The ECE professor, who specializes in semiconductor memory devices and circuits, was selected for his exceptional record of scholarship and service to the Institute.
The undergraduate research group presented experiments showing how encrypted sounds can help swarms of unmanned autonomous vehicles securely communicate underwater.
The ECE professor received the Glass Brain Award for his work in neuroimaging to help further understand the organization and function of the human brain.
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.
The research will advance the development of AI systems to meet increasing computational demands, while achieving more human-like cognitive capabilities with improved efficiency.
Engineers and computer scientists show how bad actors can exploit browser-based control systems in industrial facilities with easy-to-deploy, difficult-to-detect malware.
The research proposed by a team featuring Professor Biing-Hwang Juang introduces DeepSC, a deep learning-based semantic communication system designed for text transmission.
Imagine you’re a college student cramming for a test in your dorm room. What if there was a way for the school supplies and food to be delivered right to your dorm – not by car or foot, but by drone?
Harnessing the power of “phase-change” materials, Georgia Tech researchers have demonstrated how reconfigurable metasurfaces — artificial materials with extraordinary optical properties — are crucial to the future of nanotechnology.