基本信息
views: 44
Career Trajectory
Bio
Farnood Merrikh-Bayat received the M.Sc. and Ph.D. degrees in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 2008, and 2012, respectively, and the Ph.D. degree in computer engineering from the University of California, Santa Barbara, CA, USA, in 2015.
He was a Post-Doctoral Researcher in computer engineering with the University of California until 2017. His current research interests include abusing emerging device technologies to efficiently implement hardware accelerators for deep neural networks and machine learning algorithms, high-performance computing with beyond complimentary metal–oxide–semiconductor, nonconventional architectures and designs, and smart systems and vehicles.
Research Interests
Papers共 36 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
ECS Meeting Abstractsno. 18 (2018): 740-740
Neuro-inspired Computing Using Resistive Synaptic Devicespp.113-134, (2017)
IEEE Transactions on Electron Devicesno. 1 (2017): 318
Cited0Views0Bibtex
0
0
Load More
Author Statistics
#Papers: 36
#Citation: 4297
H-Index: 23
G-Index: 34
Sociability: 4
Diversity: 3
Activity: 0
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn