The ECE Ph.D. student was recognized during the Student Paper Competition, and research from three other ECE-affiliated groups were presented at the conference.
The ECE professor won the award for ground-breaking developments to power regulation and energy harvesting technologies, and outstanding contributions to analog microcircuit education.
The novel approach developed by ECE Ph.D. graduate is aimed at being used for pleural effusion monitoring and has the potential for future expanded uses with many diseases.
Ph.D. candidate Zishen Wan was recognized for his novel AI perception system design, while Avanish Narumanch was recognized as one of the top undergraduate researchers.
The Ph.D. candidate will pursue research on advancing deep learning infrastructure to meet the computational needs to run ever-evolving large language models.
Eight Georgia Tech researchers were honored with the ACM Distinguished Paper Award for their contributions to cybersecurity at the ACM Conference on Computer and Communications Security (CCS).
The ECE professor is one of 16 new appointees who will assist the Department of Energy in meeting the many challenges associated with the rapidly unfolding energy transition in the United States.
The ECE Ph.D. student developed a cell design and fabrication process that has the potential to make solar energy two to three times cheaper than fossil fuels.
Hernandez-Mejia, who has worked at ECE’s National Electric Energy Testing, Research, & Applications Center (NEETRAC) since 2017, brings extensive experience to the member-driven electric utility research center.
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.
ECE Regents' Professor Emeritus Russell M. Mersereau will receive the 2017 IEEE Fourier Award for Signal Processing, which recognizes an outstanding contribution to the advancement of signal processing, other than in areas of speech and audio processing.
