Prof. Dr. Suejit Pechprasarn
College of Biomedical Engineering, Rangsit University, Thailand
Artificial Intelligence-Based Surface Plasmon Microscopy Towards Single-Molecule Detection
Abstract
Advances in optical microscopy have continually pushed the boundaries of sensitivity and resolution, yet achieving reliable single-molecule detection remains a critical challenge. This talk presents the development of an innovative Surface Plasmon Microscopy (SPM) framework, enhanced through the integration of Artificial Intelligence (AI), to achieve ultra-sensitive, label-free detection towards the single-molecule level. Leveraging deep learning algorithms and high-performance computing, the system optimizes signal extraction, noise reduction, and image reconstruction beyond conventional methods. I will discuss the underlying physics of plasmonic enhancement, the role of Fabry-Pérot interferometry in signal amplification, and the deployment of thin-film engineering for optimizing detection conditions. Applications in biomedical diagnostics, biosensing, and materials science will be highlighted, demonstrating the transformative potential of AI-powered plasmonic technologies. The insights from this work not only advance the field of nanophotonics but also pave the way for next-generation sensing platforms capable of addressing grand challenges in healthcare and beyond.
Short biography:
Professor Dr. Suejit Pechprasarn is a distinguished physicist and engineer with expertise in plasmonic microscopy, Fabry-Pérot interferometry, and thin-film technology. His research has significantly advanced high-resolution imaging, optical sensing, and nanophotonics, particularly in biomedical and materials science applications.
He earned a Ph.D. in Electrical and Electronic Engineering from the University of Nottingham, UK. He also holds dual B.Eng. degrees: one in Electrical Engineering from Thammasat University, Thailand, and another in Electronic and Computer Engineering (First-Class Honours) from the University of Nottingham, UK. Additionally, he obtained an LLB in Thai Law from Ramkhamhaeng University, Thailand.
Currently, he is a Professor in Physics and serves as the Dean of the Graduate School at Rangsit University, overseeing research and academic development. As Head of the Center of Excellence in Artificial Intelligence and Supercomputing, he leads projects integrating AI with high-performance computing for scientific and industrial applications.
Beyond academia, Dr. Pechprasarn is a Distinguished Advisor to the Economic Commission of the House of Representatives in Thailand, providing expertise in AI policy, digital transformation, and technological development. In 2025, he was recognized as the winner of the Study UK Alumni Award in Science and Sustainability, honoring his contributions to AI-driven innovation and sustainable technology development.
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