Jianliang Qian is a Professor at the Department of Mathematics and Department of Computational Mathematics, Science and Engineering at Michigan State University , East Lansing, MI. He earned his Ph.D. from Rice University and has held academic appointments at MSU since 2005, including roles as Assistant, Associate, and Full Professor. Since 2015, he has served as Director of the Michigan Center for Industrial and Applied Mathematics . Research Interests: His work focuses on big-data analysis via inverse problems , fast algorithms for geophysical and medical imaging , microlocal analysis , numerical methods for PDEs , and optimal control . Key applications include high-frequency wave modeling, seismic inversion, and genome architecture reconstruction. Article Trends: Recent publications emphasize high-frequency wave propagation , level-set inversion techniques , machine learning integration into wave modeling, tensor methods for high-dimensional problems, and adaptive algorithms for Helmholtz and Hamilton-Jacobi equations. Leadership: As Director of the Michigan Center for Industrial and Applied Mathematics, he organizes seminars and workshops, including the Conference on Wave Challenges (2015) and MCIAM Seminars series.


