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YU Zenghui
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Update time: 2017-07-05
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Name:YU Zenghui        
Gender:Male
Nationality:P.R.China
Education:Ph.D        
E-Mail:yuzenghui@ime.ac.cn 
Department:Smart Sensing Centre
Address:3 Beitucheng West Road, Chaoyang District, Beijing, PR China        
Postcode:100029
Tel:+86-10-82995570        
Fax:+86-10-62055514


Education Background:
2006.09-2011.06 Institute of Microelectronics of CAS, Master & Doctor
2002.09-2006.06 Hunan university, Bachelor

Professional Experience:
2017-now Institute of Microelectronics of CAS, Associate Professor
2011-2016 Institute of Microelectronics of CAS, Assistant Professor

Research Interests:
Ultra-low-power microprocessor architecture
Ultra-low-power new processor architecture for intelligent computing and smart sensing
Digital signal processing algorithms and low power VLSI implementation

Publications:
[1]Yu Zenghui, Hei Yong, Zhou Yumei, etc. Low power hardware implementation of multi-channel wide dynamic range compression for digital hearing aids. Journal of Harbin Engineering University, 2012, 33(1) :106-111 (EI).
[2] Li-Ming Chen, Zeng-Hui Yu, Xiao-Yu Hu, etc. A 1-V, 1.2-mA fully integrated SoC for digital hearing aids. Microelectronics Journal, 2015, 46:12-19 (SCI. IF: 0.924).
[3] Yu Zenghui, Hei Yong, Guo Kun, etc. A method of low-power optimization for memory and its application. Microelectronics, 2010, 40(6): 828-831.
[4] Yu Zenghui, Hei Yong, Chen Liming. Algorithm research and low-power VLSI design of a multi-channel digital hearing aid. Microelectronics & computer, 2012, 29(4): 14-18.
[5] Yuan Jia, Chen Liming, Yu Zenghui, Hei Yong. A sub-milliwatt audio-processing platform for digital hearing aids. Journal of Semiconductors, 2014, 35(7): 75008-75012 (EI).
[6] Chengying Chen, Liming Chen, Jun Fan, Zenghui Yu, etc. A 1V, 1.1mW Mixed-Signal Hearing Aid SoC in 0.13μm CMOS Process. ISCAS 2016, 2016.5:225-228 (EI, ISTP).

Projects and Subjects Participated:
[1] National High-Tech Research and Development Program (863 Program)(2008AA010704):Research on key technology of ultra-low-power DSP for medical applications
[2] CAS Strategic Leading Science & Technology Programme (XDA06020401): Technology of ultra-low-power smart sensing
[3] CAS Science and Technology Service Network Initiative: Kernel chip and application technology of Internet of things




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