Luning Li | Quantum Computing | Best Researcher Award

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Assoc. Prof. Dr. Luning Li | Quantum Computing | Best Researcher Award

Associate Professor, Master’s Supervisor at Shanghai Institute of Technical Physics, Chinese Academy of Sciences, China

Dr. Luning Li 🎓, an Associate Professor and Master’s Supervisor at the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, is a distinguished researcher in laser spectroscopy, laser plasma physics, and AI-driven chemometrics 🔬🤖. With dual degrees from SJTU and a PhD in Physics, his expertise bridges theoretical innovation and applied science. Dr. Li leads cutting-edge research in Laser-Induced Breakdown Spectroscopy (LIBS) for Mars exploration 🚀🔍 and has pioneered deep learning frameworks for spectral data analysis. He has published 17 SCI papers, secured 8 national patents (3 granted) 📄🔧, and led 9 major research projects including national talent programs 🏅. As a core member of China’s Mars mission team and a reviewer for NSFC, Dr. Li exemplifies excellence in advancing science and space research 🌌🇨🇳.

Professional Profile

Education 🎓

Dr. Luning Li holds a strong educational foundation in physics and engineering. He earned a dual bachelor’s degree in Measurement and Control Technology and Instrumentation and in Computer Science from Shanghai Jiao Tong University 🏛️. He went on to complete his Ph.D. in Physics at the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, where he developed deep expertise in laser spectroscopy and photonics 🔬. His multidisciplinary training integrates precision instrumentation, computational methods, and physical sciences, enabling him to approach complex scientific challenges with a holistic and data-driven perspective 📚💡. Dr. Li’s academic path reflects both intellectual rigor and a commitment to cutting-edge research at the intersection of physics and technology, laying the groundwork for his impactful contributions to science and space exploration 🚀.

Professional Experience 🔬🤖

Dr. Luning Li is currently serving as an Associate Professor and Master’s Supervisor at the Shanghai Institute of Technical Physics, Chinese Academy of Sciences 🏢. His professional career is distinguished by leadership in national and international research initiatives, particularly in laser-induced breakdown spectroscopy (LIBS) for Mars exploration missions 🔭🪐. He has overseen numerous research projects, including nine competitive grants at the national level, and plays a core role in China’s Mars mission team 🚀. Dr. Li is also an active reviewer for the National Natural Science Foundation of China (NSFC), where his insights contribute to national research funding decisions. His cross-disciplinary collaborations and mentorship of graduate students demonstrate his dedication to advancing scientific discovery, fostering innovation, and cultivating the next generation of physicists and engineers 👨‍🏫🔧.

Research Interest 🔬

Dr. Luning Li’s research interests lie at the dynamic intersection of laser spectroscopy, plasma physics, and artificial intelligence 📡⚡🤖. He is particularly known for his work in Laser-Induced Breakdown Spectroscopy (LIBS), which he applies to planetary exploration, including Mars surface analysis 🚀🧪. His team has pioneered advanced deep learning techniques and AI-driven chemometric models to enhance spectral data interpretation and real-time mineral identification 📊🔍. Dr. Li also explores the physics of laser plasmas, contributing to a deeper understanding of material interactions at high energies. His integrative approach combines fundamental research with practical applications in space science, environmental monitoring, and industrial analysis 🌍💼. Through cutting-edge innovation and scientific precision, he continues to push the boundaries of analytical instrumentation and intelligent sensing technologies.

Awards and Honors 🏅

Dr. Luning Li has received multiple accolades recognizing his exceptional contributions to science and technology 🏆. He has been awarded funding and recognition through prestigious national talent programs, affirming his status as a leading researcher in China’s scientific community 🇨🇳. His groundbreaking work has resulted in 17 publications in high-impact SCI journals and 8 national patents, of which 3 have been granted 📄🔧. As a core member of China’s Mars exploration mission, Dr. Li was honored for his strategic role in developing LIBS systems for in-situ planetary analysis 🚀🔬. Additionally, his service as a reviewer for the NSFC reflects his respected judgment in scientific evaluation. These honors underscore his innovative spirit, technical excellence, and influential leadership in both academic and applied research domains.

