Prof. Yuguo Yu, Fudan University, China
Yuguo Yu, Ph.D., is a distinguished professor in Brain-inspired Artificial Intelligence and Computational Neuroscience at Fudan University, where he has been a faculty member since 2011. He currently serves as a professor at both the Research Institute of Intelligent Complex Systems and the National Key Laboratory of Medical Neurobiology. Yu obtained his Bachelor’s degree in Physics from Lanzhou University in 1995 and completed his Ph.D. in Condensed Matter Physics at Nanjing University in 2001. He pursued postdoctoral training in Computational/Behavior Neuroscience at Carnegie Mellon University from 2001 to 2004 and was an Associate Research Scientist at Yale University from 2005 to 2011, where he continues to contribute as a visiting Research Scientist since 2021. Yu has been recognized for his academic excellence through prestigious awards, including the Shanghai Eastern Scholar Professorship in 2013 and the Shanghai Excellent Academic Leader award in 2021. He is an active member of the Chinese Society of Computational Neuroscience and serves as an associate editor for several prominent journals, including IEEE Transactions on Cognitive and Developmental Systems and Frontiers in Computational Neuroscience. His research interests encompass brain-inspired neural networks, cellular mechanisms of energy-efficient cortical dynamics, synaptic learning mechanisms, and large-scale cortical network modeling, with over 100 publications in leading journals such as Nature and Neuron. Yu has also led or participated in numerous national foundation projects, advancing the field of computational neuroscience.
Professional Profile:
GOOGLE SCHOLAR
Research for Best Researcher Award
Candidate Overview: Dr. Yuguo Yu is a prominent researcher and professor in Brain-inspired artificial intelligence and computational neuroscience at Fudan University. With extensive academic and research experience, he is a strong candidate for the Best Researcher Award due to his significant contributions to the field, impactful publications, and leadership roles.
Education
- B.Sc. in Physics
Lanzhou University, 1995
- Ph.D. in Condensed Matter Physics
Nanjing University, 2001
- Postdoctoral Researcher in Computational Neuroscience
Carnegie Mellon University, 2001–2004
- Research Scientist in Neurobiology
Yale University, 2005–2011
Work Experience
- Professor
Research Institute of Intelligent Complex Systems, Fudan University, 2020–Present
- Professor
National Key Laboratory of Medical Neurobiology, Fudan University, 2013–Present
- Visiting Research Scientist
Yale University School of Medicine, 2021–Present
- Associate Research Scientist
Department of Neuroscience, Yale University, 2005–2011
Research Interests:
- Brain-inspired Intelligence and Computational Neuroscience
- Neural Computation Model
- Neural Coding Theory
- Network Topology Analysis
- Sensory Fusion Mechanism
- Brain Connectome Atlas
- Self-organizing Learning Algorithm
- Multi-sensory Fusion Model
- Low-power Mechanism of the Human Brain 🔍
Publication Top Notes
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