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Qing Huo Liu

Liu

Professor of 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.

Appointments and Affiliations

    Contact Information

    Education

    • Ph.D. University of Illinois, Urbana-Champaign, 1989
    • M.S. Xiamen University (China), 1986
    • B.S. Xiamen University (China), 1983

    Research Interests

    Computational electromagnetics and acoustics; inverse problems, and their application in geophysics, nanophotonics, and biomedical imaging

    Awards, Honors, and Distinctions

    • Compuational Electromagnetics Award. Applied Computational Electromagnetics Society. 2018
    • Harrington-Mittra Compuational Electromagnetics Award. IEEE Antennas and Propagation Society. 2018
    • Technical Achievement Award. Applied Computational Electromagnetics Society. 2017
    • Fellow. Optical Society of America. 2016
    • Distinguished Lecturer. IEEE Antennas and Propagation Society. 2014
    • Fellow. Electromagnetics Academy. 2005
    • Fellow. Institute for Electrical and Electronics Engineers. 2005
    • Fellow. The Acoustical Society of America. 2005
    • CAREER. National Science Foundation. 1997
    • CAREER Research Award. The U.S. Environmental Protection Agency. 1996
    • Presidential Early Career Award for Scientists and Engineers (PECASE). The White House. 1996

    Courses Taught

    • ECE 571: Electromagnetic Theory
    • ECE 891: Internship
    • ECE 899: Special Readings in Electrical Engineering
    • K_CMPSCI 301: Algorithms and Databases
    • K_PHYS 122: General Physics II: Electricity, Magnetism and Light

    In the News

    Representative Publications

    • 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 (2021), pp. 23589-23596 [10.1039/d0ra09184g] [abs].
    • 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 (2019), pp. 1578-1585 [10.1109/TEMC.2018.2866441] [abs].
    • 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 (2019), pp. 1568-1577 [10.1109/TEMC.2018.2866023] [abs].
    • 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 (2019), pp. 9749-9755 [10.1039/c9nr01315f] [abs].
    • Zhuang, M; Zhan, Q; Zhou, J; Liu, N; Liu, QH, Incorporating Full Attenuation Mechanisms of Poroelastic Media for Realistic Subsurface Sensing, Ieee Transactions on Geoscience and Remote Sensing, vol 57 no. 4 (2019), pp. 2087-2096 [10.1109/TGRS.2018.2871375] [abs].