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Ph.D. Proposal Oral Exam - Mohammadsajad Abavisani

Title:  Rate-agnostic Causal Learning from Sub-sampled Time Series Data for Neuroscientific Applications

Committee:

Dr. Calhoun, Advisor

Dr. Anderson, Chair

Dr. Choi

Dr. Plis

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Summary

The objective of the proposed research is to tackles causal structure inference challenges from time series data, particularly when measurements occur slower than underlying processes (undersampling).

Details

Wednesday
Apr 30 2025
11:00am - 01:00pm

Location: Room 2204, Price Gilbert Library

In campus calendar: No

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  • Workflow status: Published
  • Created by: Daniela Staiculescu
  • Created: 04/30/2025
  • Modified By: Daniela Staiculescu
  • Modified: 04/30/2025

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