Pedro Freire to speak at AI Ukraine 2021

TRANSNET student member Pedro Freire, based at the Aston Institute of Photonic Technologies (AIPT), is speaking at the upcoming AI Ukraine 2021 conference.

AI Ukraine 2021 takes place this coming Saturday (30 October) and brings together experts working in artificial intelligence, data science, machine learning and big data technology. The conference is taking place online and incorporates three streams: Data Science and Machine Learning; Artificial Intelligence for Business and Products; and Data Engineering and MLOps.

The vast array of speakers includes representatives from Google, Samsung, Microsoft and of course TRANSNET student member Pedro Freire.

Pedro is based at the Aston Institute of Photonic Technologies (AIPT) and an early career researcher as part of REAL-NET, a doctoral-level training network funded by the European Commission under Horizon 2020. His research focuses on machine learning solutions to improve channel capacity in high-speed optical fiber communications.

At AI Ukraine 2021 Pedro will be delivering the talk ‘Neural network in high-speed optical fiber communications’ under the Data Science and Machine Learning stream. He will review the neural network techniques for signal recovery in optical transmission systems, where the neural network equalisers must deal with considerable nonlinearity and with bi-directional memory effects.

Don’t miss the opportunity to hear Pedro speak at AI Ukraine – further details below. 

AI Ukraine 2021 speaker information: Pedro Freire

Speaker: Pedro Jorge Freire
Title: Neural network in high-speed optical fiber communications
Date: Saturday 30 October 2021
Time: 15:55 BST (17:55 EEST)
Conference website: (students can register to access the streams for free) 

Recent publications by Pedro Freire

Pedro has been a member of the TRANSNET Programme since 2019. He holds a prestigious Marie-Curie (MSCA) doctoral fellowship and is currently working towards his PhD on machine learning techniques to mitigate nonlinear impairments in multi-user optical fiber systems at AIPT as part of the REAL-NET consortium.