Title: Graphene and beyond for Lab-on-chip biosensor: a beginning of a new More-than-Moore era in CMOS Si foundries?

Biography:

Dr. Mohamed Azize received his M.S. and Ph.D. (2006) degrees in Physics from University of Montpellier II and University of Sophia-Antipolis in France, respectively. His expertise is around semiconductor material processing & devices for micro-& opto-electronic and sensors. He has been working in world-class research laboratories since 2002: CQD Northwestern University (USA), CRHEA-CNRS and CEA labs in France, and MTL lab at MIT (Cambridge, MA USA). He has authored more than 47 scientific articles and more than 10 granted patents. He has been involved in multiple start ups at C- and director levels and his groundbreaking work on wide-band gap semiconductor used in HEMT and LEDs devices that have been converted to commercial products by  French and US start ups. Currently he is a technical leader/manager in the Biosensor group at ADI and also is adjunct research assistant professor at Boston University in the division of Material Science and Engineering.

Abstract

Statement of the Problem: This pandemic has made clear that a much improved molecular and serological diagnostic testing solution is required for preventing the spread of infectious diseases. Most current testing for the virus requires analysis by trained technicians operating expensive equipment in centralized laboratory facilities. Therefore an immeasurable need for a point-of-care test solution with minimal user operation is needed to be deployed at scale. Methodology & Theoretical Orientation: The main components of a low-cost and disposable ADI biosensor are: (1) a protein-based recognition element, which selectively interacts with a target analyte, (2) a 2D material-based transducer element, which converts the interaction into a detectable signal, and (3) ADI read-out electronics, which further process the transducer signal and produce an intelligible sensor output. This full system can be integrated into a single chip, providing a robust platform for rapid detection and quantification of biological analytes for everyday diagnosis monitoring