Scholar
Prashnna K Gyawali
Google Scholar ID: mZ_KzxcAAAAJ
West Virginia University
Citations & Impact
Citations
949
H-index
16
i10-index
26
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in Nature Communication Materials, IEEE IJCB, MICCAI, IEEE Access, Medical Image Understanding and Analysis (MIUA), Scientific Reports, and other journals and conferences; Secured 2nd place in the Multi-Camera Robust Diagnosis of Fundus Diseases Challenge at MICCAI 2025; Co-organized workshops at several international conferences.
Research Experience
- Assistant Professor at West Virginia University since June 2023; Postdoctoral Scholar at Stanford University from May 2021 to May 2023; Founded Machine Intelligence Lab (MIL@WVU) in August 2023.
Education
- Ph.D. in Computer Science from Rochester Institute of Technology, advisor: Linwei Wang; Postdoctoral Scholar at Stanford University, mentors: Zihuai He and James Zou.
Background
- Research Interests: Building reliable and trustworthy AI systems, particularly in critical domains such as healthcare. Emphasizes generalization (through self-supervised learning and foundation models), reliability (via out-of-distribution detection), and trustworthiness (through interpretability). Background: Assistant Professor at West Virginia University in the Lane Department of Computer Science and Electrical Engineering.
Miscellany
- Looking for motivated graduate students broadly interested in robust and explainable machine learning and its applications to health care; Welcomes current or admitted PhD students at WVU and those who would like to pursue a PhD under his guidance; Open to research collaborations with students and faculty both within WVU and elsewhere.
