GeoAI & Earth observation
Machine learning and deep learning for optical, SAR and multisource geospatial data, from environmental change analysis to national-scale mapping.
Research Scientist · Dublin, Ireland · Open to remote
Applied AI and geospatial research for environmental decisions.
I combine Earth observation, geospatial science and trustworthy applied AI to develop research, systems and evidence for climate, agriculture and sustainability.
15+years across research, EO, GIS and applied AI
PhDEnvironmental Sciences, University of Tsukuba
3 regionsIreland · Japan · Vietnam
17selected peer-reviewed publications
Research focus
Scientific depth, built for practical use.
My work connects environmental questions, Earth-observation data and responsible AI with reproducible technical delivery.
Climate & environmental intelligence
Applied research for climate-resilient agriculture, blue carbon, ecosystems, hydrology and environmental decision support.
Trustworthy applied AI
Evidence-grounded retrieval and generative AI with source traceability, citation checks, numerical validation and reproducible evaluation.
Research software & delivery
Python workflows, APIs, automated tests, Docker packaging, technical documentation and multidisciplinary research delivery.
Selected work
Research translated into methods, maps and systems.
GeoAI · National-scale mapping
National Agricultural Land-Use Mapping for Vietnam
A deep-learning framework integrating multitemporal radar, optical and elevation data to map heterogeneous agricultural landscapes and test cross-year transferability.
View case studyEarth observation · Blue carbon
AI Solutions for Mangrove Blue Carbon in Vietnam
An AI-enabled research initiative connecting mangrove monitoring, satellite-data workflows, stakeholder requirements and a prototype web platform.
View case studyTrustworthy AI · Independent R&D
MRV Forest Carbon QA System
An evidence-grounded environmental question-answering prototype designed around traceable retrieval, deterministic checks and reproducible deployment.
View case studySelected research
Peer-reviewed evidence across GeoAI and environmental science.
My publications span national land-use mapping, blue carbon, agriculture, climate, hydrology and environmental change.
Explore publications- 2026
First Agriculture Land Use Map in Vietnam Using an Adaptive Weighted Combined Loss Function for UNET++
Remote Sensing, 18(3), 430
DOI - 2024
JAXA’s New High-Resolution Land Use Land Cover Map for Vietnam Using a Time-Feature Convolutional Neural Network
Scientific Reports, 14, 3926
DOI - 2023
Advances in Earth Observation and Machine Learning for Quantifying Blue Carbon
Earth-Science Reviews, 243, 104501
DOI - 2022
Ensemble Learning Updating Classifier for Accurate Land Cover Assessment in Tropical Cloudy Areas
Geocarto International, 37(14), 4053–4070
DOI
Current research
AI for climate-resilient rice farming in Vietnam.
I currently contribute geospatial and satellite-data workflows, AI models and multidisciplinary technical delivery to research supporting climate-resilient rice farming and digital decision support.
View research themesOpportunities