Emerald White, an undergraduate in the School of Electrical and Computer Engineering, is making her voice heard through active participation in many different on-campus organizations.
The group was the runner-up for the Best Paper Award at 2024 IEEE International Conference on Big Data for their research on reducing software regression.
The third-year Ph.D. candidate pioneering work on the “first switch effect” will help researchers understand the reliability of ferroelectric field effect transistors.
The ECE Ph.D. graduate, who is completing a research fellowship at Stanford University, was recognized for her research into more efficient AI computing.
The ECE Ph.D. candidate recently won the Best Paper Award at the IEEE BiCMOS and Compound Semiconductor Integrated Circuits and Technology Symposium for the novel testing approach.
The assistant director of research administration was lauded by his colleagues for his leadership and for fostering a culture of confidence and understanding.
The prestigious award, given by the Semiconductor Research Corporation and Semiconductor Industry Association, recognizes lifetime research contributions to the U.S. semiconductor industry by university faculty.
The ECE professor received the international recognition in his field, the Lord Rayleigh Award from the IEEE UFFC, recognizing his outstanding achievements, innovation, and leadership in advancing the field of ultrasonics.
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.
