Fabia Farlin Athena
Bio: Fabia Farlin Athena is a PhD candidate in Electrical and Computer Engineering (ECE) at Georgia Tech, advised by Prof. Eric M. Vogel. She studies emerging materials and devices that promote energy-efficient computing and collaborates with the IBM T.J. Watson Research Center. Previously, Fabia was a graduate researcher at Purdue University, where she collaborated with the Idaho National Lab. She completed her BS in Materials Science and Engineering at the Bangladesh University of Engineering and Technology, securing 2nd position in her graduating class. Her research has been recognized with the Georgia Tech ECE PhD Fellowship, Cadence Diversity in Technology Scholarship, EECS Rising Stars, Colonel Oscar P. Cleaver Award for the most outstanding PhD proposal in Georgia Tech ECE, MRS Graduate Student Award, and IBM PhD Fellowship.
Postdoctoral research project: Leveraging Low-Dimensional Materials for Low-Power AI Electronics. In an era where energy-intensive artificial intelligence (AI) is prevalent, the search for energy-efficient, sustainable AI technologies through hardware innovation has become crucial. In this regard, a variety of new materials, such as low-dimensional materials, oxides, ferroelectrics, and organics, hold immense promise for low-power AI hardware. Athena’s research at Stanford, under the guidance of Prof. H.-S. Philip Wong, Prof. Alberto Salleo, and Prof. Kwabena Boahen, will leverage the rich physics and unique properties of these new materials that can be fabricated at low temperatures, specifically focusing on their application in energy-efficient hardware for computing in 3D. Her research intends to study the development, synthesis, fabrication, and characterization of devices and systems based on these materials to approach the computational energy efficiency of the brain. The aim is to achieve low-power electronics for AI, aligning technological advancement with sustainability.
Research focus: Energy efficiency of electronics for AI application
Advisors: H.-S. Philip Wong - Electrical Engineering | Alberto Salleo - Materials Science and Engineering