Beiyu Lin

Assistant Professor of Computer Science
Expertise: Machine learning, Artificial intelligence, Smart technology devices, Behavior modeling, Data mining


Beiyu Lin is a computer science professor with expertise on machine learning, deep learning, human dynamics, behavior modeling, home and building security, biomedical applications of AI, and smart environments.

In addition to mentoring students, Lin is a researcher whose findings have been published in multiple publications. She constructs computational models based on ambient data to identify people’s routine behavior patterns and assess their behavior changes. She also develops algorithms to apply these findings to diverse areas, such as personalized healthcare. Her latest studies have used computer modeling to examine disease spread patterns and social media conversations surrounding the COVID-19 pandemic.

Lin has received several honors and awards, including the Best Applied Data Science Paper Award at the Society for Industrial and Applied Mathematics' International Conference on Data Mining in 2021 and the People's Choice Award as part of the 2022 Institute of Electrical and Electronics Engineers Rising Stars' young professional poster competition.


  • Ph.D., Computer Science, Washington State University
  • M.S., Washington State University
  • M.S., Stony Brook University
  • B.S., Shanghai Maritime University