معرفی
Haibo Wang is an Assistant Professor in the Department of Computer Science at the University of Kentucky's Stanley and Karen Pigman College of Engineering. His work focuses on network systems, traffic measurement, and data stream algorithms with applications in IoT and edge computing infrastructure.
Education:
- PhD in Computer Science, University of Florida (2019-2023)
- MS in Computer Science, University of Science and Technology of China (2016-2019)
- B.Eng, University of Science and Technology of China (2012-2016)
Research interests center on network traffic measurement and monitoring using advanced data sketches, streaming algorithms for high-speed networks, edge-cloud computing architectures, and IoT systems optimization. His lab develops novel techniques for real-time network analysis with applications in distributed systems and vehicular edge environments.
Recent publications (2023-2025) reveal a strong trajectory in sketch-based network measurement, evolving toward distributed systems for deep learning clusters and vehicular edge computing. Key themes include non-duplicate sampling techniques, burst detection in high-speed streams, and robust resource allocation across multi-cluster environments.
Scientific Awards:
- IEEE ICNP 2021 Best Paper Award
- Excellent Reviewer of IEEE Transactions on Network Science and Engineering (2023)
- Distinguished TPC Member of IEEE INFOCOM (2024, 2025)
Dr. Wang advises four graduate students: Aayush Karki and Ahashan Habib Niloy (PhD candidates), Jiamu Song and Machael Hentz (Master's students). His service includes TPC roles for IEEE INFOCOM, CLOUD, and MASS conferences, plus journal reviewing for IEEE/ACM Transactions on Networking and IEEE Transactions on Mobile Computing.
He leads an active research group developing next-generation network measurement frameworks, with current projects spanning optical circuit switching in reconfigurable datacenters, distributed task offloading for vehicular networks, and efficient cross-cluster communication systems.
