Mr. Jingmin Luan | Medical Imaging Process | Best Researcher Award

Lecturer at Northeastern University, China

Dr. Jingmin Luan is a dedicated academic and researcher currently serving as a Lecturer in the Department of Electronic Information Engineering at Northeastern University at Qinhuangdao. With a solid foundation in engineering and a specialized focus on biomedical signal processing and deep learning, he has been contributing meaningfully to interdisciplinary research. Dr. Luan’s work bridges the gap between traditional Chinese medical theories and modern computational techniques, offering innovative perspectives and methodologies in biomedical analysis and signal interpretation. His academic career reflects a deep engagement with both theoretical frameworks and practical applications, evidenced by numerous scholarly contributions to international journals and conferences.

Profile

Scopus

ORCID

Education

Dr. Luan earned his Doctor of Engineering degree with a specialization in biomedical signal processing and information systems. His academic journey was grounded in a strong interdisciplinary curriculum that integrated engineering principles with medical applications, which later served as a robust foundation for his research into decision-making models and syndrome identification in traditional Chinese medicine. His doctoral training equipped him with a refined understanding of mathematical modeling, machine learning algorithms, and data analysis, tools that he has consistently applied in his research and teaching roles.

Experience

As a faculty member at Northeastern University at Qinhuangdao, Dr. Luan has developed a portfolio that encompasses teaching, research, and academic leadership. He has successfully led funded projects from both national and provincial foundations. Notably, he served as the principal investigator on a National Natural Science Foundation of China project focusing on three-branch decision problems in traditional Chinese medicine from 2017 to 2019. He also directed a project under the Natural Science Foundation of Hebei Province from 2018 to 2020, which examined compatibility identification using mathematical theories. These experiences have allowed him to supervise research teams, publish extensively, and contribute to the academic development of his students and peers.

Research Interest

Dr. Luan’s research interests lie primarily in biomedical signal processing and deep learning, with a distinctive focus on integrating traditional Chinese medicine (TCM) diagnostic models with modern computational approaches. His work emphasizes the use of three-way decision theories, partial-ordered attribute frameworks, and image processing techniques to interpret complex health data. He is particularly interested in how advanced imaging technologies like Optical Coherence Tomography (OCT) can be enhanced using signal processing methods to provide better diagnostic and therapeutic outcomes. His interdisciplinary research serves as a bridge between ancient diagnostic wisdom and 21st-century computational science.

Award

Dr. Luan has been recognized for his academic leadership through various competitive research grants. He was awarded the National Natural Science Foundation of China grant for his study on decision-making models in TCM, a testament to the innovation and scientific merit of his work. Additionally, his leadership in the Hebei Province Natural Science Foundation project reflects regional recognition of his contributions to computational methods in medicine. These prestigious grants underscore his impact and relevance in the research community, particularly in developing new approaches to medical diagnostics using artificial intelligence and mathematical theory.

Publication

Dr. Luan’s research findings have been disseminated through high-quality peer-reviewed journals.

1. Optical Attenuation Coefficient Based Optical Coherence Tomography Angiography, Optics Communications, 2025.

2. Compact Photoacoustic Endoscopy by Measuring Initial Photoacoustic Pressure Using Phase-Shift Interferometry, Photoacoustics, 2025.

3. Non-contact All-optic OCT–PAM Imaging with Shared Detection Light, Applied Optics, 2025.

4. The Stress Phase Angle Measurement Using Spectral Domain Optical Coherence Tomography, Sensors, 2023.

5. Spectral Interference Contrast Based Non-contact Photoacoustic Microscopy Realized by SDOCT, Optics Letters, 2022.

6. Evaluation of Mannitol Intervention Effects on Ischemic Cerebral Edema in Mice Using Swept Source Optical Coherence Tomography, Photonics, 2022.

7. Optimized Depth-resolved Estimation to Measure Optical Attenuation Coefficients from Optical Coherence Tomography and Its Application in Cerebral Damage Determination, Journal of Biomedical Optics, 2019.

Conclusion

Dr. Jingmin Luan exemplifies a modern researcher whose work transcends disciplinary boundaries, merging engineering, medicine, and artificial intelligence. His contributions to biomedical signal processing and deep learning, particularly within the context of traditional Chinese medicine, demonstrate both academic rigor and practical relevance. With a robust track record of funded research, high-impact publications, and academic mentorship, Dr. Luan continues to shape the future of interdisciplinary health sciences. His career reflects a unique blend of traditional insight and cutting-edge technology, making him a distinguished candidate for any academic recognition or award.