👋 Hi, I'm Josh! I am a research student 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 aim to explore how AI can provide an improved understanding of global resilience in response to intensifying effects of climate change and other natural hazards. For any inquiries, please visit my website joshuadimasaka.com or contact me using jtd33@cam.ac.uk
-
University of Cambridge
- Cambridge, United Kingdom
-
19:38
(UTC) - joshuadimasaka.com
- in/dimasaka
Highlights
- Pro
Pinned Loading
-
riskaudit/DeepC4
riskaudit/DeepC4 PublicDeep Conditional Census-Constrained Clustering (DeepC4) for Large-scale Multi-task Disaggregation of Urban Morphology
QML
-
SusuXu/VBCI
SusuXu/VBCI PublicVariational Causal Bayesian Inference for Seismic Multi-hazard Estimation from Satellite Images
-
IMPACTSquad/InterGraphNorwayMM
IMPACTSquad/InterGraphNorwayMM PublicNear-real-time Country-wide Estimation of Susceptibility and Settlement Exposure from Norwegian Mass Movements via Inter-graph Representation Learning
-
riskaudit/OpenSendaiBench
riskaudit/OpenSendaiBench PublicOpenSendaiBench: A benchmark dataset for building exposure and vulnerability dynamics
Python
-
riskaudit/riskaudit
riskaudit/riskaudit PublicA working repository for the PhD research project on auditing the global disaster risk to assess whether countries are making progress on the Sendai Framework from the perspective of probabilistic …
Python
-
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
If the problem persists, check the GitHub status page or contact support.