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Graduate researcher sounds out fracture pathways with machine learning

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Recent News

Petroleum engineering graduate student Aditya Chakravarty uses blind machine-learning techniques to interpret passive sounds from fractured rock so he can catalog and map the subsurface channels needed for geothermal energy.

Five from the Texas A&M University College of Engineering were among 24 outstanding members of the university’s faculty and staff to be honored with 2021 Distinguished Achievement Awards.

Dr. Siddharth Misra and Dr. Hadi Nasrabadi received monetary support for interdisciplinary projects from the Texas A&M University Triads for Transformation program. The funding allows them to acquire equipment, gather the data needed to prove their concepts and attract investors for more intensive research.


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#1 among undergraduate programs
390 enrolled undergraduate students
178 enrolled graduate students