Chulalongkorn University · Bangkok, Thailand

PBY Artificial
Intelligence Laboratory

Ethical AI research at global scale — leveraging Earth‑observation data and responsible AI to protect our planet.

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40+
Publications
C2F
PostDoc Fellow
GYSS
2025 Awardee
IEEE
Published
About the Lab

Where Geospatial Data
Meets Deep Intelligence

PBYAIL is a research group at Chulalongkorn University dedicated to advancing AI methods for Earth observation, cadastral systems, and geospatial intelligence. We build systems that are autonomy-driven, interpretable, and designed for real-world impact at national scale.

🛰️
Earth Observation
Satellite & aerial imagery analysis for spatial decision-making
🧠
Deep Learning
Novel architectures for vision and segmentation tasks
🗺️
Geo-AI
AI-powered land administration & cadastral digitization
⚖️
Responsible AI
Ethical, interpretable systems with societal benefit

PBY
AI Lab

Est. Chulalongkorn
University

💡 Fun Fact
P
Panboonyuen
ปาน
B
Panboonyuen
บุญ
Y
Panboonyuen
ยืน

The lab name honors the family name of its founder — Dr. Teerapong Panboonyuen.

ชื่อย่อ PBY ย่อมาจากนามสกุล ปานบุญยืน ของผู้ก่อตั้งห้องปฏิบัติการ ดร.ธีรพงศ์ ปานบุญยืน

Research Areas

Our Focus Domains

01
🛰️
AI for Earth Observation
Developing deep learning systems for satellite and aerial image interpretation at national scale, enabling precise land-use mapping and environmental monitoring.
02
🔀
Multimodal Machine Learning
Fusing heterogeneous data sources — imagery, text, geospatial signals — into unified representations that power richer environmental understanding.
03
🌊
Diffusion Models
Applying generative diffusion models to remote sensing synthesis, data augmentation, and uncertainty-guided segmentation for high-stakes applications.
04
📍
Geospatial Intelligence
Converting raw geographic data into actionable intelligence for land administration, urban planning, and infrastructure decision-making.
05
⚖️
Responsible & Ethical AI
Ensuring AI systems deployed in government and civic contexts are fair, transparent, and aligned with human values — AI for Social Good.
06
🤝
Human–AI Interaction
Building interfaces and models that enable natural, intuitive collaboration between humans and intelligent systems in professional workflows.
The Team

People

Teerapong Panboonyuen
Teerapong Panboonyuen
Founder & Lead Researcher
Senior Research Scientist (Head of AI)
PBYAIL
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+
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We are looking for passionate
researchers and students
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Selected Works

Publications

IEEE TGRS
KAO: Kernel-Adaptive Optimization in Diffusion for Satellite Image
Teerapong Panboonyuen
IEEE Transactions on Geoscience and Remote Sensing · 2025 · DOI 10.1109/TGRS.2025.3621738
arXiv
Foundations and Architectures of Artificial Intelligence for Motor Insurance
Teerapong Panboonyuen
arXiv:2603.18508 · 2026 · 173 pages · DOI 10.48550/arXiv.2603.18508
EJRS
GuidedBox: A Segmentation-Guided Box Teacher-Student Approach for Weakly Supervised Road Segmentation
Teerapong Panboonyuen
European Journal of Remote Sensing · Vol. 58, No. 1 · 2025 · Taylor & Francis
IEEE Access
SatDiff: A Stable Diffusion Framework for Inpainting Very High-Resolution Satellite Imagery
Teerapong Panboonyuen
IEEE Access · 2025 · IEEE
Remote Sensing
MeViT: A Medium-Resolution Vision Transformer for Semantic Segmentation on Landsat Satellite Imagery for Agriculture in Thailand
Teerapong Panboonyuen
Remote Sensing · Vol. 15, No. 21, p. 5124 · 2023 · MDPI
View All Publications
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Collaborate With Us

We welcome collaborations with researchers, institutions, and industry partners working at the intersection of AI and geospatial intelligence.

🌐 Personal Website 🤖 MARSAIL Lab ✉️ Email Us