Prof. Bo Yang | Social Internet of Things | Best Researcher Award
Work Experience đź’Ľ:
Prof. Bo Yang is a seasoned academic and researcher, currently serving as a Professor at Northwestern Polytechnical University (NPU) in Xi’an, China. His expertise spans AI-driven wireless networks, mobile edge computing, and intelligent surface design. He has previously worked as a Research Fellow at Singapore University of Technology and Design (SUTD) and as a Postdoctoral Fellow at Prairie View A&M University, contributing to advanced projects funded by A*STAR and the U.S. Department of Defense. Prof. Yang’s career is marked by impactful research and successful industry collaborations.
Awards and Honors
Prof. Bo Yang has received numerous prestigious awards and honors throughout his career. Notably, he was awarded the NNSF for Excellent Young Scientists Fund Program (Overseas) in recognition of his outstanding research contributions. Additionally, his work during his postdoctoral fellowship at Prairie View A&M University earned him a nomination for the Excellence in Scholarly Research Award in 2020. His research excellence has also led to significant recognition within the academic and industry communities, including contributions to high-impact journal articles, patents, and IEEE standard proposals.
Research Interests:
Prof. Bo Yang’s research interests lie at the intersection of AI-powered wireless networks, mobile edge/cloud computing, big data analysis, and network security. He focuses on the design of reconfigurable intelligent surfaces (RIS) and computational intelligent surfaces, aiming to enhance wireless communication and network optimization. His work also explores the integration of edge computing in next-generation autonomous driving networks, as well as the development of innovative techniques for RF spectrum purification and network optimization. Prof. Yang’s contributions advance the field of intelligent networking with a focus on practical, scalable solutions.
đź“š Publications
Computation Offloading in Multi-Access Edge Computing: A Multi-Task Learning Approach
- Authors: B. Yang, X. Cao, J. Bassey, X. Li, L. Qian
- Journal: IEEE Transactions on Mobile Computing
- Volume & Pages: 20(9), 2745-2762
- Cited by: 167
- Year: 2020
- Authors: B. Yang, X. Cao, C. Yuen, L. Qian
- Journal: IEEE Internet of Things Journal
- Volume & Pages: 8(12), 9878-9893
- Cited by: 140
- Year: 2020
Edge Intelligence for Autonomous Driving in 6G Wireless System: Design Challenges and Solutions
- Authors: B. Yang, X. Cao, K. Xiong, C. Yuen, Y.L. Guan, S. Leng, L. Qian, Z. Han
- Journal: IEEE Wireless Communications
- Volume & Pages: 28(2), 40-47
- Cited by: 138
- Year: 2021
Mobile-Edge-Computing-Based Hierarchical Machine Learning Tasks Distribution for IIoT
- Authors: B. Yang, X. Cao, X. Li, Q. Zhang, L. Qian
- Journal: IEEE Internet of Things Journal
- Volume & Pages: 7(3), 2169-2180
- Cited by: 126
- Year: 2019
- Authors: X. Cao, B. Yang, C. Huang, C. Yuen, M. Di Renzo, D. Niyato, Z. Han
- Journal: IEEE Journal on Selected Areas in Communications
- Volume & Pages: 39(10), 3035-3050
- Cited by: 102
- Year: 2021
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