International Conference on Optics and Laser technology

October 24-25,2024 | Paris, France

Terahertz Spectroscopy for NDT in Printed Electronics

Mariia Zhuldybina

ETS Higher Technology School, Canada

Biography :

Mariia Zhuldybina earned her PhD in Electrical Engineering in 2021 from the Ecole de technologie superieure (ETS), Montreal, QC, Canada. She is currently an institutional researcher in the Electrical Engineering Depart­ment at ETS, where her research focuses on advanced terahertz spectroscopy and its applications for devel­opment of 6G communication. Before joining ETS, she worked at the Institute of Graphic Communications and Printability (ICI), a leading research center specializing in scaling up printing technologies for industrial appli­cations. During her time at ICI, she gained extensive expertise in printing techniques such as inkjet, flexography, and screen printing. In addition to her research, Mariia is the co-founder of TRAQC, a startup dedicated to inte­grating AI-assisted terahertz measurement systems into manufacturing lines for quality control.

Abstract :

Recent advances in printed electronics (PE) highlight the need for efficient, in-situ, non-de­structive quality control methods to ensure the reliability of flexible electronic devices. Tra­ditional quality control methods such as optical and electron microscopy are effective but slow and limited in scope. This review explores terahertz (THz) spectroscopy as a promising solution for real-time, contactless inspection of printed electronics. By leveraging the electro­magnetic properties of THz waves, particularly when paired with metamaterials, the system allows for the precise monitoring of electrical conductivity and geometrical accuracy during high-speed roll-to-roll (R2R) printing. Studies demonstrate that THz-based inspection out­performs conventional techniques, offering more accurate and scalable options for assess­ing ink distribution, pattern integrity, and conductivity in printed devices. As THz technology continues to evolve, it shows potential to enable closed-loop quality control systems in smart manufacturing environments.