About
A seasoned generalist striving to create a better world by developing solutions to coexist with natural disasters. Currently working on developing flexible adaptation strategies to address future changes in hazards and society. His focus is on advancing and integrating weather-related disaster and water resource modelling to project future extremes for climate disaster risk information. Experienced in flood risk assessment and analysis, development of Tsunami evacuation mechanisms for individuals with disabilities, and disaster risk governance for volcanic ash hazards from large-scale explosive eruptions. His areas of expertise encompass the simulation of volcanic ash transport and dispersal models, development of decision support systems, analysis of dynamic decision-making under uncertainty, disaster impact assessment, disaster risk analysis and evaluation, bias correction of predictive and machine learning models, and development of advanced anomaly detection and extreme value analysis.
Has professional experiences in administration and optimization of databases and data warehouses (Oracle, MySQL, PostgreSQL, MSSQL, MongoDB, Elasticsearch, REDIS, Redshift, BigQuery), operations of parallel and distributed computing (Sparks, Hadoop), systems / site reliability engineering for variety of server-side microservices, architecture and cloud infrastructures (AWS, GCP), and software engineering with various programming languages (C, C++, C#, Java, Javascript, PHP, Ruby, Fortran, Golang), but now mostly do data science and machine learning (Python, R, and Julia). Love to mingle with Geographic Information Sciences and Data Visualization. Outside of research, he preferred to cooks (un)healthy meals, hike mountains, play football, do cycling, and take billons of photos.
Latest updates: 14 March 2024 Download latest CV
Latest Publications
Uncertainty Analysis of the Prediction of Massive Ash Fallout From a Large Explosive Eruption at Sakurajima Volcano
Rahadianto, H., Tatano, H., & Iguchi, M. (2024). Uncertainty analysis of the prediction of massive ash fallout from a large explosive eruption at Sakurajima Volcano. Earth and Space Science,11, e2023EA003174.
Detecting Anomalies in Volcanic Ashfall Forecast during Large Eruptions: Sakurajima Taisho Eruption Case
Rahadianto, H., Roy, S., Takemi, T., Iguchi, M., Tatano, H. (2023). Detecting Anomalies in Volcanic Ashfall Forecast During Large Volcanic Eruptions: Sakurajima Taisho Eruption Case. In: Malheiro, A., Fernandes, F., Chaminé, H.I. (eds) Advances in Natural Hazards and Volcanic Risks: Shaping a Sustainable Future. NATHAZ 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-25042-2_15
(older publications are listed in CV)
Latest Talks
Anticipating massive ash fallout from a large eruption of Sakurajima volcano: Collaborative efforts of a research institute and citizens’ participations
Presentation at AHA Centre Executive Leadership in Emergency and Disaster Management for ASEAN Programme (ACE LEDMP) 2023, Asian Disaster Reduction Center, Kobe, Japan
Uncertainties in Assessing the Risk of Massive Ashfall Hazards from a Large Eruption
Presentation at 11th China-Japan Joint Workshop on Sustainable Management of Cities and Regions under Disaster and Environmental Risks, Beijing Institute of Technology, Beijing, China
(older talks are listed in CV)