Postdoctoral Fellow in Massachusetts Institute of Technology

Jamal Toutouh

I am currently an MSCA Global fellow at MIT, where I am exploring the application of nature-inspired algorithms to Deep Learning. The main idea is to devise new methods based on co-evolutionary algorithms to train and optimize Deep Neural Networks to improve the efficiency and efficacy of the state-of-the-art methodology, and therefore, allow the use of Deep Learning in problems that currently are difficult to address. We are focusing on Generative Models (such as GANs) and Recurrent Neural Networks. Besides, I am using this new Deep Learning methodology into two significant use cases for our society: cybersecurity and smart cities.

jamal_toutouh

I am currently an MSCA Global fellow at MIT, where I am exploring the application of nature-inspired algorithms to Deep Learning. The main idea is to devise new methods based on co-evolutionary algorithms to train and optimize Deep Neural Networks to improve the efficiency and efficacy of the state-of-the-art methodology, and therefore, allow the use of Deep Learning in problems that currently are difficult to address. We are focusing on Generative Models (such as GANs) and Recurrent Neural Networks. Besides, I am using this new Deep Learning methodology into two significant use cases for our society: cybersecurity and smart cities.

Conoce a otros miembros del equipo

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Néstor Álvaro

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Ruth Falquina

Javier Montaño Valladolid AI

Francisco Javier Montaño García

jose_miguel_bolarin

Jose Miguel Bolarin

alba

Alba Pérez

JC-Avecilla-CadizAI

JC avecilla

juan_j_merelo

Juan J. Merelo

Jordi Aguila

Jordi Aguila

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