Teaching is also a core part of what drives me. I view the classroom as a collaborative space where students can explore new ideas, test boundaries, and grow in confidence. It is incredibly rewarding to see students move from uncertainty to becoming capable of designing and optimizing real systems. I am particularly motivated to mentor those who are eager to extend their learning through hands-on, meaningful projects.

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My journey into technology began early. I started programming in Visual Basic and C when I was in the 5th grade. That early fascination grew into a lifelong pursuit, leading me to study Computer Science at Sirindhorn International Institute of Technology (SIIT), Thammasat University. I then earned a Master’s degree in Informatics from the Technical University of Munich (TUM), where I immersed myself in cutting-edge research and multicultural collaboration. Later, I pursued dual PhDs: one in Knowledge Science at the Japan Advanced Institute of Science and Technology (JAIST) and another in Engineering and Technology at SIIT, Thammasat University.

Early in my career, I worked at a global financial data company, where I gained experience with large-scale, real-time systems and complex data pipelines. These insights continue to shape my understanding of system reliability and performance today. Alongside my academic work, I co-founded three startups spanning health tech, travel, and computer vision for industrial applications. These ventures gave me hands-on experience in bringing innovation from prototype to product, often in fast-paced, multidisciplinary environments.

I initially joined CMKL University as an adjunct faculty member, where I discovered a vibrant and forward-thinking academic community. Inspired by the university’s vision and the students’ curiosity, I eventually decided to join full-time to further contribute to its mission, combining academic rigor with practical innovation and guiding students in leveraging deep tech to make real-world impact.

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I am deeply passionate about applying computer science to solve real-world problems, especially at the intersection of systems, intelligence, and human experience. My interests include embedded artificial intelligence, edge computing, augmented reality, and intelligent sensing. These technologies have the potential to reshape how people interact with machines and data in complex environments.

What excites me most is the opportunity to blend rigorous engineering with human-centered design. Whether I am developing a training simulator for factory operators, deploying vision-based systems for industrial automation, or applying AI in smart environments, I enjoy building systems that are both technically robust and intuitively usable. I believe innovation emerges when we combine deep technical knowledge with empathy for users.

Outside of research and teaching, I find inspiration through multidisciplinary collaboration and startup experiences. Working in startup environments has taught me valuable lessons in creativity, adaptability, and iterative thinking. These lessons continually influence how I approach both academic and applied work. At CMKL, I aim to foster a culture where technical exploration and entrepreneurial thinking go hand in hand.

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