Nakorn Kumchaiseemak

About Nakorn Kumchaiseemak

Nakorn Kumchaiseemak, Ph.D. is a Postdoctoral Researcher at Robot Navigation and Perception Lab, Centre of Applied Autonomous Sensor Systems (AASS). His research focuses on radar signal processing, radar-based machine learning and deep learning (ML/DL), synthetic aperture radar (SAR and ISAR), and radar–vision fusion system.

He received his M.S. in Physics from Kasetsart University, Thailand, and his Ph.D. in Information Science and Technology from the Vidyasirimedhi Institute of Science and Technology (VISTEC), Thailand, with fully funded by the Petroleum Authority of Thailand Public Company Limited (PTT) and Siam Commercial Bank (SCB). During Ph.D., he spent one year working with the Microwave Sensing, Signals, and Systems (MS3) group at Delft University of Technology (TU Delft), the Netherlands, as part of the Radar-aware Activity Recognition with Innovative Temporal Networks (RAD-ART) project, funded by the Dutch Research Council (NWO). Within RAD-ART, he worked on a subproject focused on head pose estimation using FMCW radar.

Also, Nakorn has a background in nonlinear physics, particularly excitable-media waves in the Belousov-Zhabotinsky (BZ) reaction during his master's studies, as well as agricultural sensing technologies, including the development of FDR soil moisture sensors for paddy fields, aiming to address the needs of Thai agriculture and contribute to the country's technological development.

His long-term research goal is to develop explainable machine learning and deep learning (ML/DL) algorithms that simplify classical signal-processing pipelines while maintaining their effectiveness and enabling practical deployment in real-world applications.