Lecturer and Postdoctoral researcher at Hebei University, China
Shiyu Liu is a dedicated researcher and lecturer at the College of Quality and Technical Supervision, Hebei University, with extensive experience in spectral detection and battery health monitoring using artificial intelligence methods. He holds a Ph.D. in Engineering from Yanshan University and has furthered his expertise as a visiting PhD student at the University of Huddersfield. Liu has contributed significantly to his field, publishing numerous articles in reputable journals and participating in various national research projects. His strong technical skills in big data analysis and machine learning complement his innovative research endeavors, earning him several prestigious awards and recognition as an excellent graduate. Liu’s commitment to advancing technology and addressing complex issues positions him as a leading figure in his areas of study.
Publication profile
Scopus Profile
Education Background
Shiyu Liu has an extensive educational background in engineering, with a focus on Instrument Science and Technology. He is currently pursuing a Ph.D. at Yanshan University, where he has been enrolled since September 2018, under the supervision of Shutao Wang. His research during this period has primarily centered on spectral detection and analysis using artificial intelligence methods. Liu also gained international experience as a visiting Ph.D. student at the University of Huddersfield from October 2022 to October 2023, where he focused on health monitoring of lithium-ion batteries. This combination of rigorous academic training and hands-on research experience positions him well within his field.
Research Experience
Shiyu Liu has over a decade of research experience, currently serving as a lecturer and postdoctoral researcher at the College of Quality and Technical Supervision at Hebei University since April 2014. He holds a Ph.D. in Engineering from Yanshan University, specializing in Instrument Science and Technology. His research primarily focuses on the application of artificial intelligence in spectral detection and battery health monitoring. Liu’s work includes capacity prediction and health monitoring of lithium-ion batteries, employing data-driven methods and electrochemical impedance spectroscopy. He has also researched spectral detection algorithms based on near-infrared spectroscopy, addressing challenges such as weak absorption intensity and high noise interference. His involvement in various national projects, coupled with an impressive publication record in reputable journals, highlights his significant contributions to advancing technology in his fields of expertise. Additionally, his experience as a visiting PhD student at the University of Huddersfield further broadens his research perspective and collaborative opportunities.
Teaching and Mentoring Experience
Shiyu Liu has accumulated substantial teaching and mentoring experience as a lecturer at the College of Quality and Technical Supervision, Hebei University, since April 2014. In this role, he has effectively delivered course content on Instrument Science and Technology, fostering a deep understanding of complex subjects among his students. Liu is dedicated to creating an engaging learning environment, employing innovative teaching methods to cater to diverse learning styles. Additionally, he has actively mentored undergraduate and graduate students, guiding them in their research projects and fostering their academic development. His commitment to student success is evident in the positive feedback he receives, reflecting his ability to inspire and motivate learners. Liu’s experience in teaching and mentoring has not only enhanced his pedagogical skills but also contributed to the academic growth of his students, preparing them for future challenges in the field.
Work Experience
Shiyu Liu has accumulated extensive work experience since April 2014, serving as a lecturer and postdoctoral researcher at the College of Quality and Technical Supervision at Hebei University. His academic journey includes pursuing a Ph.D. in Instrument Science and Technology at Yanshan University from September 2018 to January 2024, where he focused on spectral detection and analysis using artificial intelligence methods. Additionally, Liu gained valuable international exposure as a visiting PhD student at the University of Huddersfield from October 2022 to October 2023, specializing in battery health monitoring through artificial intelligence. His roles have enabled him to engage in various research projects, contributing to advancements in environmental pollution
Awards, Honours & Certificates
Shiyu Liu has received numerous awards and honors that reflect his academic excellence and research contributions. Notably, he was awarded the CSC Scholarship in July 2022 for his participation as a visiting PhD student. He has also been recognized as an “excellent graduate” of Hebei Province and Yanshan University in 2021, showcasing his outstanding academic performance. Additionally, Liu received a national scholarship for postgraduates in December 2020, along with several accolades in competitions, including a second prize in the third mathematical modeling competition for postgraduates in Hebei and a first prize in the national university students’ electrical math modeling competition organized by the Chinese Society for Electrical Engineering. His commitment to academic and extracurricular excellence is further evidenced by his recognition as a “three good student” at both the university and provincial levels. Overall, these awards and honors underscore Liu’s dedication, talent, and contributions to his field.
Publication Top Notes
- State of Health Estimation of Lithium-Ion Batteries via Electrochemical Impedance Spectroscopy and Machine Learning
- Authors: Liu, S., Wang, S., Hu, C., Zhao, X., Gu, F.
- Year: 2024
- Citations: 0
- Series fusion of scatter correction techniques coupled with deep convolution neural network as a promising approach for NIR modeling
- Authors: Liu, S., Wang, S., Hu, C., Kong, D., Yuan, Y.
- Year: 2023
- Citations: 12
- A MLP-Based Transfer Learning Model Using EIS Health Features for State of Health Estimation of Lithium-Ion Battery
- Authors: Zhao, X., Wang, Z., Liu, S., Gu, F., Ball, A.
- Year: 2023
- Citations: 0
- Markov Transform Field Coupled with CNN Image Analysis Technology in NIR Detection of Alcohols Diesel
- Authors: Liu, S., Wang, S., Hu, C., Kong, D.
- Year: 2023
- Citations: 0
- Rapid and accurate determination of diesel multiple properties through NIR data analysis assisted by machine learning
- Authors: Liu, S., Wang, S., Hu, C., Kong, D., Wang, J.
- Year: 2022
- Citations: 11
Conclusion
Shiyu Liu is an exemplary candidate for the Best Researcher Award, with a strong foundation in research, impressive academic credentials, and a significant contribution to his field through publications and projects. His innovative work in health monitoring and spectral analysis, combined with his technical skills and recognition within the academic community, make him a standout researcher. By addressing areas for improvement, particularly in interdisciplinary collaboration and public engagement, Liu can enhance his research impact and continue to be a leading figure in his field.