Dr. Jingjun Lin is a Lecturer at Changchun University of Technology, specializing in laser-induced breakdown spectroscopy (LIBS) and advanced spectral analysis. He has made significant contributions to the field of spectroscopy, materials science, and machine learning-based classification techniques. As an active researcher, he has published extensively in high-impact journals, advancing applications in metal analysis, additive manufacturing, and biomedical diagnostics. With experience as a visiting scholar at Tokushima University, Japan, Dr. Lin continuously explores innovative methodologies to improve spectral detection accuracy. His interdisciplinary expertise bridges spectroscopy, physics, and artificial intelligence. ✨🔬📊
Profile
Education 🎓
- 🏛 Ph.D. Changchun University of Technology (2015-2018), with research at Huazhong University of Science and Technology (2018)
- 🎓 Master’s Degree Changchun University of Technology (2012-2015)
- 🎓 Bachelor’s Degree Changchun University of Technology (2008-2012)
Dr. Lin’s academic journey reflects a deep commitment to the study of spectroscopy, laser-induced breakdown analysis, and materials science. His research focuses on enhancing spectral analysis techniques and applying machine learning models to spectroscopy data. His Ph.D. research involved novel LIBS applications for material classification and defect detection, further refined during his studies at Huazhong University of Science and Technology. 📚🔍🎯
Experience 👨🏫
- Visiting Scholar Tokushima University, Japan (2023-2024) 🌍
- Lecturer Changchun University of Technology (2019-Present) 🏛
Dr. Lin has been an academic professional dedicated to teaching and research in laser-induced breakdown spectroscopy (LIBS), spectroscopic data fusion, and materials analysis. His tenure as a lecturer at Changchun University of Technology involves mentoring students and leading research projects. As a visiting scholar at Tokushima University, he gained international exposure, refining his expertise in advanced laser spectroscopy and its industrial applications. 🧑🔬📖✨
Awards & Recognitions 🏅
Dr. Lin has received multiple research grants and recognition for his contributions to spectroscopy and analytical chemistry. His papers have been published in high-impact journals such as Analytical Methods, Journal of Analytical Atomic Spectrometry, and Talanta. His innovative work on LIBS and Raman spectroscopy fusion for lung cancer diagnosis has been acknowledged for its potential clinical applications. 🏅📜🔬
Research Interests 🔬
Dr. Lin specializes in laser-induced breakdown spectroscopy (LIBS), machine learning-enhanced spectral analysis, and multi-modal spectroscopy fusion. His work includes:
- Metal additive manufacturing defect detection using LIBS 🏭
- Biomedical applications, including lung cancer classification with spectroscopy 🏥
- Data fusion of LIBS and Raman spectroscopy for improved accuracy 🤖📊
- Spectral enhancement techniques for more precise material identification 💡
His interdisciplinary research aims to push the boundaries of LIBS applications in industry, healthcare, and environmental monitoring. 🚀🔍
Publications
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In-situ dynamic correction of progressive ablation fluctuations in laser-induced breakdown spectroscopy (LIBS) using Raman spectroscopy and deep learning
Y., Li, Yao, L., Ding, Leiyi, Y., Wang, Yinghao, … J., Lin, Jingjun, M., Cui, Minchao
Talanta, 2025
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Research on spectroscopy screening methods based on optical computation using laser-induced breakdown spectroscopy
X., Lin, Xiaomei, X., Zhen, Xin, P., Dai, Panyang, … C., Che, Changjin, J., Lin, Jingjun
Journal of analytical atomic spectrometry, 2025