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Kehai Liu, Ph.D.
Kehai Liu, Ph.D.
Physical Sciences

Dr. Kehai Liu received his Ph.D. degree from Dalian University of Technology in 2016. He worked as a postdoctoral researcher at the University of Nebraska-Lincoln, USA during 2017-2019, as an associate researcher/researcher at Songshan Lake Materials Laboratory in Guangdong Province during 2019-2024, and served as the Deputy Director of ELEM Joint Engineering Center during 2021-2024. Since 2025, he joined the Tsientang Institute for Advanced Study as Associate Professor. His research area focuses on light element materials and devices.

He has led one sub-project of the Guangdong Major Project of Basic and Applied Basic Research, one project of National Natural Science Foundation of China Youth Science Fund, one project of China Postdoctoral Science Fund First Class Grant, and one project of CAST-BISEE Innovation Fund of Beijing Satellite Institute of Environmental Engineering. His research achievements have been recognized with a Second Prize of Liaoning Provincial Natural Science Academic Achievement Award and a First Prize of Dalian Municipal Technical Invention Award. He has published 33 papers in Nature Photonics and other academic journals, and hold 70 granted patents out of 114 applications. Furthermore, he has co-founded two high-tech enterprises, successfully completing Angel/Pre-A round financing with a valuation nearing RMB 400 million.


  • Research Areas
    Light-element materials and devices.
    Smart materials and structures.
  • Education
    2010-2016
    Ph.D. in Aerospace Mechanics and Engineering, School of Aerospace Engineering, Dalian University of Technology
    2005-2009
    B.S. in Electronic Information Science and Technology, School of Electronic Engineering, Tianjin University of Technology
  • Work Experience
    2025-Present
    Associate Professor, Laboratory of Quantum Materials, Tsientang Institute for Advanced Study
    2023-2025
    Researcher, Light-Element Materials and Advanced Devices Team, Songshan Lake Materials Laboratory
    2019-2023
    Associate Researcher, Light-Element Materials and Advanced Devices Team, Songshan Lake Materials Laboratory
    2017-2019
    Postdoctoral Researcher, Department of Mechanical and Materials Engineering, University of Nebraska-Lincoln, USA
    2016-2019
    Postdoctoral Researcher/Assistant Researcher, School of Civil Engineering, Dalian University of Technology
  • Awards and Honors
    2024
    First Prize, Dalian Technological Invention Award (3rd place among candidates)
    2023
    Liaoning Provincial Natural Science Academic Achievement Award (4th place among candidates)
  • Academic Achievements
    Overview
    Published 33 SCI papers
    Google Scholar
    https://scholar.google.com.hk/citations?user=Jn7LrVUAAAAJ&hl=zh-CN&oi=ao
    1. Zhu X, Tian E, Li Z, Xie D, Shao Q, Sun Z, Li R, Wang E, Liu K*, et al. Graphene oxide-carbon nanotube hybrid membranes for high-pressure and high-flux nanofiltration[J]. Advanced Functional Materials, Accepted: 2503432.
    2. Tian E, Liu J, Gao Y, Mo J, Zhang S, Bai X, Liu K*, et al. Artificial polydopamine interface for high-performance ambient particulate matter removal at large velocity[J]. Carbon Neutralization, 2023, 2(2): 245-257.
    3. Zhang J, Wu Z, Yang Z, Gao C, Liu K*, et al. Multimode guided waves–based structural defect localization longitudinally and cross-sectionally in T-bars[J]. Journal of Aerospace Engineering, 2020, 33(4): 04020017.
    4. Zhang J, Wu Z, Yang Z, Liu K*, et al. Excitation of guided wave modes in arbitrary cross-section structures by applied surface tractions[J]. Smart Materials and Structures, 2020, 29(6): 065010.
    5. Yan Q, Liu K*, Zhou Q, et al. SurfingAttack: interactive hidden attack on voice assistants using ultrasonic guided waves[C]//Network and Distributed Systems Security (NDSS) Symposium. 2020.
    6. Yang Z, Wu Z, Zhang J, Liu K*, et al. Acoustoelastic guided wave propagation in axial stressed arbitrary cross-section[J]. Smart Materials and Structures, 2019, 28(4): 045013.
    7. Zheng Y, Liu K, Wu Z, et al. Lamb waves and electro-mechanical impedance based damage detection using a mobile PZT transducer set[J]. Ultrasonics, 2019, 92: 13-20.
    8. Liu K, Ma S, Wu Z, et al. A novel probability-based diagnostic imaging with weight compensation for damage localization using guided waves[J]. Structural Health Monitoring-an International Journal, 2016, 15(2): 162-173.
    9. Liu K, Wu Z, Jiang Y, et al. Guided waves based diagnostic imaging of circumferential cracks in small-diameter pipe[J]. Ultrasonics, 2016, 65: 34-42.
    10. Wu Z, Liu K, Wang Y, et al. Validation and evaluation of damage identification using probability-based diagnostic imaging on a stiffened composite panel[J]. Journal of Intelligent Material Systems and Structures, 2015, 26(16): 2181-2195.
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