Conclusion 🌟

Dr. Luning Li stands as a prominent figure in the fields of laser spectroscopy, space science, and AI-powered analytics 📈🌌. His academic training, professional accomplishments, and impactful research demonstrate a rare combination of scientific depth and innovative vision. As an Associate Professor at the Chinese Academy of Sciences, he leads forward-thinking projects that shape the future of planetary exploration and intelligent diagnostics 🚀🤖. His contributions—spanning over 17 scientific publications, numerous patents, and leadership in national programs—highlight his influence in both academia and applied science 🧠🔧. Dr. Li’s commitment to mentorship and collaboration ensures that his work will continue to inspire future generations. With a career rooted in excellence and driven by discovery, Dr. Li is truly advancing the frontiers of physics and engineering in the modern scientific era 🌍📡.

Publications Top Notes

• A review of artificial neural network based chemometrics applied in laser-induced breakdown spectroscopy analysis
Authors: LN Li, XF Liu, F Yang, WM Xu, JY Wang, R Shu
Year: 2021
Citations: 145
Source: Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 180, 106183

• The MarSCoDe instrument suite on the Mars Rover of China’s Tianwen-1 mission
Authors: W Xu, X Liu, Z Yan, L Li, Z Zhang, Y Kuang, H Jiang, H Yu, F Yang, C Liu, …
Year: 2021
Citations: 115
Source: Space Science Reviews, Vol. 217, 1–58

• A laser-induced breakdown spectroscopy multi-component quantitative analytical method based on a deep convolutional neural network
Authors: LN Li, XF Liu, WM Xu, JY Wang, R Shu
Year: 2020
Citations: 63
Source: Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 169, 105850

• Laser-induced breakdown spectroscopy combined with a convolutional neural network: A promising methodology for geochemical sample identification in Tianwen-1 Mars mission
Authors: F Yang, LN Li, WM Xu, XF Liu, ZC Cui, LC Jia, Y Liu, JH Xu, YW Chen, …
Year: 2022
Citations: 22
Source: Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 192, 106417

• Ionization and high harmonic generation of two-dimensional quasiperiodic structures in arbitrarily polarized strong laser fields
Authors: LN Li, F He
Year: 2016
Citations: 15
Source: Journal of the Optical Society of America B, Vol. 34 (1), 52–59

• Convolutional neural network chemometrics for rock identification based on laser-induced breakdown spectroscopy data in Tianwen-1 pre-flight experiments
Authors: F Yang, W Xu, Z Cui, X Liu, X Xu, L Jia, Y Chen, R Shu, L Li
Year: 2022
Citations: 12
Source: Remote Sensing, Vol. 14 (21), 5343

• Development and Testing of the MarSCoDe LIBS Calibration Target in China’s Tianwen-1 Mars Mission
Authors: X Liu, W Xu, H Qi, X Ren, J Liu, L Li, Z Yan, C Liu, J Chen, Z Zhang, C Li, …
Year: 2023
Citations: 9
Source: Space Science Reviews, Vol. 219 (5), 43

• Bintree seeking: a novel approach to mine both bi-sparse and cohesive modules in protein interaction networks
Authors: QJ Jiao, YK Zhang, LN Li, HB Shen
Year: 2011
Citations: 8
Source: PLoS One, Vol. 6 (11), e27646

• Investigation into the Affect of Chemometrics and Spectral Data Preprocessing Approaches upon Laser-Induced Breakdown Spectroscopy Quantification Accuracy Based on MarSCoDe …
Authors: Z Liu, L Li, W Xu, X Xu, Z Cui, L Jia, W Lv, Z Shen, R Shu
Year: 2023
Citations: 5
Source: Remote Sensing, Vol. 15 (13), 3311

• Initial drift correction and spectral calibration of MarSCoDe laser-induced breakdown spectroscopy on the Zhurong rover
Authors: L Jia, X Liu, W Xu, X Xu, L Li, Z Cui, Z Liu, R Shu
Year: 2022
Citations: 5
Source: Remote Sensing, Vol. 14 (23), 5964

• A Laser-Induced Breakdown Spectroscopy Experiment Platform for High-Degree Simulation of MarSCoDe In Situ Detection on Mars
Authors: Z Cui, L Jia, L Li, X Liu, W Xu, R Shu, X Xu
Year: 2022
Citations: 5
Source: Remote Sensing, Vol. 14 (9), 1954

