Qing H. Liu, Professor of Electrical & 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, subsurface sensing, inverse problems, biomedical imaging, simulation of photonic and high-speed electronic circuits and devices. 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 the Klipsch School of Electrical and Computer Engineering, New Mexico State University where he is now an adjunct faculty. 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 is a member of Phi Kappa Phi, Tau Beta Pi, SEG, a full member of U.S. National Committee of URSI Commissions B and F, and a Senior Member of IEEE. Currently he serves as an Associate Editor for IEEE Transactions on Geoscience and Remote Sensing and for Radio Science. He also served as a Guest Editor of a special issue on Computational Issues in Remote Sensing for the IEEE Transactions on Geoscience and Remote Sensing.

Dr. Liu received the 1996 Presidential Early Career Award for Scientists and Engineers (PECASE) from the White House National Science and Technology Council (NSTC), 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 and a Fellow of the Acoustical Society of America.

Contact Info:

Office Location:	3469 CIEMAS
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:

Electromagnetics • Acoustic, Elastic, and Poroelastic Waves • Numerical Methods • Inverse Problems • Biomedical Imaging • Subsurface Sensing • Simulation and design of photonic and nono devices • NUFFT (nonuniform fast Fourier transform)

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]