76 / 100 SEO Score

Assoc. Prof. Dr. yuanpeng li | Hyperspectral Imaging | Best Researcher Award 

Assoc. Prof. Dr. yuanpeng li, Guangxi Normal University, China

Assoc. Prof. Dr. Yuanpeng Li is a dedicated researcher at the School of Physical Science and Technology, Guangxi Normal University, China. With a Ph.D. in Biomedical Engineering from Jinan University, his work focuses on biomedical engineering, optical spectroscopy, and machine learning. He has led numerous national and provincial research projects, producing over 20 peer-reviewed publications in non-invasive diagnostics, food quality assessment, and disease detection. His innovative research combines advanced spectroscopy techniques with artificial intelligence to drive breakthroughs in healthcare and food science.

Profile

Orcid

🎓 Early Academic Pursuits

Dr. Yuanpeng Li’s academic journey began with a strong foundation in physics, earning his Bachelor of Science in Physics (2009–2013) from Guangxi Normal University in Guilin, China. His interest in the physical sciences quickly evolved into a passion for optics and biomedical applications, leading him to pursue a Master’s degree in Optics (2013–2016) at Jinan University in Guangzhou. During his master’s program, he began delving into advanced optical techniques and their application in biological systems.

His academic curiosity and commitment to research excellence culminated in a Ph.D. in Biomedical Engineering (2016–2019), also from Jinan University. There, he developed a strong interdisciplinary foundation that blended physics, engineering, biology, and computer science, paving the way for his future innovations in medical diagnostics and food quality assessment using optical spectroscopy and machine learning.

👨‍🏫 Professional Endeavors

Since 2019, Dr. Li has been serving as an Associate Professor at the School of Physical Science and Technology, Guangxi Normal University. In this role, he has not only conducted cutting-edge research but also mentored graduate students and fostered interdisciplinary collaboration across departments.

Dr. Li has successfully led and participated in several national and provincial-level research projects, many of which focus on non-invasive detection technologies and real-world applications of machine learning in biomedical fields. His academic leadership is evident in his role as both a researcher and an educator, contributing significantly to both the knowledge base and the training of the next generation of scientists.

🔬 Contributions and Research Focus

Dr. Li’s research lies at the intersection of biomedical engineering, spectroscopy, and artificial intelligence. His primary focus is the development of non-invasive, rapid, and accurate diagnostic tools using optical technologies like Raman spectroscopy, near-infrared (NIR) spectroscopy, and hyperspectral imaging. He has demonstrated remarkable success in applying these technologies to food quality assessment, disease detection, and environmental monitoring.

Some of his notable research contributions include:

  • Rapid analysis of flaxseed oil quality using Raman spectroscopy, ensuring food safety and authenticity.

  • 🦠 Identification of Nosema bombycis spores at the single-cell level with deep learning, advancing agricultural biosecurity.

  • 🍊 Non-destructive detection of citrus granulation, improving post-harvest fruit quality management.

  • 🛢️ Oil authentication through innovative “oil microscopy” methods.

  • 🦴 Early diagnosis of osteoarthritis using aquaphotomics and NIR, offering new hope for non-invasive medical diagnostics.

To date, he has published over 20 peer-reviewed journal articles, many in high-impact international journals such as Analytical Chemistry, Journal of Food Science, and Spectrochimica Acta Part A.

🏅 Accolades and Recognition

Dr. Yuanpeng Li’s pioneering work has been supported by multiple national and provincial grants, a testament to the scientific value and societal relevance of his research. His role as a co-communicating author in many top-tier publications showcases his leadership in collaborative research.

His achievements have earned him recognition within both academic and industrial communities, especially in the realms of biophotonics, machine learning in diagnostics, and food quality control. Through conferences, invited talks, and mentorship, he continues to build a strong academic presence in China and beyond.

🌍 Impact and Influence

Dr. Li’s contributions are making a tangible difference across multiple domains:

  • In healthcare, his research is improving the early detection of diseases, reducing the need for invasive procedures.

  • In the agricultural and food industries, his work enhances food safety, authenticity, and quality monitoring, using fast and portable techniques.

  • In academic research, his integration of machine learning with spectroscopy serves as a model for modern interdisciplinary innovation.

His multidisciplinary approach is influencing how future scientists think about diagnostics—moving from conventional laboratory-based techniques to portable, AI-driven, field-deployable solutions.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Yuanpeng Li is poised to make even more significant contributions to smart diagnostics and precision monitoring systems. His vision includes the development of AI-integrated handheld spectroscopic devices for use in clinics, farms, and food supply chains—ensuring real-time decision-making and broader access to quality control tools.

As an academic, he continues to mentor young researchers, instilling in them the values of scientific rigor, interdisciplinary thinking, and societal responsibility. His legacy is not only in the publications and technologies he produces but also in the communities of researchers he inspires and the lives his innovations will impact.

📚 Publication Top Notes

ContributorsRui Liu; Shan Tu; Yuanpeng Li; Lingli Liu; Ping Liu; Mengjiao Xue; Meiyuan Chen; Jian Tang; Tinghui Li; Junhui Hu
Journal: Food Composition and Analysis
Year: 2025
ContributorsRui Liu; Yuanpeng Li; Tinghui Li; Ping Liu; Wenchang Huang; Lingli Liu; Rui Zeng; Yisheng Hua; Jian Tang; Junhui Hu
Journal: Food Science
Year: 2024
Contributors: Wenchang Huang; Lingli Liu; Yuancui Su; Chuanmei Yang; Chengsen Tan; Yuanpeng Li; Shan Tu; Siqi Zhu; Yongmei Wang; Lihu Wang et al.
Journal: Food Analytical Methods
Year: 2023
yuanpeng li | Hyperspectral Imaging | Best Researcher Award | 13378

You May Also Like