Projects per year
Personal profile
Personal profile
Yuan Yao received his B.S. degree in Computer Science from University of Nottingham in 2012 and his Ph.D. degree in Computer Science from the same university in 2017. He is currently an assistant professor in the School of Computer Science, University of Nottingham Ningbo China. Prior to that, he was a lecturer in the School of Computer Science and Technology, Zhejiang University of Technology.
DBLP: https://dblp.org/pid/25/4120-7.html
Google Scholar: https://scholar.google.com/citations?user=cLg0sjYAAAAJ
ORCID: orcid.org/0000-0002-2705-6245
Research Interests
My research interests are in Artificial Intelligence, in particular, the area of Autonomous Agents and Multi-Agent Systems (MAS) including the following topics: Agent Reasoning (How can agents behave in smart ways), Agent Learning (How can agents learn from the environment), Agent Architecture and Agent Programming Languages (How to effectively develop agent-based systems), Logics and Verification (How to verify and validate large-scale Multi-Agent Systems). I’m also interested in Agent-Oriented Software Development (e.g., how to integrate MAS engineering with mainstream software engineering models, languages, frameworks and tools), and MAS applications in specific domains.
Teaching
- COMP1048: Databases and Interfaces
- COMP1039: Programming Paradigms
Person Types
- Staff
Fingerprint
Collaborations and top research areas from the last five years
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A Max-Relevance-Min-Divergence criterion for data discretization with applications on naive Bayes
Wang, S., Ren, J., Bai, R., Yao, Y. & Jiang, X., May 2024, In: Pattern Recognition. 149, 110236.Research output: Journal Publication › Article › peer-review
Open Access5 Citations (Scopus) -
Discriminative multi-scale adjacent feature for person re-identification
Qi, M., Chan, S., Hong, F., Yao, Y. & Zhou, X., Jun 2024, In: Complex and Intelligent Systems. 10, 3, p. 4557-4569 13 p.Research output: Journal Publication › Article › peer-review
Open Access -
Exploring Emotional Responses with Dynamic Difficulty Adjustment Adaptation in Immersive Virtual Reality Exergaming
Han, R., Lee, B. G., Towey, D., Yao, Y. & Pike, M., 2024, 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, p. 621-627 7 p.Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review
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Incorporating Online Learning Into MCTS-Based Intention Progression
Song, C., Yao, Y. & Chan, S., 2024, In: IEEE Access. 12, p. 56400-56413 14 p.Research output: Journal Publication › Article › peer-review
Open Access -
Learning Discriminatory Information for Object Detection on Urine Sediment Image
Chan, S., Wu, B., Zhang, G., Yao, Y. & Wang, H., 22 Sept 2024, In: Computer Modeling in Engineering and Science. 138, 1, p. 411-428Research output: Journal Publication › Article › peer-review