Macquarie University
Fredo Chavez is a PhD candidate at the School of Engineering, Macquarie University, Australia. His work primarily focuses on compact modeling of advanced semiconductor devices, deep learning, and parameter extraction techniques. He has published over 10 papers in prestigious journals and conferences, and has contributed significantly to the field through his research on deep learning based parameter extraction techniques for FinFETs, GaN-HEMTs and neural network-based compact modeling of transistors.
Currently, Fredo works as an RF Test Engineer at Altum RF, where he applies his expertise in developing softwares for automation of electronic testing and circuit design. In 2011, he graduated cum laude with a BS degree in Electronics Engineering in Saint Louis University, Philippines. and in 2022, he received the University Medal for Electronics Engineering from Macquarie University.
T07.5 - Application of Artificial Intelligence for Modeling SiC Power MOSFETs
Tuesday, March 18, 2025
9:50 AM – 10:10 AM ET