Lecturer | Hebei University | China
Dr. Shiyu Liu is a Lecturer and Postdoctoral Researcher at the College of Quality and Technical Supervision, Hebei University, specializing in spectral detection, artificial intelligence, and battery health monitoring. He earned his Ph.D. in Instrument Science and Technology from Yanshan University and served as a visiting Ph.D. student at the University of Huddersfield, where he worked on battery health monitoring using AI methods. His professional experience includes leading and contributing to multiple national and provincial research projects on spectral detection, lithium-ion battery state-of-health estimation, and environmental monitoring technologies. His research integrates chemometrics, machine learning, and deep learning to advance near-infrared spectroscopy for accurate detection of complex organic compounds and diesel quality management. Dr. Liu has authored numerous peer-reviewed articles in high-impact journals such as Chemometrics and Intelligent Laboratory Systems, Journal of Energy Storage, and Spectrochimica Acta Part A, and holds several patents related to NIR-based classification systems. He is skilled in big data analysis, ensemble learning, and deep learning algorithm development, with applications across energy storage systems, environmental monitoring, and process optimization. His academic contributions include presenting at international conferences, providing technical support, and publishing innovative methodologies. He has received multiple honors, including the Excellence Award at the Hebei Provincial Competition of the National Postdoctoral Innovation and Entrepreneurship Competition, a CSC Scholarship, and national and provincial “excellent graduate” titles, reflecting his significant impact on advancing intelligent measurement and monitoring technologies.
Profile: Scopus
Featured Publications
Liu, S., Fang, L., & Wang, S. (2025). Accurate determination of alcohol-based diesels using optimal chemical factors. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 326, 125140.
Liu, S., Fang, L., & Zhao, X. (2024). State-of-health estimation of lithium-ion batteries using a kernel support vector machine tuned by a new nonlinear gray wolf algorithm. Journal of Energy Storage, 102, 114052.
