Bio:

Swan GEROME is Technology Partnership Manager within the Systems Department, with a focus on RF and Telecommunications at CEA-Leti.
He holds a degree in Marketing and Sales Management from Grenoble IAE and has over 15 years of experience in the semiconductor industry across materials, design, and research companies.

From 2008 to 2014, he served as Sales Manager at Dolphin Integration, developing business for ASIC design, analog silicon IP, and libraries for foundries, fabless companies, design houses, and OEMs. He also managed a team of sales coordinators in Asia (Japan, South Korea, and Taiwan) as well as in Europe.

He joined CEA-Leti in 2015 as Industrial Partnership Manager for the Systems Department, covering sensor integration, energy management, embedded data processing, and RF telecommunications (antenna design and integration, protocols development, and RFIC design). In this role, he developed partnerships with national and international companies, ranging from startups to Big Tech.

Between 2022 and 2023, he was Product Marketing Manager for the Connect-SOI Business Unit at Soitec, where he developed the roadmap for engineered silicon substrates for RF applications and launched new products to address market requirements.

Abstract:

Harnessing dielectric permittivity the property that describes how electric fields propagate through matter CEA‑Leti researchers have built a non‑invasive, chip‑scale technology that maps the hidden electrical signatures of cells and materials.

The device emits radio‑frequency from 30KHz to 30GHz, captures transmitted and reflected signals, and decodes them with a silicon‑integrated vector network analyzer (VNA). This yields an ultra‑miniaturized, low‑cost, low‑power, wide‑band system that can be embedded in portable and wearable devices.

This session will show how CEA-Leti enables non-invasive detection across multiple sectors, such as health care, wellness, agri-food, and automotive by converting dielectric permittivity maps into actionable insights. The technology unlocks a world of applications ranging from cancerous-cell detection, hydration monitoring, process monitoring, and proximity detection.