Mutiara Syifa

This researcher's work spans two distinct areas: applying remote sensing and machine learning/AI techniques to map and assess natural hazards such as floods, landslides, earthquakes, coastal changes, and wildfires; and more recently, studies in science education, including STEM learning and accessibility for students with visual impairments. Much of the hazard-mapping work uses satellite imagery and AI models to predict or detect disaster-related changes in locations including Indonesia, South Korea, Brazil, and Mozambique.

Publication output was highest around 2019 with a burst of activity, then declined and has remained relatively low and variable over the past five years, averaging about 1.6 papers per year.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026