Student Award Highlights

GT IEEE Power and Energy Society Takes Top Spot in Student Branch Chapter Program

The Georgia Tech student branch chapter of the IEEE Power and Energy Society was awarded the first place prize for IEEE Region 1-7 (U.S. and Canada) in the highly competitive 2021 PES High Performing Student Branch Chapter Program.

Chartered by both IEEE and IEEE PES, the IEEE PES @ Georgia Tech student branch encourages the development and dissemination of knowledge in the power and energy fields throughout the Tech community. Currently, there are more 250 members of Tech’s IEEE PES chapter, including undergraduate students, graduate students and alumni. Nearly 100 members have joined the Tech IEEE PES student branch chapter since the Fall 2020 semester, many of whom are also members and volunteers of the IEEE PES international society.

Fabia Athena Named a 2022 IBM Ph.D. Fellowship Award Recipient

Fabia F. Athena, a third-year Ph.D. student, has received a 2022 IBM Ph.D. Fellowship Award recipient. Athena’s research involves the development of a fundamental understanding of the mechanism of a specific class of analog memristors for use in biologically realistic neuromorphic architectures. Her work links the necessary underlying materials physics (control of the thermal and chemical properties of the adaptive oxide) to the performance of the device, circuit, and application.

Since 1951, the prestigious IBM Ph.D. Fellowship Program has collaborated with faculty, students and universities by recognizing and supporting exceptional Ph.D. students that address focused areas of interest in technology.

Smith Receives National Defense Science and Engineering Graduate Fellowship

Liam Smith, a second year Ph.D. student, was chosen as a recipient of the 2022 National Defense Science and Engineering Graduate (NDSEG) Fellowship. The fellowship is the highest honor awarded to graduate students by the U.S. Department of Defense agencies. It will support Smith’s Ph.D. studies for the next three years.

Smith’s research centers on modeling space weather through machine learning (ML) — the science of getting computers to act without being explicitly programmed. Specifically, his work focuses on the near-Earth space environment’s response to space weather, including solar flares and coronal mass ejections — events that have the potential to disrupt satellite communications, trigger outages for ground communication systems, degrade and destroy satellites, and, in extreme cases, knock out power across large regions.

You can find more student awards highlights by exploring the ECE recent news section.