He YuhuiProfessor
Yuhui He got his Ph.D on microelectronics from Peking University in 2009. After that He worked at Institute of Microelectronics, Chinese Academy of Sciences and then at Institute of Scientific & Industrial Research, Osaka University from 2009 to 2015. In September 2015, He joined Huazhong University of Science and Technology as a full professor, and was selected by the oversea talent young scientists program of China central government (2016).Prof. He's research focuses on the interdisciplinary field between nanoelectronics and biology. He has worked on nanopore-based single-molecul... More>
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates
Gender:Male
Status:Employed
Department:IC College
Education Level:Postgraduate (Doctoral)
Degree:Doctoral Degree in Engineering
Discipline:Microelectronics and Solid-state Electronics
2004.9 - 2009.7
Peking University | Microelectronics and Solid-state Electronics | Postgraduate (Doctoral) | Doctoral Degree in Science | 导师：韩汝琦先生
1999.9 - 2003.7
Peking University | Microelectronics and Solid-state Electronics | Undergraduate (Bachelor’s degree) | Bachelor's Degree in Science
2010.12 - 2015.8
Osaka University | Institute of Scientific & Industrial Research | Researcher (full-time) | Over | JSPS Postdoctoral fellowship, with Professor Tomoji Kawai, Professor Masateru Taniguchi and Professor Makusu Tsutsui
2009.6 - 2010.11
Chinese Academy of Sciences | Institute of Microelectronics | Post Doctor | Finished | 合作导师：刘明院士
[ 1 ] 类脑计算与器件
- Reconfigurable two-WSe2-transistor synaptic cell for reinforcement learning.Advanced Materials.2022
- Reconfigurable Synaptic and Neuronal Functions in a V/VOx/HfWOx/Pt Memristor for Nonpolar Spiking Convolutional Neural Network.Advanced Functional Materials.2022
- Graphene–ferroelectric transistors as complementary synapses for supervised learning in spiking neural network.NPJ 2D Materials & Applications.2019,3 :31
- Threshold Switching Memristor-based Stochastic Neuron for Probabilistic Computing.Materials Horizons.2021,8 :619-629
- Nanochannel-Based Transport in an Interfacial Memristor Can Emulate the Analog Weight Modulation of Synapses.Nano Letters.2019,19 :4279-4286