Ankita Sharma
Graduate Research Associate,
ENGR School of Electrical, Computing and Energy Engineering Research Chakrabarty Group
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Mail code: 5706Campus: Tempe
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Student Information
Graduate StudentComputer Science
Ira A Fulton Engineering
Long Bio
Ankita Sharma is a Ph.D. student in Computer Science at the School of Computing and Augmented Intelligence (SCAI), Arizona State University. Her research focuses on explainable AI for time series signals, particularly bio-signals, using large language models and vision language models. She interned at Lawrence Berkeley National Laboratory (LBNL) on data integration problems and has worked in neuroimaging and biomedical data analysis research in India. Ankita holds Bachelor's and Master's degrees in Computer Science from India. Her work aims to make AI systems more interpretable and trustworthy for critical biosignal analysis in healthcare applications.
Google Scholar URL
Courses
2021 Fall
| Course Number | Course Title |
|---|---|
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 330 | Operating Systems |
| CSE 412 | Database Management |