Shaobo Han is a researcher at NEC Laboratories America, working on the design and development of machine learning and signal processing techniques for real-world sensing applications. He is interested in generalizable AI methods that can cope with limitations in data acquisition and domain shifts in deployment environments. He received Ph.D. in Electrical and Computer Engineering and M.S. in Statistical Science from Duke University. His Ph.D. advisor was Lawrence Carin.
His research interest includes:
[2022/09] Our paper Using Global Existing Fiber Networks for Environmental Sensing" has been accepted by Proceedings of the IEEE.
[2022/07] Received Outstanding Performance Award 2022, Global Innovation Unit, NEC Corporation.
[2022/06] I will serve as a reviewer for ICLR 2023.
[2022/01] Two papers accepted to ICLR 2022. Topics include (i) test-time policy adaptation under ordinal reward, and (ii) zero-shot domain adaptation with multiway categorical domain descriptor.
[2021/06] Two AI-based fiber sensing solutions have been commercialized: NEC’s press release.