Title: Introduction to P-bits and their possible applications in Stochastic Computing

Bio:

Dr. Gengchiau Liang holds a Ph.D. in electrical and computer engineering from Purdue University, complemented by B.S. and M.S. degrees in physics from Taiwan's National Tsinghua University. Starting as an assistant professor in 2006 at the Department of Electrical and Computer Engineering at the National University of Singapore, he advanced to associate professor in 2012. Since 2023, he has held a full professorship with an IAIS & TSMC fellowship at the Institute of Pioneer Semiconductor Innovation, a part of the Industry-Academia Innovation School at National Yang-Ming Chiao Tung University. He was recently awarded the IEEE Nanotechnology Council Distinguished Lecturer 2024 (IEEE NTC DL 2024).

Dr. Liang’s research focuses on theoretical exploration and modeling of advanced materials, particularly their application in nanoscale electronic and spintronic devices. Specialized areas of interest include novel channel materials, 2D materials, topological insulators, and materials exhibiting strong spin-orbit torque (SOT). Dr. Liang pioneers innovative device designs to enhance the performance and functionality of nanoscale field-effect transistors (FETs), striving to create more efficient, low-power devices for energy-efficient computing. Beyond nanoscale electronics, Dr. Liang extends his expertise to spintronics, exploring advanced materials for spin-based electronic devices. His research harnesses electron spin for data storage, logic operations, and information processing, driving significant advancements in spintronic technologies. He also explores neuromorphic computation, stochastic computation, and quantum computation using non-volatile electronics grounded in spintronics and ferroelectric materials, pushing the boundaries of computing systems. Additionally, he investigates alternative computing paradigms, particularly stochastic computing.