EAS 9000 is the doctoral thesis credit course for students conducting original dissertation research under the supervision of Dr. Ali Sarhadi in the Climate Risk and Extreme Dynamics (CRED) Lab. The course is non-lecture-based and centers on sustained, independent research in Climate AI, physics-based machine learning, and tropical cyclone science, guided by regular advising and progress reporting.

This course provides academic credit for independent thesis research conducted under the supervision of a Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or examinations. The scope and direction of research are determined by the student in consultation with the thesis advisor, consistent with the requirements of the degree program.

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This course provides academic credit for independent thesis research conducted under the supervision of a Georgia Tech faculty advisor. The course does not involve regular class meetings, assignments, or examinations. The scope and direction of research are determined by the student in consultation with the thesis advisor, consistent with the requirements of the degree program.