Olivia Chen (オリビア 陳), is an assistant professor at the Institute of Advanced Sciences of Yokohama National University, Japan. Her current researches include superconducting electronics, extremely high energy-efficient computing, deep learning hardware accelerator and design automation for superconducting VLSI implementation.
She was a research associate at YNU, Yoshikawa Laboratory, Yokohama, Japan (2017), part-time lecturer at YNU, Department of Electrical and Computer Engineering, Yokohama, Japan (2014-2017).
Dr. Chen received her PhD degree in Electronic Engineering from YNU, Yokohama, Japan (2017). She received her master’s degree in Electronic Engineering from YNU, Yokohama, Japan (2014).
She is a member of IEEE and was a member of IEICE until she forgot to wire the membership fee, she just earned her IEICE membership back by wiring a lot of money.
(Principal Investigator) An Ultra-Low Power Neural Network Based on the Co-Development of Algorithm, Software and Hardware, founded by JST Presto Computing Frontiers Program from the Japan Science and Technology Agency (JST).
(Principal Investigator) Development of Low Power Deep Learning Chip Using Superconducting Adiabatic Quantum-Flux-Parametron, founded by Grant-in-Aid for Early-Career Scientists No. 19K15041 from the Japan Society for the Promotion of Science (JSPS).
IARPA SuperTools Program, founded by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via the U.S. Army Research Office grant W911NF-17-1-0120.
