Staff Page / Researcher
Ye Htet

- Research Departments・Position
- Environmental Coexistence
Research Associate - Area
- Computer Science, AI and Machine Learning, Digital Healthcare, Smart Agriculture, Environmental Monitoring
- Research Interests / Keywords
- Image and Text Analysis, Multimodal Frameworks for Sustainable Systems, Remote Sensing
- Contact
- yehtet@cseas.kyoto-u.ac.jp
Ye Htet
Overview
My academic journey began in Electronics Engineering, but over time, I transitioned into Computer Science. Before joining CSEAS, I had the opportunity to contribute to research in digital healthcare for senior citizens and smart agriculture in Japan, where I learned the importance of adaptability and continuous learning. These experiences shaped my perspective on how technology can address real-world challenges, which naturally led me to explore interdisciplinary approaches to problem-solving.
As I step into the research environment at CSEAS as a Burmese researcher, I am particularly inspired by the commitment of scholars engaged in area studies, dedicated to understanding cultural diversity, historical depth, and socio-economic challenges. Motivated by this intellectually stimulating environment, alongside a personal commitment to addressing challenges in my home country, my current research focuses on developing an integrated approach to assess post-earthquake damage using remote sensing, deep learning, and social media analytics, with particular emphasis on the 2025 Sagaing Earthquake in Myanmar (Burma). By fusing geospatial data and AI techniques, this study aims to develop a reliable, and socially informed framework for disaster response and recovery in a data-scarce, low-resource setting. The intended outcomes include damage evaluation, urban reconstruction planning, and public sentiment analysis, ultimately contributing to improved disaster resilience in Myanmar.
As I step into the research environment at CSEAS as a Burmese researcher, I am particularly inspired by the commitment of scholars engaged in area studies, dedicated to understanding cultural diversity, historical depth, and socio-economic challenges. Motivated by this intellectually stimulating environment, alongside a personal commitment to addressing challenges in my home country, my current research focuses on developing an integrated approach to assess post-earthquake damage using remote sensing, deep learning, and social media analytics, with particular emphasis on the 2025 Sagaing Earthquake in Myanmar (Burma). By fusing geospatial data and AI techniques, this study aims to develop a reliable, and socially informed framework for disaster response and recovery in a data-scarce, low-resource setting. The intended outcomes include damage evaluation, urban reconstruction planning, and public sentiment analysis, ultimately contributing to improved disaster resilience in Myanmar.