Our research advances geotechnical understanding and practice through the integration of novel data acquisition techniques, advanced data analytics, and computational methods. We develop innovative approaches to enhance the characterization, modeling, and performance assessment of ground and infrastructure systems.
Our work spans multiple domains and scales, from the micro scale (e.g., constitutive modeling of granular materials), to the meso scale (e.g., geotechnical engineering and construction system behavior), and up to the macro or regional scale (e.g., hazard characterization and risk assessment).
Grants, institutional funding, and external collaborations supporting our research.
Funder: Ministry of Education, Culture, Research and Technology (Kemdikbudristek) – DRTPM | Scheme: Penelitian Dasar (PD) | Period: 2025–2026 | Budget: Rp 250.000.000
This project develops an integrated machine-learning and geostatistical framework for mapping regional liquefaction susceptibility using publicly available CPT and geospatial datasets. The outcomes include validated susceptibility maps and an open-source processing pipeline for rapid regional assessments.
Principal Investigator: [PI Name] Co-Investigator: [Co-I Name]
Ongoing and recent thesis and research projects by our graduate and undergraduate students (S1 / S2 / S3).