Secure Wireless Localization and Sensing for Digital Health

The PhD candidate will work on the ANR funded JCJC project SecLoc, which is entitled “Secure vital signs and location estimation: A smart health vision via RF sensing”. The project positions itself at the technological forefront, aiming to tackle the challenges of privacy-preserving real-time multi-target joint vital signs and location estimations in the dynamic residential contexts, thus providing clinical-level insights for the early diagnosis and therapeutic intervention given by healthcare professionals. Three main objectives will be covered in this project. Specifically, 1) By analyzing sophisticated channel properties, the accurate location determination can be achieved through pervasively available and low-cost Wi-Fi fingerprinting scheme. 2) Meanwhile, mmWave MIMO radars will be exploited to carry out motion-robust contextadaptive vital signs estimations (i.e., respiration and heartbeat) by developing beyond state-of-the-art machine learning techniques. 3) Moreover, an innovative seamless and secure data fusion strategy along with reconfigurable intelligent surfaces will be investigated, designed and validated in multiple realistic scenarios, boosting capabilities for both localization and sensing.

Contrat doctoral

ANR

The PhD candidate will join the ETIS Laboratory (UMR 8051) and will work under the supervision of Prof. Arsenia (Ersi) Chorti and Dr. Luan Chen (for informal inquiries please email luan.chen@ensea.fr). The PhD position will be located at the École Nationale Supérieure de l'Électronique et de ses Applications (ENSEA), at Cergy (Grand Paris), France.

Applicants must have a master degree in a relevant area, e.g., signal processing for wireless communications, IoT systems/technologies, machine learning based radio applications. He/She should be familiar with key engineering programming languages (e.g., Python, R, Matlab, etc.). Strong interpersonal and communication skills, and the ability to work effectively in a team will be essential. Advanced level of the English language is required.