Suin Yi

Suin Yi is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University, affiliated with the College of Engineering. Her research focuses on brain-inspired computing systems using memristor technology and nanoscale device physics. She holds a Ph.D. in Mechanical Engineering from Texas A&M University (2017), an M.S. in Energy Science from KAIST (2012), and a B.S. in Electronic Engineering from Sungkyunkwan University (2010).

Research interests include neuromorphic computing architectures, memristor-based ASICs for optimization problems, and thermoelectric device modeling. Key achievements include NSF-funded projects on hyperscale analog edge computing and ONR grants for NAND flash-based signal processing.

Her work has been recognized through prestigious awards such as the 2016 Graduate Teaching Fellowship and the 2015 Texas A&M Energy Institute Poster Award. She leads the RSW Memristor Lab, collaborating with institutions like Sandia National Laboratories and the University of Oklahoma. Recent funding includes a $500k NSF award (2025-2028) and a $1M Samsung Semiconductor Fellowship program.

Current research activities involve training deep neural networks with memristor crossbars, energy-efficient parallel adders, and 3D NAND flash integration for edge computing. Her lab actively engages in interdisciplinary projects combining materials science, device engineering, and machine learning hardware.