Hydraulic stimulation experiments attempting to enhance induced seismicity for earthquake physics research
Journal of Geophysical Research: Solid Earth, 131(7), e2026JB033768
My work combines numerical simulation, machine learning and observational seismology to understand earthquake processes and turn seismic data into useful information, as part of the Computational Seismology Research Group.
I am building a real-time seismic monitoring system with AI-based automatic processing in collaboration with Pertamina Geothermal Energy and Pemerintah Kota Surabaya.
3D dynamic rupture simulations on complex fault geometries and fracture networks.
Seismicity from geothermal and subsurface operations, and how it differs from natural earthquakes.
Denoising, detection and generative models for seismic waveforms.
Fibre-optic seismic sensing, including the ITS fibre network, for dense-array earthquake monitoring and subsurface studies.
Source parameters, stress fields and fault behaviour in Indonesia and beyond.
Fault characterisation, stress mapping and earthquake scenarios for seismic hazard assessment in Indonesia.
Ongoing work across Indonesia, from AI-driven monitoring and fibre-optic sensing to earthquake source studies and subsurface imaging.
An AI agent that supports real-time earthquake monitoring in geothermal fields, automating detection, processing and reporting of seismic events.
Using the existing fibre-optic network at ITS as a dense seismic array with Distributed Acoustic Sensing (DAS).
Seismicity of Mount Bromo, an active volcano in East Java.
Earthquakes in the Flores region of East Nusa Tenggara: their sources and the faults that host them.
The Halmahera earthquake in North Maluku: its source and fault structure.
The Poso earthquake in Central Sulawesi: its source and fault structure.
The Tarakan earthquake in North Kalimantan: its source and fault structure.
Imaging the structure beneath the Dieng volcanic and geothermal complex in Central Java using receiver functions and joint inversion with surface waves.
A receiver-function study of the crust and upper mantle along the Lesser Sunda Islands, from Bali to Timor.
We determine stress ratios and principal stress orientations across Java using open earthquake source-mechanism data from national and international agencies and published studies. Poorly constrained source mechanisms are re-evaluated with stochastic Bayesian moment tensor inversion, and stress is inverted with the open-source STRESSINVERSE software. The result is a public online platform with an interactive map of stress ratios and principal stress orientations, backed by a database that approved users can contribute to.
Selected work from 2024 to 2026. Full lists on Google Scholar and SINTA.
Journal of Geophysical Research: Solid Earth, 131(7), e2026JB033768
Natural Hazards, 122(9), 389
Indonesian Journal on Geoscience, 13(1), 43–55
Seismica, 5(1)
Journal of Asian Earth Sciences, 295, 106845
EarthArXiv preprint
Journal of Geophysical Research: Machine Learning and Computation, 2(4), e2025JH000862
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025), Vol. 1, 18685–18717
Bulletin of the Seismological Society of America, 115(5), 2313–2335
Communications Earth & Environment, 6(1), 228
Journal of Engineering and Technological Sciences, 57(1), 129–144
Geoscience Letters, 11(1), 35
Science, 385(6707), eadj9587
Scientific Reports, 14(1), 12142
Journal of Geophysical Research: Solid Earth, 129(3), e2023JB027578