Dr. Jamal Toutouh obtained his PhD in Computer Engineering at the University of Malaga (Spain). His PhD research was focused on the use of algorithms inspired by nature, such as the evolution of the species or the behavior of the birds in a flock, to address smart city problems. Specifically, he tackled optimization problems related to smart mobility, smart traffic management, vehicular communications, etc., to improve efficiency and safety during road trips. His PhD dissertation, that he finished with the highest mark (Summa Cum Laude), was honored with three prestigious awards (Best PhD Thesis Award sponsored by the University Chair – Aytos-Berger Levrault – on the Development of Smart Governance, Best Spanish PhD Thesis in Smart Cities – sponsored by the Spanish Network on Research for Smart Cities, and Best PhD Thesis Award of the University of Malaga). He collaborates with several researchers of international institutions, such as the University of Luxembourg, the University of the Republic in Uruguay, CENTRIA in Finland, and the QMIC research center in Qatar, among others.
Dr. Jamal is currently a MSCA Global fellow at MIT (MIT Computer Science & Artificial Intelligence Lab), where he is going to explore the application of nature-inspired algorithms to an exciting new research field, 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. Jamal is additionally using this new Deep Learning methodology to two significant use cases for our society: cybersecurity and smart cities. Being at MIT allows him to work and connect with world-class researchers in the fields involved in his research.
I am a sociologist and demographer at the Centre d’Estudis Demogràfics in Barcelona, and a Marie Skłodowska Curie Postdoctoral Fellow since October 2016. I was thrilled to spend the two-year outgoing phase of the project in the Department of Sociology at Harvard University. My research examines family and fertility patterns in postindustrial societies and the role of gender egalitarian attitudes and behaviors, labor-market conditions, and family policy provisions in family formation decisions in several country contexts. In my project, I combine qualitative and quantitative methodologies along three axes of comparative analysis: cross-country, longitudinal, and historical.
I encourage everyone seeking for research excellence and the internationalization of their careers to apply for a Marie Skłodowska Curie Individual Fellowships.