assistant dean , Guizhou University , China
Yang Jing is an Associate Professor and Master Supervisor at Guizhou University, with a distinguished career focused on multimodal fusion perception and high-performance computing. He has made significant contributions to the field, authoring over 50 SCI/EI-indexed papers, and is a highly respected figure in academia, serving as a peer reviewer for numerous international conferences and journals.
Profile
Scopus
Strengths for the Award
- Research Output: Yang Jing has an extensive and impressive research portfolio, with over 50 SCI/EI indexed papers, including highly cited works. This demonstrates a significant contribution to the fields of edge computing, data intelligence, and cognitive computing.
- Patents and Innovation: With 26 invention patents applied and 11 authorized, Yang Jing has a strong record of innovation. His work on tactile perception and continuous learning is at the forefront of technological advancement.
- Leadership and Impact: As an associate professor and master supervisor, Yang Jing has led numerous national and provincial-level projects, showcasing his leadership in research. His role in guiding students to win prestigious competitions further highlights his impact on the academic community.
- Recognition and Awards: Yang Jing has received multiple awards, including the Science and Technology Progress Award from the Ministry of Education and the Guizhou Provincial Science and Technology Progress Award. These accolades reflect his recognition within the scientific community.
- Service to the Academic Community: His involvement in peer review for over 20 international conferences and journals, along with his role as a review expert for the National Natural Science Foundation of China, demonstrates his commitment to the broader academic community.
Areas of Improvement
- International Collaboration: While Yang Jing has engaged in some international collaborations, there is room for expanding his global research network further. Building stronger international partnerships could enhance the visibility and impact of his work.
- Interdisciplinary Research: While his research is already diverse, increasing interdisciplinary collaborations, particularly with fields outside his primary focus areas, could open new avenues for innovation and broader application of his research findings.
Public Engagement: Enhancing public engagement and the dissemination of his research to a broader, non-specialist audience could further amplify his impact. This could include more public lectures, popular science articles, or participation in media discussions on relevant topics.
Education
Yang Jing holds a Ph.D. in Mechanical and Electronic Engineering from Guizhou University, completed in 2020. He was jointly trained as a Ph.D. candidate by Oklahoma State University and was a visiting scholar under the “Western Light” program in 2022. He also earned a master’s degree in Mechanical Engineering from Guizhou University and a bachelor’s degree in Computer Science and Technology from Anyang Normal University.
Experience
Yang Jing currently serves as an Associate Professor and Master Supervisor at Guizhou University’s State Key Laboratory of Public Big Data. His academic journey includes a previous role as a Lecturer at Guizhou University and a visiting scholar position at Shanghai Jiao Tong University. He has been actively involved in various national and provincial research projects, demonstrating his leadership in cutting-edge technology development.
Research Interests
Yang Jing’s research primarily revolves around data intelligence and cognitive computing, with a particular focus on edge computing, continuous learning, and zero-time learning. His work in these areas has contributed to advancements in the field, particularly in intelligent computing technologies.
Awards
Yang Jing has received numerous accolades, including the second prize of the Science and Technology Progress Award from the Ministry of Education in 2022, and multiple teaching achievement awards at both the provincial and university levels. He has also guided students to success in various national competitions, showcasing his commitment to educational excellence.
Publications
Yang Jing has published extensively in high-impact journals. Below are some of his notable publications:
- Research on Catastrophic Forgetting of Intelligent Robot Visual Continuous Learning in Dynamic Scenes – Journal Name, 2022 Cited by 50 articles.
- Edge Computing Adaptive Traffic Scheduling Technology with Offloading Delay Perception – Journal Name, 2023 Cited by 30 articles.
- Key Technologies of Intelligent Tactile Perception for Manipulators – Journal Name, 2021 Cited by 20 articles.
Conclusion
Yang Jing is a strong candidate for the Best Researcher Award, given his significant contributions to multimodal fusion perception, high-performance computing, and edge computing. His prolific research output, combined with his leadership in guiding students and his recognized innovation through patents, makes him a standout researcher in his field. While there are areas for further growth, particularly in international collaboration and public engagement, his current achievements make him highly deserving of the award.