Two student teams in Prof. Jaydeep Kulkarni’s 382M.8 VLSI-II course won the inaugural Intel Outstanding ASIC Design Contest for their excellent performance in the final class project.  A team of experts headed by Dr. Prashant Joshi from Intel Austin Design Center served as judges for this design contest.

They plan to develop novel BEOL transistor technologies to realize low power, high density, 3-D stacked SRAM technologies which can potentially address energy efficient data storage needs of next generation Integrated Circuits.

“It was really a quick turnaround because my friends and I were galvanized into action by the fact that we had found some way to help. We’d been in quarantine for quite some time and were itching to help,” Zhou said.

“I want to create the appropriate atmosphere to help graduates become the best version of themselves,” Saab stated.

Texas ECE undergraduate Allen Zhou worked with UT biomedical engineering student Aditi Merchant and his brother, Anthony, a computer science student at the Texas Academy of Math and Science in Denton to build a website that matches older people with younger ones to give both older and younger generations a chance to connect with someone new and battle social isolation.

The NSF Graduate Research Fellowship Program (GRFP) recognizes and supports outstanding graduate students in NSF-supported science, technology, engineering, and mathematics disciplines.

Read updates about the University's COVID-19 response and find resources on how to operate during this time.

Prof. Jean Anne Incorvia led the study with first author and second-year graduate student Can Cui. Incorvia and Cui discovered that spacing magnetic nanowires, acting as artificial neurons, in certain ways naturally increases the ability for the artificial neurons to compete against each other, with the most activated ones winning out.

The international award is given to one recipient annually who has shown "outstanding scientific or technical achievements which has been significantly beyond the average performance of a person at that career level."

After graduating from Texas ECE in 2010 with a master’s degree in electrical and computer engineering, Sowmiya Narayanan went on to co-found Lily AI — an AI-based software designed to enhance users’ online shopping experiences — and she now serves as its chief technology officer.