Shaobo Han

Shaobo Han

Senior Researcher

NEC Labs America

I am a Senior Researcher at NEC Laboratories America, where I work on the design and development of machine learning and signal processing algorithmic solutions for real-world sensing applications. I’m interested in generalizable AI methods that can address limitations in training data acquisition and domain shifts in deployment environments. I received my Ph.D. in Electrical and Computer Engineering and M.S. in Statistical Science from Duke University. My Ph.D. advisor was Lawrence Carin. I am a Senior Member of IEEE.

His research interest includes:

  • Probabilistic/deep generative models and structured variational inference,
  • Multitask/transfer learning, cross-domain model adaptation,
  • Bayesian statistics, sparsity, and latent variable models,
  • Signal processing and sensing applications.