Prof. Maokun Li currently works as an Associate Professor at the Department of Electronic Engineering, Tsinghua University. He obtained a B.S. in electronic engineering at Tsinghua University, an M.S. and a Ph.D. in electrical and computer engineering at the University of Illinois at Urbana-Champaign, Urbana, IL, USA. He is also a member of the Institute of Electrical and Electronics Engineers (IEEE), the Applied Computational Electromagnetics Society (ACES), the Society for Industrial and Applied Mathematics (SIAM), and the Society of Exploration Geophysicists (SEG). His research interest is in electromagnetic theory, especially on fast algorithms in computational electromagnetics, inverse scattering problems, and their applications to large-scale electromagnetic problems, electromagnetic compatibility analysis, geophysical exploration, biomedical imaging, etc.
Research Keywords & Expertise
machine learning
Biomedical Imaging
inverse scattering
Electromagnetic theory
Deep learning.
Large-scale electromag...
Electromagnetic compat...
Geophysical exploratio...
Fast algorithms in com...
Fingerprints
21%
Deep learning.
12%
inverse scattering
8%
machine learning
5%
Biomedical Imaging
5%
Fast algorithms in computational electromagnetics
5%
Electromagnetic theory
Short Biography
Prof. Maokun Li currently works as an Associate Professor at the Department of Electronic Engineering, Tsinghua University. He obtained a B.S. in electronic engineering at Tsinghua University, an M.S. and a Ph.D. in electrical and computer engineering at the University of Illinois at Urbana-Champaign, Urbana, IL, USA. He is also a member of the Institute of Electrical and Electronics Engineers (IEEE), the Applied Computational Electromagnetics Society (ACES), the Society for Industrial and Applied Mathematics (SIAM), and the Society of Exploration Geophysicists (SEG). His research interest is in electromagnetic theory, especially on fast algorithms in computational electromagnetics, inverse scattering problems, and their applications to large-scale electromagnetic problems, electromagnetic compatibility analysis, geophysical exploration, biomedical imaging, etc.