Hello!
Hello!
This is Minh Nguyen.
PhD in Earth System Science.
My expertise combines computer science and applied data science for Earth hazard assessment.
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Solution for Hazards
Solution for Hazards
Global climate change and environmental issues pose the greatest risks to nature and human development. Ground subsidence, landslides, and flooding are among the critical challenges we face worldwide. During my PhD, I utilized computing to analyze Earth observation data, seeking innovative solutions to these pressing issues, with a focus on advancing sustainable development.
High Perfomence Computing
High Perfomence Computing
Computers automate tasks through optimized workflows, reducing the need for human intervention. High-performance computing is crucial for real-time data processing, enabling swift responses to address challenges like climate change, landslides, and flooding.
Applied Data Science
Applied Data Science
With Big Data stored everywhere, I focus on extracting valuable insights from Earth observation to understand the why, how, and when of hazard occurrences.
Research Interest
Research Interest
Water Security
Water Security
Water security is increasingly threatened by the depletion of groundwater and the growing frequency of surface droughts, exacerbated by climate change. Addressing these challenges requires innovative solutions that integrate satellite data, predictive modeling, and sustainable water management practices to ensure a secure and resilient water future.
Ground Subsidence
Ground Subsidence
Ground subsidence, sea-level rise, and flooding are critical global risks that result in significant property loss and environmental damage. Satellite observation plays a crucial role in analyzing historical data to understand the causes, modeling the impacts, and predicting future subsidence. This information is essential for developing effective mitigation strategies to reduce risks and protect vulnerable areas.
Landslides
Landslides
Landslides are a significant natural hazard that can cause widespread destruction, loss of life, and damage to infrastructure. By monitoring slope surface movements over time, satellite observations can detect subtle shifts, which often precede landslides. Through advanced modeling and analysis, satellite data helps predict future landslide events, allowing for more effective mitigation strategies, early warning systems, and better land-use planning to protect communities and infrastructure.
Climate Change
Climate Change
Climate change is driving significant environmental challenges, including increased flooding and rising sea levels. Satellite data plays a crucial role in monitoring these changes, providing critical information for assessing risks, predicting future impacts, and developing effective strategies for adaptation and mitigation.
I also research on these topics:
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