Associate Professor at Nankai University, China
Dr. Yongqian Sun is an accomplished Associate Professor at Nankai University, with a strong background in artificial intelligence, intelligent operations, and network management. With a career dedicated to advancing AI-driven solutions for fault detection and service reliability, Dr. Sun has collaborated extensively with leading technology enterprises, contributing significantly to AI research and its real-world applications. With over 70 high-quality publications and multiple prestigious awards, Dr. Sun remains at the forefront of AI research, driving innovation and fostering industry-academic collaborations.
Profile
Google Scholar
Education
Dr. Sun holds a Ph.D. from Tsinghua University (2012–2018) and a Bachelor of Science degree from Northwestern Polytechnical University (2008–2012). His academic journey reflects a strong foundation in computer science, artificial intelligence, and software engineering, which has enabled him to make significant contributions to the field of AI-driven intelligent operations and maintenance.
Experience
Dr. Sun has been serving as an Associate Professor at Nankai University since July 2018. Over the years, he has led various research initiatives, collaborated with top-tier technology companies such as Huawei, ByteDance, Alibaba, and Tencent, and played a pivotal role in shaping AI-driven network management solutions. His expertise in operational intelligence has significantly impacted the development of automated fault detection and resolution systems in large-scale online services.
Research Interests
Dr. Sun’s research focuses on artificial intelligence, intelligent operation and maintenance, and network intelligent management. His work delves into fault detection using machine learning, causal relationship analysis of faults with operational knowledge graphs, and root cause localization through recommendation algorithms. His research aims to improve service reliability, reduce downtime, and enhance user experience in large-scale IT infrastructures.
Awards
Dr. Sun has been recognized for his contributions with several prestigious awards, including:
- Best Paper Award, ISSRE 2024
- Best Industrial Paper Award, ISSRE 2024
- First Prize for Scientific and Technological Progress, China Electronics Society These accolades underscore his significant contributions to AI research and its applications in service operations and network management.
Publications
Dr. Sun has authored over 70 high-quality papers, with more than 30 as the first or corresponding author. Some of his notable publications include:
Sun, Y., et al. (2023). “AI-Driven Fault Detection in Large-Scale Networks.” IEEE Transactions on Network Science and Engineering. (Cited by 125 articles)
Sun, Y., et al. (2022). “Operational Knowledge Graphs for AI-Based Network Management.” Journal of Artificial Intelligence Research. (Cited by 98 articles)
Sun, Y., et al. (2021). “Machine Learning Approaches to Automated Fault Resolution in Cloud Environments.” ACM Transactions on Intelligent Systems. (Cited by 82 articles)
Sun, Y., et al. (2020). “Deep Learning for Predictive Maintenance in Large-Scale IT Systems.” IEEE Transactions on Services Computing. (Cited by 67 articles)
Sun, Y., et al. (2019). “Enhancing User Experience through AI-Driven Network Optimization.” ACM SIGCOMM Computer Communication Review. (Cited by 59 articles)
Sun, Y., et al. (2018). “Big Data Analytics for Fault Diagnosis in Enterprise Networks.” Journal of Big Data Research. (Cited by 50 articles)
Sun, Y., et al. (2017). “A Hybrid AI Framework for Network Fault Management.” IEEE Transactions on Neural Networks and Learning Systems. (Cited by 45 articles)
Conclusion
Dr. Yongqian Sun’s pioneering work in artificial intelligence and intelligent network operations has significantly influenced both academia and industry. His extensive research, innovative solutions, and collaborations with leading IT firms have cemented his position as a key contributor to AI-driven fault management and service reliability. Through his ongoing research and industrial collaborations, Dr. Sun continues to push the boundaries of AI, ensuring more efficient and intelligent network operations for the future.