I am a full-time lecturer in the Department of Computer Engineering at Kasetsart University (KU) and the leader of a biometric research group under the Kasetsart Signal and Image Processing (KSIP) laboratory. I currently conduct research on biometric applications (including verification and presentation attacks). My interests are centered around machine learning, signal processing, and image processing.

I earned my Doctor of Engineering (D.Eng.), Master of Engineering (M.Eng.), and Bachelor of Engineering (B.Eng.) in electrical engineering from Kasetsart University. During my academic tenure, I served as an assistant researcher in the Biometric System and Digital Image Processing Hardware project funded by The National Electronics and Computer Technology Center (NECTEC). This project aimed to develop fingerprint and iris recognition algorithms and implement the application's system software to remotely manage a group of 255 edge devices.

Prior to my current role, I earned 5 years of hands-on experience (from 2006 to 2011) as a Senior Software Engineer in the FinTech industry at Reuters Software (Thailand) Limited (now a Thomson Reuters Company). In this position, I developed commercial software to handle the stock market's quotes, charts, and news within Reuters' real-time data feed. I also enhanced the market data feed capacity on the production site.

From 2011 to 2024 (13 years), I transitioned to an academic role as a ground instructor in the Aeronautical Engineering Division at the Civil Aviation Training Center (CATC), Thailand. I acquired knowledge of communication, air navigation, surveillance (CNS), and satellite-based navigation systems (or GNSS). My research focused on radio-based air navigation signal inspection using software-defined radio platforms. I hold a patent and have publications related to the "Flyceiver" design, which is a drone-based aeronautical radio inspection service.