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David Prambudi Sahara

Dr.rer.nat. David Prambudi Sahara, S.T, M.T.

ASSOCIATE PROFESSOR | GLOBAL GEOPHYSICS RESEARCH GROUP
NIP/Nopeg: 198703072015041003
Scopus ID: 56223733800
Google Scholar: uub7o0AAAAAJ
SINTA: 6032934
Researchgate: https://www.researchgate.net/profile/David-Sahara

  • Sinta
  • SINTA Score Overall  :  2.587
  • SINTA Score 3 Years :  747
  • S1 Institut Teknologi Bandung, Bandung – Indonesia
    2009
  • S2 Institut Teknologi Bandung, Bandung – Indonesia
    2011
  • S3 Karlsruhe Institute of Technology, Karlsruhe – Jerman
    2016

2025

Application of Machine Learning in Indonesia’s Seismic Processing System.

Strengthening Disaster Technology Industry: A Hilirization Model for AI-Based Early Warning System (EWS) Integrating Seismic and GNSS Data.

Determination of 3-D Seismic Wave Velocity Structure (Vp & Vs) in the Sunda Arc Using a Cross-Correlated Signal Relocated Earthquake Hypocenter Catalog.

Equity2025 – Development of a High-Resolution Earthquake Catalog through Integration of Artificial Intelligence and Robust Earthquake Processing Technology.

GeoMecca: Industry-Ready Machine Learning Innovation for Geothermal and Underground Mine Microseismic Processing.

Equity2025 – “Seismometer Goes to School” Program: Earthquake Hazard Education and Mitigation for High School Students in West Java.

2024

Microseismic monitoring at the Patuha Field.

Development of an Earthquake Early Warning (EEW) System in Indonesia Utilizing Deep Learning Technology.

Development of a Machine Learning Model for Monitoring the Sustainability Level of Global Mining Activities in Tropical Forest Regions.

Integrated Geophysical Survey.

System Processing Development of InaTEWS Merah Putih (Red and White Indonesian Tsunami Early Warning System).

IMPLEMENTATION OF THE POSTGRADUATE EDUCATION PROGRAM (S3 / PhD) IN GEOPHYSICAL ENGINEERING FOR 2024.

AI-Enhanced Seismic Knowledge Interpretability: Integrating Neural Architecture with Geophysical Insights for Real-Time Early Warning and Post-Event Analysis.

Remanent Magnetic Measurement Testing Activity.

DAPT-Equity2024-WCU@Innovation: Machine Learning Technology for Software Development in Microseismic Data Processing for Geothermal Reservoir and Underground Mine Monitoring.

Community Engagement and Research Book for the Global Geophysics Expertise Group 2024.

2023

IMPLEMENTATION OF THE POSTGRADUATE EDUCATION PROGRAM (S3 / PhD) IN GEOPHYSICAL ENGINEERING FOR 2023.

Implementation of Artificial Intelligence for Improving Earthquake and Tsunami Early Warning Systems with Multi Sensors.

Equipment for Earthquake and Volcanic Activity Surveys Using Seismometers for the Volcanology and Geothermal Laboratory, Geophysical Engineering Program.

Development of Learning Innovation and International Classes Through Digital Learning Materials and Visiting Professors.

Study of Fault Strength on Sulawesi Faults Based on Friction Estimation Using Focal Mechanism Data.

Compilation of an In-Situ Stress Map in Eastern Indonesia Using a New Focal Mechanism Catalog from BMKG Data Inversion.

IMPLEMENTATION CONTRACT OF SYSTEM PROCESSING DEVELOPMENT OF INATEWS “MERAH PUTIH”.

2022

Regional in-situ stress mapping in Sulawesi using new focal mechanism data for active inland fault identification.

Quantification of Damage Level in Strong Rock Mass in Block Caving Mining Method Using Microseismic Monitoring and Numerical Modeling.

Development of a Modular System for Rapid and Accurate Source Parameter Determination and Regionalization of Indonesia’s Velocity Model Using Python-Based Machine Learning.

Cave propagation monitoring at the DMLZ underground mine based on seismicity distribution analysis and Time-Lapse Tomography for sustainable underground mining operations.

Book of the Global Geophysics Expertise Group 2022.

Dimensional Correlation and Seismicity Characterization based on Earthquake Data, Active Faults & Horizontal Strain and its relation to Hazard Function in Sumatra Island.

Sensitivity analysis of moment magnitude calculation.

Acquisition of an Earthquake Monitoring System Using the Latest Distributed Acoustic Sensing (DAS) Technology in Lembang and Surroundings.

Improving The Earthquake Resilience of Indonesia’s New Capital City.

International Conference on Geosciences and Earth Resources Engineering (4th ICGERE).

2021

Global Geophysics Book Year 2021.

Bayesian Centroid Moment Tensor Inversion of the 2019 Ambon 6.5 Mw Aftershock Sequence to See Potential Reactivation of Inland Faults on Seram Island and Surroundings.

Seismicity and Ambient Noise Tomography Study of the Lembang Fault Using a Temporary Local ITB Seismic Network and Regional BMKG Stations.

Microzonation Study for Earthquake Risk Reduction in Semarang City, Central Java.

Development of Teaching Materials, Socialization and Earthquake Disaster Mitigation Education with the Sekolah Alam Bandung Partner.

Seminar.

Auto-Classification of Volcano-Tectonic (Vt) Earthquakes Using Machine Learning: Case Study of the 2017 Mount Agung Crisis.

The 3rd International Conference on Geoscience and Earth Resources Engineering.

PPKI – Implementation of Artificial Intelligence for Improving Earthquake and Tsunami Early Warning Systems with Multi Sensors.

2020

Implementation of Artificial Intelligence for Improving Earthquake and Tsunami Early Warning Systems with Multi Sensors.

Seismic Crisis Analysis on Volcanoes as an Eruption Precursor: Case Study of Mount Agung.

3-D High-Resolution Vp, and Vp/Vs Tomographic Structure beneath Mount Agung, Bali using the ITB Seismograph Network.

2018

Determination of In-Situ Stress from Focal Mechanism Solutions Along the Sumatra Fault.

Geomechanics Study in the Case of Hydraulic Stimulation Injection in Geothermal Reservoirs.