex optics to advanced computing and sensing
- Daniel Brunner, CNRS, Scaling laws in physical neural network computing and the hidden cost of training
- Lina Jaurigue TU Ilmenau, Germany, Semiconductor Systems with Delays for Photonic Reservoir Computing/ Photonic spiking neural networks
- Sanhui Fan, Stanford University, USA, Photonic Wave Computing
- Davide Pierangeli, Sapienza University of Rome, Optical polarization for ultrafast computing
- Natalia Berloff, Cambridge, UK, Non-conventional computing and algorithms
- Apostolos Argyris, IFISC, Spain, From repetition to computation: GHz physical patterns for reservoir computing
- Adonis Bogris, UWA, Greece, Photonic Computing with programmable and trainable nonlinearity
- Alfredo De Rossi, Thales, France, Spiking nanolasers for all-optical Boltzmann machines
- Dimitra G. Georgiadou, Southampton, UK, Materials and Nanostructures for Neuromorphic Computing
- Peter Bienstman, UGent-Imec, Belgium, Using recurrent optical networks to process information
- Clara Wanjura, Max-Planck Institute, Germany, Fully non-linear neuromorphic system based on linear wave propagation
- Christian Tetzlaff, University of Goettingen, Germany, Memory Formation and Dynamics
- Herbert Jaeger, University of Groeningen, Holland, Toward formal semantics for non-digital computing
- Lorenzo Pavesi, University of Trento, Italy, Decoding neuronal networks: A Reservoir Computing approach for predicting connectivity and functionality
- Diederik Wiersma, INO-CNR, Italy, All-optical multilevel physical unclonable functions
- Bert Offrein, IBM, Switzerland, Optical computing or optics for computing
- Paul Prucnal, Princeton University, USA – Neuromorphic Photonics
- Roberto Morandotti, INRS-EMT, Montreal, Canada, Photonic real-time signal processing
- Egor Manuylovich, Aston University, UK, AI agents for research: simulations, experimental automation, and visualisation