The team, led by ECE professor Shimeng Yu, analyzed different combinations of settings for emerging non-volatile memory (eNVM) technologies in hopes of improving AI hardware efficiency and power.
Al Jamal’s research on origami-inspired phased array antennas represents a quantum leap in antenna reconfigurability at mm-wave frequencies and a paradigm shift in massive MIMO applications and beyond-5G communication.
The ECE Ph.D. candidate was one of 10 people to receive the grant. The design aims to reduce energy consumption when performing power-intensive processes, like AI computing.
Professor Mark Davenport will oversee ECE graduate programs and admissions to further develop the School’s graduate offerings and attract leading Ph.D. candidates.