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Qing H. Liu, Professor of Electrical and Computer Engineering and Faculty Network Member of The Energy Initiative


Qing H. Liu

Qing H. Liu received the Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign in 1989. His research interests have been in computational electromagnetics and acoustics, inverse problems, and their application in geophysics, nanophotonics, and biomedical imaging. He has published more than 300 refereed journal papers in these areas. He was a Research Assistant (September 1986 to December 1988) and then a Postdoctoral Research Associate (January 1989 to February 1990) in the Electromagnetics Laboratory at the University of Illinois at Urbana-Champaign. From 1990 to 1995 he was a Research Scientist and then Program Leader with Schlumberger-Doll Research, Ridgefield, CT. From 1996 to 1999 he as an Associate Professor at New Mexico State University. Since June 1999 he has been with Duke University in the Department of Electrical and Computer Engineering where he is now a Full Professor.

Dr. Liu serves as the founding Editor in Chief of the IEEE Journal on Multiscale and Multiphysics Computational Techniques (JMMCT), and an Editor for the Journal of Computational Acoustics. 

Dr. Liu received the 1996 Presidential Early Career Award for Scientists and Engneers (PECASE) from the White House National Science and Technology Council, the 1996 Early Career Research Award from the Environmental Protection Agency, and the 1997 CAREER Award from the National Science Foundation. He is a Fellow of the IEEE, the Acoustical Society of America, Electromagnetics Academy, and the Optical Society of America. He serves as the Distinguished Lecturer of the IEEE Antennas and Propagation Society for 2014-2016.

Contact Info:
Office Location:  3469 CIEMAS, Durham, NC 27708
Office Phone:  (919) 660-5440
Email Address: send me a message
Web Page:

Teaching (Fall 2018):

    Hudson 201, WF 03:05 PM-04:20 PM


Ph.D.University of Illinois -- Urbana-Champaign1989
M.S.Xiamen University (China)1986
B.S.Xiamen University (China)1983


Medical Imaging
Computational Electromagnetics

Research Interests: Electromagnetic and acoustic waves for imaging, biomedical imaging, computational electromagnetics and acoustics, inverse scattering


Acoustic, Elastic, and Poroelastic Waves • Algorithms • Animals • Artifacts • Biomedical Imaging • Breast • Breast Neoplasms • Computer Simulation • Diagnosis, Computer-Assisted • Diagnostic Imaging • Discontinuous functions • Electric fields • Electric Impedance • Electrochemical Techniques • Electromagnetic Fields • Electromagnetics • Environment • Feasibility Studies • Finite Element Analysis • Fourier Analysis • Functional analysis • Gold • Graphite • Head • Hearing • Heart • Hot Temperature • Humans • Image Enhancement • Image Interpretation, Computer-Assisted • Image Processing, Computer-Assisted • Imaging, Three-Dimensional • Inverse Problems • Landforms • Least-Squares Analysis • Light • Likelihood Functions • Linear Models • Magnetic Resonance Imaging • Maxwell equations • Metal Nanoparticles • Mice • Mice, Inbred C57BL • Microwaves • Models, Biological • Models, Statistical • Myocardium • Nanoparticles • Nanotechnology • Nonlinear Dynamics • NUFFT (nonuniform fast Fourier transform) • Numerical Methods • Phantoms, Imaging • Plethysmography, Impedance • Quantum Theory • Radar • Remote sensing • Scattering, Radiation • Simulation and design of photonic and nono devices • Soils • Sound Localization • Subsurface Sensing • Surface Plasmon Resonance • Surface Properties • Thermography • Time Factors • Tomography • Tomography, X-Ray Computed • Topology • Tympanic Membrane • X-Rays

Recent Publications   (More Publications)

  1. Ye, L; Chen, X; Cai, G; Zhu, J; Liu, N; Liu, QH, Electrically Tunable Broadband Terahertz Absorption with Hybrid-Patterned Graphene Metasurfaces., Nanomaterials (Basel, Switzerland), vol. 8 no. 8 (July, 2018) [doi]  [abs]
  2. Li, S; Hong, R; Liu, N; Zhang, J; Chen, L; Zhang, Y; Yu, Z; Liu, QH, Three-dimensional MR reconstruction of high-contrast magnetic susceptibility by the variational born iterative method based on the magnetic field volume integral equation., Magnetic Resonance in Medicine, vol. 79 no. 2 (February, 2018), pp. 923-932 [doi]  [abs]
  3. Cai, QM; Zhao, YW; Zhang, ZP; Gu, L; Zheng, YT; Nie, ZP; Liu, QH, Wideband frequency analysis using volume surface integral equation and taylor series expansion, 2017 IEEE Antennas and Propagation Society International Symposium, Proceedings, vol. 2017-January (October, 2017), pp. 129-130, ISBN 9781538632840 [doi]  [abs]
  4. Liu, H; Long, Z; Tian, B; Han, F; Fang, G; Liu, QH, Two-Dimensional Reverse-Time Migration Applied to GPR With a 3-D-to-2-D Data Conversion, Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10 no. 10 (October, 2017), pp. 4313-4320 [doi]
  5. Liu, Y; Zhao, Z; Zhu, X; Yang, W; Nie, Z; Liu, Q-H, A Diagonal Subspace-Based Optimization Method for Reconstruction of 2-D Isotropic and Uniaxial Anisotropic Dielectric Objects, Ieee Geoscience and Remote Sensing Letters, vol. 14 no. 8 (August, 2017), pp. 1318-1322 [doi]