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

Miguel_Coronado

Miguel Coronado

andres_matesanz

Andrés Matesanz

Miguel_Angel_Aragon

Miguel Angel Aragón

jorge calvo

Jorge Calvo

Rosa Lillo

Rosa Lillo

Pedro_Ramos

Pedro Ramos

RobertoAmoros-CiudadRealAI

Roberto Amorós

ricardo_guerrero

Ricardo Guerrero