Scholar
Urja Pawar
Google Scholar ID: eUfrV7sAAAAJ
PhD Student (2019-2024), MTU
Citations & Impact
Citations
731
H-index
5
i10-index
4
Publications
12
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: 'Optimal Neighborhood Contexts in Explainable AI: An Explanandum-Based Evaluation' in IEEE Open Journal of the Computer Society (2024); 'On the Impact of Neighbourhood Sampling to Satisfy Sufficiency and Necessity Criteria in Explainable AI' at Causal Learning and Reasoning, UCLA (2024); 'Explaining Medical Workflows via Feature Importance and Performance Metrics' in IEEE Computer Based Medical Systems (2021).
Research Experience
- Software Engineer: Optum Global Solutions - 1 year 3 months (2018-2019).
Education
- PhD: Munster Technological University, Ireland (2019-2024), specializing in Explainable AI; B.Tech: National Institute of Technology, Raipur, India (2014-2018).
Background
- Research Interests: Explainable AI, Mechanistic Interpretability of Models. Bio: Recently finished her PhD at Munster Technological University, Ireland. She considers herself an average human being who enjoys dancing and cooking, becoming increasingly skilled at making cocktails.
Miscellany
- Personal interests include dancing, cooking, and making cocktails.
Co-authors