Julian Roqui in immersion at LEAT: a good example of successful tutorship

Even if, for the moment, the team is working by videoconference, the LEAT team formed around the tutorship of Julian Roqui, a first-year master's student in electronics, hopes to be able to travel to Montreal in July for the largest international conference on antennas for which it has successfully submitted a publication.

Students enrolled in the tutoring program of the Digital Systems for Humans Graduate School are given the opportunity to conduct research by participating in a laboratory imersion experience starting from the very first semester of their master's program. Supervised by a professor-tutor, students join a project and discover the daily activities of researchers.

For this second semester of the academic year 2019/2020, 12 students agreed to take up the challenge. An article was previously written about Lionel Tombakdjian and his highly successful tutoring experience. Once again, the LEAT laboratory gave a first-year master's student in electronics the opportunity to shine. This time it was Julian Roqui, a first-year master's student in electronic.

Original scientific research

With his tutors Alain Pegatoquet (associate professor) and Leonardo Lizzi (associate professor) and two doctoral students Luca Santamaria and Lyes Khacef (doctoral student), Julian participated in original research using a machine learning algorithm to estimate, in real and practical cases, the performances obtained by miniature antennas integrated in compact terminals, such as those used in the Internet of Things (IoT). The literature so far had only focused on purely theoretical performance limit estimates.

The whole team were extremely proud to learn that the publication that came out of their research had been accepted by the "IEEE Antennas and Propagation Symposium". This international conference brings together nearly 1,500 participants each year. It should be held in Montreal from July 5 to 10, 2020 if the global health situation allows it.

New avenues for research

The positive benefits of Julian's experience as a tutored student don't stop there. Two LEAT teams have now embarked on a new colloboration: the CMA team (antenna design and modeling) for the antenna part and the EDGE team (edge computing and digital systems) for the machine learning part, in the spirit of transdisciplinarity dear to DS4H. A Ph.D. research proposal was also issued as a result of the tutoring program. Too bad that Julian, who still has to finish the second year of his master's degree, can't apply!


Read the publication:

Julian Roqui, Luca Santamaria, Lyes Khacef, Alain Pegatoquet, Leonardo Lizzi. Estimation of Small Antenna Performance Using a Machine Learning Approach. 2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, IEEE, Jul 2020, Montreal, Canada. pp.1-2. ⟨hal-02515496⟩