My research focuses on Learning Representations as the foundation of next-generation AI, integrating mathematical optimization, symbolic reasoning, and compositional world models. I focus on Autonomy-Driven Interpretability to enable auditable and controllable large-scale models. Through AI for Social Good, I aim to build AI agents that can reason, adapt, and align with human values.
Previously, I founded and built MARSAIL, an AI laboratory developing principled, scalable and interpretable systems for the automotive insurance ecosystem. Currently, I serve as a C2F Postdoctoral Fellow at Chulalongkorn University, Adjunct Professor at Khon Kaen University, and founder of PBYAIL. With a strong focus on research excellence, I received my Ph.D. in Computer Engineering from Chulalongkorn University.
With great honor, I will be joining the Government Savings Bank (GSB) as Deputy Director of AI, where I aim to lead strategic AI innovation and advance trustworthy, scalable, and interpretable systems for Thailand’s national banking ecosystem.
Detailed summaries of my academic, industry, and teaching experience can be found in my CV or IEEE Biography, and get a glimpse into my personal life on my blog and tumblr. By the way, feel free to vibe to my music on SoundCloud and my UTMB World.
Thai name: ธีรพงศ์ ปานบุญยืน, aka Kao Panboonyuen, or just Kao (เก้า).
- Applied Earth Observations
- Geoscience and Remote Sensing
- Computer Vision
- Semantic Distillation
- Human-AI Interaction
- Learning Representations
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PostDoc Fellow in AI, 2027
Chulalongkorn University
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PhD in Computer Engineering, 2020
Chulalongkorn University
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MEng in Computer Engineering, 2017
Chulalongkorn University
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BEng in Computer Engineering, 2015
KMUTNB (Top 1% in University Mathematics)
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Pre-Engineering School (PET21), 2012
KMUTNB (Senior High School, 10th - 12th Grade)