Dr. Huan Wang | sun yat-sen university | China
Huan Wang is a dedicated researcher currently pursuing a Ph.D. at the School of Advanced Manufacturing, Sun Yat-sen University, building upon a strong academic foundation established during his master’s studies in aerospace engineering at the same institution. His research focuses on advancing sensor technology through innovative approaches in temperature compensation, fault diagnosis, and the reliability assessment of pressure scanners—key components in precision measurement and industrial instrumentation. Over the years, he has contributed significantly to national and industry-driven scientific efforts, including participation in one National Key R&D Program, one National Natural Science Foundation project, and three important commissioned projects involving electronic pressure scanning valves. His expertise extends to instrumentation and measurement consultancy, allowing him to bridge academic research with practical engineering applications. Dr. Wang’s scholarly output includes more than eight peer-reviewed research articles, several of which he authored as first author in highly regarded SCI-indexed journals such as Measurement, Measurement Science and Technology, Micromachines, Instrumentation Science and Technology, and Metrology and Measurement Systems. His research demonstrates a strong commitment to integrating intelligent optimization algorithms with sensor systems to improve accuracy, stability, and reliability in real-world applications. Alongside his research achievements, he is a professional member of AAAS and IEEE, showcasing his active engagement with the global scientific community. Through his interdisciplinary skills, academic rigor, and industry collaborations, Huan Wang continues to make meaningful contributions to the fields of sensor technology, advanced manufacturing, and applied measurement science. His growing body of work reflects not only technical depth but also a forward-looking approach aimed at enhancing next-generation intelligent measurement systems. With a strong commitment to innovation, integrity, and scientific excellence, he stands out as a promising researcher who significantly contributes to the advancement of engineering research and instrumentation technologies.
Featured Publications
Wang, H., Chen, X., Xia, J., Zhao, H., & Maddaiah, P. N. (2026). Newton-Raphson-based optimizer combined with LSSVM: Temperature compensation applied to small-range electronic pressure scanners. Flow Measurement and Instrumentation. https://doi.org/10.1016/j.flowmeasinst.2025.103127
Wang, H., Chen, X., Xia, J., Liu, P., & Zhao, H. (2025). A novel model fusing ALA and integrated learning: Temperature compensation for 700 kPa pressure scanners. International Journal of Thermophysics. https://doi.org/10.1007/s10765-025-03638-x
Wang, H. (2025). Hybrid mechanism and data driven approach for high-precision modeling of gas flow regulation systems of VFDR. Journal article. https://doi.org/10.1007/s40747-025-01899-5
Wang, H., Wu, T., Liu, P., Zou, Y., & Zeng, Q. (2025). Kernel extreme learning machine combined with gray wolf optimization for temperature compensation in pressure sensors. Metrology and Measurement Systems. https://doi.org/10.24425/mms.2025.152773
Wu, T., Wang, H., Huang, Z., & Maddaiah, P. N. (2025). Optimal tracking differentiator algorithm for accurate pressure scanner measurements. Instrumentation Science and Technology. https://doi.org/10.1080/10739149.2025.2556107
Liu, C., Wang, H., Zhu, H., Zhou, W., & Zhao, H. (2025). Optimized design of support points in solar panels based on thermal deformation analysis. Journal of Physics: Conference Series, 3039(1), 012004. https://doi.org/10.1088/1742-6596/3039/1/012004