Qing H. Liu, Professor of Electrical and Computer Engineering and Electrical and Computer Engineering

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:
Web Page:	http://www.ee.duke.edu/~qhliu/

Specialties:

Electromagnetics
Antennas
Medical Imaging
Photonics
Acoustics
Computational Electromagnetics

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

Keywords:

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. Li, W; Cheng, S; Wang, B; Mao, Z; Zhang, J; Zhang, Y; Liu, QH, The transport of a charged peptide through carbon nanotubes under an external electric field: a molecular dynamics simulation., Rsc Adv., vol. 11 no. 38 (July, 2021), pp. 23589-23596 [doi]  [abs]
2. Liu, J; Jiang, W; Liu, N; Liu, QH, Mixed spectral-element method for the waveguide problem with bloch periodic boundary conditions, Ieee Transactions on Electromagnetic Compatibility, vol. 61 no. 5 (October, 2019), pp. 1568-1577 [doi]  [abs]
3. Zhang, R; Sun, Q; Zhuang, M; Huang, WF; Zhan, Q; Wang, D; Liu, QH, Optimization of the Periodic PML for SEM, Ieee Transactions on Electromagnetic Compatibility, vol. 61 no. 5 (October, 2019), pp. 1578-1585, Institute of Electrical and Electronics Engineers (IEEE) [doi]  [abs]
4. Chen, Y; Zhu, J; Xie, Y; Feng, N; Liu, QH, Smart inverse design of graphene-based photonic metamaterials by an adaptive artificial neural network., Nanoscale, vol. 11 no. 19 (May, 2019), pp. 9749-9755 [doi]  [abs]
5. Lan, T; Liu, N; Han, F; Liu, QH, Joint Petrophysical and Structural Inversion of Electromagnetic and Seismic Data Based on Volume Integral Equation Method, Ieee Transactions on Geoscience and Remote Sensing, vol. 57 no. 4 (April, 2019), pp. 2075-2086 [doi]  [abs]