50 citations · 67 across the 6 of their papers we have counts for
7 papers
Fostering cultural change in research through innovative knowledge sharing, evaluation, and community engagement strategies
Junsuk Rho, Jinn-Kong Sheu, Andrew Forbes +30
Bringing together researchers, funders, industry partners, and publishers from 14 countries across 5 continents, we advance the debate around open-science, assessment and learning.…
Temporal pattern generation with tunable repetition rate using semiconductor laser periodic dynamics
Apostolos Argyris
In this work, a long-cavity semiconductor laser subject to optical feedback is exploited to generate repetitive temporal patterns with enhanced intra-pattern sample diversity. Stab…
Experimental demonstration of bandwidth enhancement in photonic time delay reservoir computing
Irene Estebanez, Apostolos Argyris, Ingo Fischer
Time delay reservoir computing (TDRC) using semiconductor lasers (SLs) has proven to be a promising photonic analog approach for information processing. One appealing property is t…
Microring resonators with external optical feedback for time delay reservoir computing
Giovanni Donati, Claudio R. Mirasso, Mattia Mancinelli +2
Microring resonators (MRRs) are a key photonic component in integrated devices, due to their small size, low insertion losses, and passive operation. While the MRRs have been estab…
56 GBaud PAM-4 100 km Transmission System with Photonic Processing Schemes
Irene Estébanez, Shi Li, Janek Schwind +3
Analog photonic computing has been proposed and tested in recent years as an alternative approach for data recovery in fiber transmission systems. Photonic reservoir computing, per…
PAM-4 Transmission at 1550nm using Photonic Reservoir Computing Post-processing
Apostolos Argyris, Julián Bueno, Ingo Fischer
The efficacy of data decoding in contemporary ultrafast fiber transmission systems is greatly determined by the capabilities of the signal processing tools that are used. The recei…
Photonic machine learning implementation for signal recovery in optical communications
Apostolos Argyris, Julián Bueno, Ingo Fischer
Machine learning techniques have proven very efficient in assorted classification tasks. Nevertheless, processing time-dependent high-speed signals can turn into an extremely chall…