Joshua Dimasaka

Profile

Engr. Joshua Dimasaka, MS, MA, MRes is a Filipino civil engineer and a GeoAI & disaster risk researcher at the UKRI EPSRC Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) and Cambridge University Centre for Risk in the Built Environment (CURBE). He investigates artificial intelligence methods to quantify exposure and risk of the built environment at large scales, enabling the beginnings of a global risk audit. His work measures the spatiotemporal changes in disaster risk profiles over time to assess whether countries are making progress in reducing disaster risk, ultimately to inform our collective efforts on the Sendai Framework for Disaster Risk Reduction 2015-2030.

Prior to my current research, I worked on various projects including seismic multi-hazard estimation using satellite imagery and Bayesian updating of ground failure estimates. My research has been published in journals like Nature Communications and Environmental Research Letters. I'm passionate about using technology to help communities better prepare for and respond to disasters.

Publications

Enhancing assessment of direct and indirect exposure of settlement-transportation systems to mass movements by intergraph representation learning

Enhancing assessment of direct and indirect exposure of settlement-transportation systems to mass movements by intergraph representation learning

Joshua Dimasaka, Sivasakthy Selvakumaran, Andrea Marinoni

Environmental Research Letters, Focus on Natural Hazards, Disasters, and Extreme Events, 2024

Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing and Machine Learning

Global Mapping of Exposure and Physical Vulnerability Dynamics in Least Developed Countries using Remote Sensing and Machine Learning

Joshua Dimasaka, Christian Geiß, Emily So

2nd Machine Learning for Remote Sensing, 12th International Conference on Learning Representations 2024

Seismic multi-hazard and impact estimation via causal inference from satellite imagery

Seismic multi-hazard and impact estimation via causal inference from satellite imagery

Susu Xu, Joshua Dimasaka, D. Wald, H. Noh

Nature Communications 2022