Participants

16 November 2023

14:50 – 15:35

Amphithéâtre Say

 

Hakeim Talleb

Hakeim Talleb is a lecturer at the GeePs (Génie Electrique et Electronique de Paris) laboratory at Sorbonne University, where he also holds the position of Vice-Chairman of the Teaching Committee at the Engineering UFR. His expertise concerns the multiphysics modeling of sensors based on functional materials, and more specifically the study of microenergy sources using magnetoelectric materials. In 2016, he obtained his HDR and was promoted to Senior Member of the IEEE, in recognition of his contributions to the field of electronic engineering. From 2019 to 2021, he was appointed expert at ANSES (Agence nationale de sécurité sanitaire de l’alimentation, de l’environnement et du travail), where he took part in a working group tasked with assessing the potential risks associated with the emerging 5G technology. Throughout his career, he has published numerous scientific articles, both in journals and at international and national conferences, contributing to the advancement of knowledge in the field of sensors and functional materials. His research work aims to develop innovative and efficient sensors, opening up new perspectives for practical applications and technology improvement.

Conference: How can magnetoelectric energy help connected objects meet the energy challenge?

The emergence of connected objects is leading to a significant increase in the use of batteries, which consume a lot of energy in their manufacture and complex recycling. As a result, it is becoming imperative to find alternatives for efficiently powering the connected objects of the future. Among the options available to reduce this dependence on polluting elements, magnetic remote powering stands out as a way of making connected objects more sustainable and environmentally-friendly. This presentation will highlight an innovative new solution that combines the piezoelectric and magnetostrictive properties of magnetoelectric composite materials. These exceptional characteristics pave the way for greater autonomy in future connected objects, while also facilitating their implementation in complex environments such as the human body for biomedical applications.