Professor Liu, Shinan 刘诗楠
Professor Liu, Shinan 刘诗楠
Prof. Shinan Liu is an Assistant Professor at the Department of Data and Systems Engineering, University of Hong Kong. He directs the Networked AI Systems and Security (NAISS) Lab. He earned his Ph.D. in Computer Science from the University of Chicago, where he is advised by Prof. Nick Feamster. He led the NSF ACTION AI Institute student advisory council and is a recipient of the ML and Systems Rising Stars, the CBI fellowship, the ACTION AI Fellowship, and the Daniels Fellowship.
| Year | Awarding Institution | Qualification |
|---|---|---|
| 2019 - 2025 | The University of Chicago | PhD in Computer Science |
| 2015 - 2019 | University of Electronic Science and Technology of China | B.Eng. (Honors) |
I am an Assistant Professor at The University of Hong Kong, directing the Networked AI Systems and Security Lab (NAISS Lab) in DASE. I earned my Ph.D. and M.S. in Computer Science at The University of Chicago, advised by Prof. Nick Feamster. During my Ph.D., I also worked closely with Prof. Vyas Sekar. I received my B.Eng. (Honors) from the Yingcai Honors College of UESTC. I am the recipient of the 2025 ML and Systems Rising Stars, the Carnegie Bosch Fellowship, the ACTION AI Fellowship, and the Daniels Fellowship.
My research lies in the area of Computer Networking and Security, with a focus on developing accessible, reliable, and performant machine learning systems for network data analysis, and employing network data analysis for critical issues in security and privacy. My work often focuses on network traffic analysis, cellular networks, the Internet of Things, and cyber-physical systems. My work has been recognized and published in top conferences and journals such as USENIX Security, NSDI, SIGMETRICS, CoNext, and UbiComp.
I served as the head of NSF ACTION AI Institute student advisory council. And I also serve ACM IMC and USENIX NSDI as a PC member and a member of the pre-review task force, and I am also a reviewer of NeurIPS, USENIX ATC, IEEE INFOCOM, IEEE TDSC, IEEE TIFS, IEEE IoTJ, and etc. Additionally, my research has been featured in multiple media outlets, including Forbes, The Wall Street Journal, and ACM TechNews.
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