👋 Hi, I'm Josh! I'm a PhD Researcher in AI 🧠 & EO 🛰️ for Global Disaster Resilience Dynamics 🌏 in the UKRI EPSRC Centre for Doctoral Training in the Application of Artificial Intelligence to the study of Environmental Risks at the University of Cambridge, where I develop artificial intelligence methods to quantify exposure and risk of the built environment at large scales, enabling the beginnings of a global risk audit. My 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. For any inquiries, please visit my website joshuadimasaka.com or contact me using [email protected]
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University of Cambridge
- Cambridge, United Kingdom
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07:14
(UTC +01:00) - joshuadimasaka.com
- https://orcid.org/0000-0001-9618-9431
- in/dimasaka
Highlights
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riskaudit/GraphCSVAE
riskaudit/GraphCSVAE PublicGraphCSVAE: Graph Categorical Structured Variational Autoencoder for Spatiotemporal Auditing of Physical Vulnerability Towards Sustainable Post-Disaster Risk Reduction
MATLAB
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riskaudit/DeepC4
riskaudit/DeepC4 PublicDeep Conditional Census-Constrained Clustering (DeepC4) for Large-scale Multi-task Disaggregation of Urban Morphology
MATLAB
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SusuXu/VBCI
SusuXu/VBCI PublicVariational Causal Bayesian Inference for Seismic Multi-hazard Estimation from Satellite Images
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IMPACTSquad/InterGraphNorwayMM
IMPACTSquad/InterGraphNorwayMM PublicNear-real-time Country-wide Estimation of Susceptibility and Settlement Exposure from Norwegian Mass Movements via Inter-graph Representation Learning
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riskaudit/OpenSendaiBench
riskaudit/OpenSendaiBench PublicOpenSendaiBench: A benchmark dataset for building exposure and vulnerability dynamics
Python
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earthquake_risk_gmma_philippines_2022
earthquake_risk_gmma_philippines_2022 PublicPUBLPOL 310: Towards an Equitable Development of the Regional Earthquake Resilience of the Greater Metro Manila Area, Philippines
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