10/14/2026
What does it take to stand out among tens of thousands of AI researchers worldwide? 🌍 Ask Krishna Khadka, a doctoral student in Computer Science and Engineering at UTA!
His paper co-authored with Professor Yu Lei earned a rare oral presentation at NeurIPS, placing in the top fraction of a percent of global submissions! 🏆 The research was developed alongside collaborators Raghu N. Kacker and D. Richard Kuhn from the National Institute of Standards and Technology.
The paper introduces DD-CAM, a tool that acts like a precision magnifying glass for computer vision systems. By applying software debugging logic, it strips away visual noise so developers can see the exact image details an AI uses to make decisions. This breakthrough brings real-world impact to self-driving safety and medical imaging precision! 🚗🏥
A true homegrown Maverick success story, Khadka earned his bachelor’s degree at UTA, entered the direct Ph.D. program, and co-founded an award-winning startup through MavPitch. 🚀
Read the full paper to see how UTA is driving transparent AI: https://arxiv.org/abs/2602.19274