BioED webinar 32 - Mohammad Abdolrazzaghi - Advances in microwave planar sensors using active...

BioED webinar 32 - Mohammad Abdolrazzaghi - Advances in microwave planar sensors using active circuitry embedded with ML features

In this webinar, we delve into the transformative potential of microwave sensors, a technology pivotal for the nuanced detection of material composition changes. Despite their promise, accurately measuring slight variations presents significant challenges, necessitating innovative approaches. We explore the exploitation of the coupling gap in metamaterial transmission lines as a sensitive region for enhanced sensing capabilities. Furthermore, the use of split-ring resonators (SRRs) for mechanical variation detection, including displacement, rotation, and stretch, showcases the versatility of microwave sensors in physical parameter monitoring. We highlight the advancement of active sensors, employing regenerative amplifiers and negative resistance in oscillators, to achieve unprecedented sensitivity. Additionally, we discuss leveraging mixing products as sensing signals, which significantly improves sensing performance. The integration of wireless communication protocols in sensor design broadens their applicability, while the incorporation of machine learning techniques bolsters sensor robustness and facilitates temperature compensation. This talk aims to underscore the synergy between advanced materials, cutting-edge electronics, and computational intelligence in pushing the boundaries of microwave sensing technology.
This webinar is also supported by URSI (International Union of Radio Science) and EMB chapter of the Czechoslovakia Section of IEEE

About the lecturer:

Mohammad Abdolrazzaghi (Member, IEEE) received the B.Sc. degree in electrical and computer engineering from the Iran University of Science and Technology, Tehran, Iran, in 2009, and the M.Sc. degree in electrical and computer engineering from the University of Alberta, Edmonton, AB, Canada, in 2017. He has been the Electromagnetic Modeling Lead with Phase Advances Sensors Corporation, Edmonton. He is currently pursuing the Ph.D. degree with the Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada. His current research interests include microwave sensors, dielectric measurement techniques, wireless power transfer, RF design, metamaterial, and machine learning. He received the Ontario Graduate Students Scholarship (2021) and Postgraduate Scholarship‑Doctoral (PGS D) from NSERC (2022). He serves as an Invited Reviewer at journals including IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, etc.