Daqing Guo (郭大庆)
Scholar

Daqing Guo (郭大庆)

Google Scholar ID: r3XU9PEAAAAJ
Professor, University of Electronic Science and Technology of China, China
Computational neuroscienceDigital Twins of BrainAnalysis of Neurodata
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Citations & Impact
All-time
Citations
2,084
 
H-index
29
 
i10-index
53
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published/received over 80 SCI-indexed papers in international journals such as IEEE Transactions, PLoS Computational Biology, IJNS, and Physical Review series. Won the second prize of the 'Huang Jiasi Biomedical Engineering Award' from the Chinese Society of Biomedical Engineering in 2019 (ranked 3rd). Received the second prize of the Ninth Natural Science Award from the Chinese Society of Theoretical and Applied Mechanics (ranked 3rd). Won the 'IOP China Highly Cited Author Award' in 2018 and 2021. Won the 'UESTC Academic Newcomer Award' in 2016. Served as an editorial board member for five international journals.
Research Experience
  • Led multiple national (National Natural Science Foundation, Ministry of Science and Technology key research projects, etc.) and provincial/ministerial-level international cooperation key/talent projects. Participated in significant major project developments, including National Natural Science Foundation instrument development and Ministry of Science and Technology major scientific research instrument and equipment development.
Education
  • University of Electronic Science and Technology of China, Doctor of Engineering
Background
  • Professor and doctoral supervisor, selected for national young talent, Sichuan Province's outstanding young scientists, and top young talents. Research interests include computational neuroscience and brain-like research, focusing on discovering new mechanisms of brain information processing, developing efficient spiking neural network learning methods inspired by the brain, creating high-precision digital twin brain theories and computing platforms, and exploring new information-based methods for brain disease intervention and treatment.
Miscellany
  • Personal interests not mentioned.
Co-authors
0 total
Co-authors: 0 (list not available)