06/01/2026
Rice undergraduate Rishi Madhuvairy is paving the way for improved diagnosis of semiconductor defects, a problem that costs the industry millions of dollars every year.
Rishi, along with his collaborator Purdue University sophomore Rahul Prabhu, earned first place in the poster competition at Purdue’s AI Research Showcase this spring after developing an AI-driven model designed to detect defects in semiconductor wafers. Their high-accuracy, low-latency model could be implemented onsite within a lab and includes spatial descriptors that identify where and how defects appear on the wafer.
Interdisciplinary projects like this underscore the opportunities for real-world impact in materials science.
“Materials science sits at the intersection of nearly every engineering and scientific field,” said Rishi. “Whether you’re working in electrical engineering or AI, you need to have an understanding of materials science to manipulate properties of devices at the nanoscale.”
https://engineering.rice.edu/news/student-led-breakthrough-advances-semiconductor-chip-quality-control