معرفی
Ivan Sanchez Esqueda is an Associate Professor in the School of Electrical, Computer and Energy Engineering at Arizona State University. His research focuses on nanoelectronics, 2D materials, and neuromorphic computing, with significant contributions to radiation effects in semiconductor devices.
Education:
- Ph.D. Electrical Engineering, Arizona State University (2011)
- M.Sc. Electrical Engineering, Arizona State University (2006)
- B.Sc. Electrical Engineering, University of Arizona (2004)
Dr. Esqueda's research interests span nanoelectronics, two-dimensional (2-D) and one-dimensional (1-D) materials, device nanofabrication, characterization, analysis, and modeling. He explores new device functionalities for novel computing, sensing, and memory applications, particularly hardware implementation of neuromorphic computing and machine learning. His work includes fundamental understanding of nanoscale electronics, confinement and scattering effects in low-dimensional electronic systems, computational nanoelectronics, and modeling of semiconductor devices. A significant portion of his research focuses on defect-related mechanisms and their impact on performance, variability, and reliability of devices and circuits, including radiation and aging effects in commercial CMOS and emerging nanotechnologies.
His publication record shows a clear trend toward neuromorphic computing applications using 2D materials, particularly hexagonal boron nitride memristors, and continued investigation of radiation effects in advanced semiconductor technologies. Recent work demonstrates increasing focus on practical implementations of neural networks and machine learning hardware using novel materials.
As an educator, Dr. Esqueda teaches courses including EEE 436 (Fundamentals of Solid-State Devices) and EEE 531 (Semiconductor Device Theory I), and mentors numerous graduate students through thesis and dissertation research.
His research team at ASU focuses on the fabrication, characterization, and modeling of advanced electronic technologies, developing novel devices based on low-dimensional materials for computing, sensing, and memory applications. They particularly investigate device behavior in extreme environments including radiation and cryogenic conditions.
