Lei is a Ph.D. of the Wind Engineering Research Group at Northeastern University. His research interests include wind load modeling, random vibration and wind-induced risk assessment. He develops accelerated performance-based wind engineering framework using stochastic approximation algorithm and machine learning techniques.
Lei is also a MSCS graduate at Georgia Tech. Some relevant courses are Software Architecture Design, Operating Systems, Algorithms, Artificial Intelligence for Robotics, Machine Learning, etc.
M.S. in Computer Science, 2024
Georgia Institute of Technology
Ph.D. in Civil Engineering, 2024
Northeastern University
M.E. in Civil Engineering, 2019
Tongji University
B.E. in Civil Engineering, 2016
Tongji University
Java, JavaScript, Python, C/C++, R
NodeJS, ReactJS, jQuery, Bootstrap
Linux, Git/Github, Vim, MongoDB, MySQL