Biography
Proficient in Remote Sensing and Geographic Information Systems with Machine Learning approach: Analysis of disaster risk reduction and management associated with climate change using remote sensing and geographic information system technologies and implementation of disaster-oriented projects; landslide, flooding, drought, and land subsidence, optionally with machine learning approaches; forest inventory for canopy height and above ground biomass, and planning, design, construction, and maintenance of civil engineering construction projects. I have developed extensive experience in remote sensing acquired through my academic and professional endeavors spanning over seven years. I completed my Master of Science in Civil Engineering from the University of Washington in the United States. During my master’s, I took several courses in remote sensing and had first-hand experience in applying remote sensing for disaster management. As a graduate student, I also had an opportunity to intern with JICA to use the Interferometric Synthetic Aperture Radar technique to estimate land subsidence volume in Jakarta, Indonesia. After graduation, I worked as a satellite data analyst for space industries. I had opportunities to work for national and international government projects and research projects that used satellite remote sensing solutions for disaster risk reduction and management, forest inventory monitoring, and economic assessments.
