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Focus Session 5

Aida Todri-Sanial

CNRS, France
Presenter Bio

Aida Todri-Sanial received the B.S. degree in electrical engineering from Bradley University, IL in 2001, M.S. degree in electrical engineering from Long Beach State University, CA, in 2003 and a Ph.D. degree in electrical and computer engineering from the University of California, Santa Barbara, in 2009. She is currently a Director of Research for the French National Council of Scientific Research (CNRS) attached to Laboratoire d’Informatique de Robotique et de Microélectronique de Montpellier (LIRMM). Dr. Todri-Sanial was a visiting fellow at the Cambridge Graphene Center and Wolfson College at the University of Cambridge, UK during 2016-2017. Previously, she was an R&D Engineer for Fermi National Accelerator Laboratory, IL. She has also held visiting research positions at Mentor Graphics, Cadence Design Systems, STMicroelectronics and IBM TJ Watson Research Center. Her research interests focus on emerging technologies and novel computing paradigms such as neuromorphic and quantum computing. Web:

Abstract: Exploring 1D and 2D Nanomaterials for Health Monitoring Wearable Devices
We are witnessing a proliferation of wearable devices in all aspects of our lives, and they are having a tremendous impact on personalized medicine. In this talk, we will report on wearable devices for health monitoring. We will present our research on hybrid nanocomposite-based stretchable strain sensors with 1D sensing material wrapped within dragon-skin (DS) polymer to form a sandwich-like structure. The strain sensors include macro channels filled with one-dimensional inorganic materials (MWCNTs or AgNWs) and organic silicone polymer. Such sensors are employed to monitor subtle and large human body movements such as fingers, wrist, artificial knee joint, and respiratory movements. We will also present our research on exploring 2D MoS2 material for strain and field-effect biosensing application. Integration of 2D nanomaterials into electrical devices offers substantial advantages such as high sensitivity and low form factor for wearable biosensing applications.

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