Assistant Professor at South-Central Minzu University, China
Dr. Zhushanying Zhang is an Assistant Professor at South-Central MinZu University. With a Ph.D. in Mechanical and Electronic Engineering from Huazhong University of Science and Technology, she specializes in infrared spectroscopy detection, machine learning, optoelectronic detection, and fiber optic sensing. Dr. Zhang has led multiple research projects funded by the National Natural Science Foundation of China and has published several high-impact academic papers. Her dedication to advancing technology for non-invasive health diagnostics has contributed significantly to the fields of glucose detection and early tumor screening.
Profile
Scopus Profile
Strengths for the Award
- Strong Academic Background:
- Holds a Ph.D. in Mechanical and Electronic Engineering from a prestigious university.
- Comprehensive understanding of infrared spectroscopy, machine learning, and optoelectronic detection.
- Significant Research Contributions:
- Led multiple funded projects focused on innovative applications of spectroscopy for medical diagnostics, demonstrating leadership and expertise.
- Authored over ten high-quality papers in reputable journals, indicating a strong publication record and contribution to scientific knowledge.
- Patent Portfolio:
- Holds three patents related to drug infusion devices and detection systems, showcasing innovation and the practical application of research findings.
- Diverse Research Focus:
- Engaged in various fields, including non-invasive medical testing and machine learning applications, demonstrating versatility and relevance to current scientific challenges.
- Collaborative Research Efforts:
- Actively participated in collaborative projects, enhancing the scope and impact of research through interdisciplinary approaches.
- Professional Memberships:
- Membership in relevant professional organizations, such as the Chinese Biomedical Engineering Society, adds credibility and demonstrates commitment to the field.
Education 🎓
Dr. Zhang completed her doctoral studies in Mechanical and Electronic Engineering at Huazhong University of Science and Technology. Her educational background has laid a solid foundation for her interdisciplinary research, blending mechanical sciences, electronic engineering, and biomedical sensing technologies. Through her studies, she has developed expertise in spectroscopic methods and applied machine learning to medical sensing applications.
Experience 💼
With years of experience in the fields of infrared spectroscopy and fiber optic sensing, Dr. Zhang has been deeply involved in both academic and industry-related projects. She has successfully chaired several key research initiatives at South-Central MinZu University, focusing on non-invasive health diagnostics. These projects include the development of methods for glucose detection using mid-infrared spectroscopy, as well as the application of spectroscopy for the analysis of human biological samples like blood and saliva.
Research Interests 🔬
Dr. Zhang’s primary research interests lie in the intersection of infrared spectrum analysis, fiber optic sensing, and medical diagnostics. Her work focuses on non-invasive techniques for monitoring human health, especially for diseases such as diabetes and early cancer detection. By integrating machine learning algorithms with spectroscopic data, Dr. Zhang aims to improve the accuracy of medical sensing devices and develop innovative solutions for healthcare challenges.
Awards 🏆
Dr. Zhang has been recognized for her contributions to science and innovation, especially in the field of medical diagnostics. She has led several research projects funded by prominent institutions like the National Natural Science Foundation of China, and her work has been acknowledged through multiple invention patents. These patents highlight her innovative approach to developing non-invasive diagnostic devices, which are now being considered for commercial and clinical applications.
Publications 📚
- Yin, J., Wang, G.W., Zhang, Z.S.Y., et al. (2024). Advances in Fourier Infrared Spectroscopy for Noninvasive Diagnosis of Diabetes Mellitus: Analysis and Prospects. Microchemical Journal, 207, 111764. doi:10.1016/j.microc.2024.111764. Cited by: 25 articles.
- Zhang, Z.S.Y., Zhang, R.J., Gu, H.W., et al. (2024). Research on the Twin Check Abnormal Sample Detection Method of Mid-Infrared Spectroscopy. Spectroscopy and Spectral Analysis, 44(6), 1546-1552. doi:10.3964/j.issn.1000-0593(2024)06-1546-07. Cited by: 10 articles.
- Yue, Y.S., Zhang, Z.S.Y., et al. (2023). Influencing Factors of Mid-Infrared Spectrum Blood Glucose Detection. Laser & Optoelectronics Progress, 62(24), 300-306. Cited by: 12 articles.
- Zhang, Z.S.Y., Zhu, S.C., et al. (2023). Quantitative Analysis of Hemoglobin Based on SiPLS-BP Model. Chinese Journal of Lasers, 50(21), 174-180. Cited by: 5 articles.
- Lv, Y.L., Zhang, Z.S.Y., et al. (2023). Study on the Influence of Four Interferents on Blood Glucose Detection by Mid-Infrared Spectrum. Chemical Reagents, 45(10), 14-20. doi:10.13822/j.cnki.hxsj.2023.0517. Cited by: 8 articles.
- Zhang, Z.S.Y., et al. (2023). Flexible Stacked Partial Least Squares for Mid-Infrared Spectroscopy Glucose Detection. Spectroscopy, 38, 29-36. Cited by: 6 articles.
- Sa, J.M., Zhang, Z.S.Y., et al. (2023). Mid-infrared Spectroscopy with an Effective Variable Selection Method for Glucose Detection. Chemometrics and Intelligent Laboratory Systems, 233. doi:10.1016/j.chemolab.2022.104731. Cited by: 14 articles.
- Zhang, Z.S.Y., et al. (2023). Quantitative Analysis of Hemoglobin Based on SiPLS-SPA Wavelength Optimization. Spectroscopy and Spectral Analysis, 43(1), 50-56. doi:10.3964/j.issn.1000-0593(2023)01-0050-07. Cited by: 4 articles.
- Zhang, Z.S.Y., et al. (2021). Thermal Performance of LED Filament in Flip-Chip Packaging for Different Correlated Color Temperature. Applied Sciences-Basel, 11(19). doi:10.3390/app11198844. Cited by: 18 articles.
- Lan, W.W., Zhang, Z.S.Y., et al. (2014). Signal Processing System Based on LabVIEW of Optical Fiber Oxygen Sensor. Instrument Technique and Sensor, (05), 1-3+10. Cited by: 9 articles.
Conclusion ✍️
Dr. Zhushanying Zhang has made significant strides in advancing non-invasive diagnostic technology through her interdisciplinary research in spectroscopy and medical sensing. With numerous high-impact publications, prestigious research grants, and innovative patents, Dr. Zhang continues to shape the future of health diagnostics. Her ongoing research and contributions have the potential to revolutionize how diseases like diabetes are diagnosed and monitored, making her a strong candidate for the Best Researcher Award.