Scholar
Yun-Bo Zhao
Google Scholar ID: vlM_rSkAAAAJ
University of Science and Technology of China
Citations & Impact
Citations
1,519
H-index
22
i10-index
51
Publications
20
Co-authors
26
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - Ma Shusen's paper accepted by The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26)
- - Xi Jiying's paper accepted by Health Information Science and Systems
- - Wang Xiaofei's paper accepted by 34th International Joint Conference on Artificial Intelligence
- - A collaborative paper accepted by IEEE Transactions on Control of Network Systems
- Awards:
- - Wu Ke successfully selected for the second batch list of the USTC Doctoral Training Program in Urgent Fields
- - Wang Xiaoying won the first prize in the 11th 'Challenge Cup·Huaan Securities' Anhui Provincial College Students' Extracurricular Academic and Scientific Works Competition
- - Yu Bizhen et al. received 50,000 RMB support from USTC's 2024 'Eagle Fund' Original Research Project
- Other Contributions:
- - Prof. Yun-Bo Zhao published a translated book titled 'Dynamic System Modeling and Simulation Examples Based on MATLAB and Python'
- - Prof. Yun-Bo Zhao was invited by the Swarms Club to organize a reading group on 'Human-Computer Interaction and Collaboration in the Era of Large Models' and gave a keynote speech
Research Experience
- Leads the Networked Intelligent Control Lab (NIC Lab) at the Department of Automation & Institute of Advanced Technology, University of Science and Technology of China, focusing on AI-driven human-machine, industrial, and control intelligence.
Background
- Research Interests: AI-Driven Human-Machine Intelligence, AI-Driven Industrial Intelligence, AI-Driven Control Intelligence. Focus areas include fundamental theory and methodologies of control-oriented human-machine hybrid intelligence, smart manufacturing, co-design of wireless networked control systems and its security, etc.
Miscellany
- Prospective Master and PhD students are always welcome to join the NIC Lab. For more information, one can contact via email or connect with existing lab members.
