Prashnna Gyawali
About
I am an Assistant Professor at West Virginia University in the Lane Department of Computer Science and Electrical Engineering. Before my time at WVU, I completed my postdoctoral training at the Stanford University and earned my Ph.D. in Computer Science from RIT. My research focuses on building reliable and trustworthy AI systems with improved generalization and robustness, particularly in critical domains such as healthcare. I emphasize generalization (through self-supervised learning and foundation models), reliability (via out-of-distribution detection), and trustworthiness (through interpretability) as key pillars of my work.
Research Performance Summary
First Recorded Paper
A Final Year Project Report on Vehicle Over Speed Detection and Recognition
Year: 2014
Citations: 2
Venue: Doctoral dissertation, Tribhuvan University, Kirtipur, Nepal
Latest Recorded Paper
Med-MMFL: A Multimodal Federated Learning Benchmark in Healthcare
Year: 2026
Citations: 0
Venue: arXiv preprint arXiv:2602.04416
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.