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Jianliang Qian's main research interest focuses on big data analysis, particularly in solving inverse problems and developing fast algorithms. His group works on various applications of scientific computing and numerical analysis, with a strong emphasis on geophysical inversion and medical imaging. Qian employs advanced tools from microlocal analysis, harmonic analysis, optimal control, calculus of variations, and partial differential equations. His innovative approaches aim to enhance the efficiency of algorithms used in these complex areas of study, making significant contributions to both theoretical and practical aspects of mathematics and engineering.
Department of Psychology