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Machine Learning Key to Proposed App that Could Help Flood-prone Communities

Sep 28, 2023
School of Computational Science and Engineering (CSE) Assistant Professor Peng Chen is co-principal investigator of a $1.5 million National Science Foundation grant to develop the CRIS-HAZARD system.

Machine Learning Could be Key to Early Leakage Detection in Underground Carbon Storage Sites

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Mercury ID
672627
Dec 20, 2023

The feasibility study by Georgia Tech researchers explores using conditional normalizing flows (CNFs) to convert seismic data points into usable information and observable images. This potential ability could make monitoring underground storage sites more

Visualization Tool Helps Oceanographers Predict Sediment Sample Hotspots

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Mercury ID
674331
Jul 11, 2024

A new data visualization tool designed by a Georgia Tech Ph.D. student is helping a team of microbial ecologists, geobiologists, and oceanographers gain more insight into how deep-sea microorganisms interact within their environment.

Award-Winning Algorithm Used on Mars Rover Helps Scientists on Earth See Data in a New Way

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Mercury ID
675051
Sep 19, 2024

Ph.D student Austin P. Wright wins a best paper runner-up award at an international conference for an algorithm used on the Mars Perseverance Rover than can be used in applications in earth science and other fields.

Machine Learning Encoder Improves Weather Forecasting and Tsunami Prediction

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Mercury ID
676555
Mar 14, 2025

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

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