Peer-reviewed work on conformal prediction for vision-language models, cultural AI benchmarks for Southeast Asia, and geospatial deep learning for flood and mining detection. Published in IEEE, ACL, and Remote Sensing of Environment.
Q1 · IF: 11.4
Multi-modal deep learning approaches to semantic segmentation of mining footprints with multispectral satellite imagery
Semantic segmentation of global mining footprints using multispectral satellite imagery across 37 locations worldwide.
Remote Sensing of Environment, Volume 318, Article 114584, 2025 Read PaperMAJOR CONTRIBUTOR · ACL 2025
Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia
A multicultural vision-language benchmark for Southeast Asia, covering 1.28M culturally relevant images across 11 SEA languages.
ACL 2025 Read PaperFIRST AUTHOR · IEEE Q1
Progressive Cross-Attention Network for Flood Segmentation Using Multispectral Satellite Imagery
ProCANet achieving state-of-the-art IoU of 0.815 on the Sen1Floods11 benchmark.
IEEE Geoscience and Remote Sensing Letters, Vol. 22, pp. 1–5, 2024 Read PaperQ2 · IF: 2.3
Enhancing urban resilience through integrated flood policy and planning
Mixed-methods evaluation of retention ponds for urban flood mitigation.
AQUA, Water Infrastructure, Ecosystems and Society, Vol. 74(2), pp. 267–282, 2025 Read PaperACL 2026
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
A community-driven human-annotated benchmark covering 109 languages.
ACL 2026 (Accepted) Read PaperUNDER REVIEW
Anthropogenic Regional Adaptation in Multimodal Vision-Language Model
GG-EZ achieves 5-15% gains in cultural relevance for Southeast Asia while retaining over 98% of global benchmark performance.
Under Review Read PaperFIRST AUTHOR
The Effect of Plastic Bag Ban Policy Towards Waste Complaints in Jakarta
Analysis through JAKI and Qlue platforms.
International Conference on ICT for Smart Society (ICISS 2021), pp. 1–5 Read Paper