Projects

back to project list ITNPostDigital

ITN: PostDigital

Duration: 1/3/2020-1/3/2022

Partners:

ASTON UNIVERSITY
AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS
COMMUNAUTE D' UNIVERSITES ET ETABLISSEMENTS UNIVERSITE BOURGOGNE - FRANCHE - COMTE
IBM RESEARCH GMBH
INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM
LIGHT ON
UNIVERSITE LIBRE DE BRUXELLES
VLC PHOTONICS SOCIEDAD LIMITADA
THALES
RIJKSUNIVERSITEIT GRONINGEN

Objective:

Wanted: new information technologies to support explosive data-driven transformation of the economy and public and government activities. While there is no silver bullet when it comes to economic development, digital-driven competitiveness will play a big role in this. Europe’s future growth hinges on the development and implementation of these new technologies. The EU-funded POST-DIGITAL project will strengthen Europe’s competitiveness in the digital age. It is an interdisciplinary training network for 15 early-stage researchers comprising internationally leading teams from academia, research centres and industry. The researchers will work in interdisciplinary fields of emerging disruptive neuromorphic computational technologies and their applications. The project will empower a new generation of scientific and industrial leaders to take the lead and move beyond traditional digital methods.

INTEC's Role:

Providing training in reservoir computing, especially for telecom applications.

Project Web site: https://postdigital.astonphotonics.uk/

International Journals

S. Masaad, S. Sackesyn, Stylianos Sygletos, P. Bienstman, Experimental Demonstration of 4-Port Photonic Reservoir Computing for Equalization of 4 and 16 QAM Signals, Journal of Lightwave Technologies, (2024).
S. Masaad, P. Bienstman, Opto-Electronic Machine Learning Network for Kramers-Kronig Receiver Linearization , Optics Express, (2024) .
S. Abreu, I. Boikov, M. Goldmann, T. Jonuzi, A. Lupo, S. Masaad, L. Nguyen, E. Picco, G. Pourcel, A. Skalli, L. Talandier, B. Vettelschoss, E.A. Vlieg, A. Argyris, P. Bienstman, D. Brunner, J. Dambre, L. Daudet, J.D. Domenech, I. Fischer, F. Horst, S. Massar, C.R. Mirasso, B.J. Offrein, A. Rossi, M.C. Soriano, S. Sygletos, S.K. Turitsyn, A photonics perspective on computing with physical substrates, accepted for publication in Reviews in Physics, (to be published) .
S. Masaad, E.J.C. Gooskens, S. Sackesyn, J. Dambre, P. Bienstman, Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver, Nanophotonics, (2022) .

International Conferences

S. Masaad, S. Sackesyn, Stylianos Sygletos, P. Bienstman, Experimental Demonstration of 4-Port Photonic Reservoir Computing for Equalization of 4 and 16 QAM Signals, European Conference on Optical Communication, (2024).
P. Bienstman, A. Lugnan, S. Aggarwal, F. BrÃƒÂ¼ckerhoff-PlÃƒÂ¼ckelmann, W. Pernice, H. Bhaskaran, C. Ma, S. Sackesyn, E.J.C. Gooskens, S. Masaad, M. Gouda, R. De Prins, Optical computing in silicon photonics: self-adapting ring networks and quantum recurrent neural networks, Natural and Physical Computing (NNPC), Germany, p.1 (2023) .
Tigers Jonuzi, S. Masaad, Alessandro Lupo, J. David Domenech Gomez, P. Bienstman, Serge Massar, Numerical Analysis of a Self-Calibrating Time-Spatial Interleaving Photonic Convolutional Accelerator, Photonics in Switching and Computing, FR3A.6, Italy, p.4 (2023).
S. Masaad, E.J.C. Gooskens, S. Sackesyn, J. Dambre, P. Bienstman, Photonic Reservoir Computing for Nonlinear Equalization of 64-QAM Signals with a Kramers-Kronig Receiver, European Conference on Optical Communication, Tu4G.3 , Switzerland, (2022) .