Shaobo Han
Researcher at NEC Laboratories America, Inc.
Princeton, New Jersey, United States
Summary
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Senior🎓
Top SchoolShaobo Han is a machine learning researcher with a decade of experience translating advanced statistical and signal-processing theory into practical sensing solutions. Currently a Senior Researcher at NEC Labs America in Princeton, he develops ML and signal-processing algorithms for distributed optical fiber sensing, focusing on anomaly detection, object localization, transfer/continual learning, and domain adaptation. His background spans a PhD in Machine Learning and MS in Statistics from Duke, plus earlier training in signal processing and electrical engineering, giving him deep cross-disciplinary fluency. He has academic roots as a Duke postdoc and research assistant and has interned at IBM Research, reflecting a steady trajectory from foundational research to applied R&D. Notably, he blends few/zero-shot and weakly supervised approaches to make low-level fiber sensor outputs actionable for safety, security, and infrastructure monitoring. Based in Princeton, he pairs rigorous theory with systems-minded thinking to drive real-world sensing deployments.
10 years of coding experience
9 years of employment as a software developer
Master's degree, Signal and Information Processing, Master's degree, Signal and Information Processing at University of Chinese Academy of SciencesMaster's Degree, Statistics, Master's Degree, Statistics at Duke UniversityBachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Xidian University
Stackoverflow
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Github contributions (4)
shaobohan/VariationalGaussianCopula
Mar 2016 - Mar 2016
Contributions:49 commits, 1 push in 1 day
shaobohan/needle-gp-cuda
Jan 2023 - Jan 2023
Contributions:1 push, 1 branch in 1 day
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