• Roles of Coulomb potentials in below-and above-threshold harmonic generation for a hydrogen atom in strong laser fields
Authors: LN Li, JP Wang, F He
Year: 2016
Citations: 5
Source: Journal of the Optical Society of America B, Vol. 33 (7), 1558–1563

• Comparison on quantitative analysis of olivine using MarSCoDe laser-induced breakdown spectroscopy in a simulated Martian atmosphere
Authors: X Liu, W Xu, L Li, X Xu, H Qi, Z Zhang, F Yang, Z Yan, C Liu, R Yuan, …
Year: 2022
Citations: 4
Source: Remote Sensing, Vol. 14 (21), 5612

• An Overview of Quantum Machine Learning Research in China
Authors: L Li, X Zhang, Z Cui, W Xu, X Xu, J Wang, R Shu
Year: 2025
Citations: 1
Source: Applied Sciences, Vol. 15 (5), 2555

• Numerical Simulation of Heat Conduction in Laser Ablation Based on Optimal Weight Factor
Authors: LN Li, ZC Cui, R Shu, JY Wang, XS Xu, WM Xu
Year: 2023
Citations: 1
Source: Atomic Spectroscopy, Vol. 44 (4), 236–246

• Automatic morphologic classification of Martian craters using imbalanced datasets of Tianwen-1’s MoRIC images with deep neural networks
Authors: Q Zheng, R Huang, Y Xu, F Zhang, C Xiao, L Li, X Tong
Year: 2025
Source: Planetary and Space Science, Vol. 262, 106104

Lina Guo | Information Theory | Best Researcher Award

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Dr. Lina Guo | Information Theory | Best Researcher Award

Lecturer at North University of China, China

Dr. Lina Guo is a dedicated researcher in signal and information processing, specializing in image processing, reconstruction, and photoelectric detection. She holds a Ph.D. and currently serves as a Lecturer at North University of China while also working as a Postdoctoral Researcher at the Automation Research Institute Co., Ltd. of China South Industries Group Corporation. Her research excellence is reflected in her leadership of three major funded projects, including grants from the National Natural Science Foundation and Shanxi Province Natural Science Foundation. She has published 15 academic papers, with 10 indexed in SCI/EI, and has been granted seven national invention patents, demonstrating her ability to bridge theoretical advancements with practical applications. Dr. Guo’s work significantly contributes to advancing photoelectric detection technologies, and her dedication to cutting-edge research positions her as a leading scientist in her field. Her expertise and research impact make her a strong candidate for prestigious scientific awards.

Professional Profile 

ORCID Profile

Education

Dr. Lina Guo holds a Doctor of Philosophy (Ph.D.) in Signal and Information Processing, an advanced and interdisciplinary field that integrates image processing, reconstruction, and photoelectric detection. Her academic journey has been focused on developing innovative methodologies for improving signal analysis and image interpretation, which are crucial in numerous technological and industrial applications. With a strong foundation in mathematical modeling, algorithm development, and real-world problem-solving, she has honed her expertise in analyzing complex datasets and enhancing imaging technologies. Her education has equipped her with the theoretical knowledge and practical skills required to conduct high-impact research, leading to numerous scientific contributions. Throughout her academic training, Dr. Guo demonstrated exceptional analytical abilities and a commitment to pioneering advancements in her field. Her Ph.D. education has played a pivotal role in shaping her research direction, enabling her to lead groundbreaking projects and contribute significantly to the scientific community.

Professional Experience

Dr. Lina Guo has an extensive background in research and academia, holding key positions that have allowed her to advance scientific knowledge and mentor young researchers. Since January 2019, she has been serving as a Lecturer at North University of China, where she plays a crucial role in teaching and guiding students in the fields of signal processing, image reconstruction, and photoelectric detection. Additionally, in January 2022, she joined the Automation Research Institute Co., Ltd. of China South Industries Group Corporation as a Postdoctoral Researcher, further expanding her research expertise in industrial and technological applications. Her experience spans across academic research, technological innovation, and project management, allowing her to contribute to both theoretical advancements and practical implementations. Her ability to work on multidisciplinary projects has positioned her as an influential figure in signal processing research, bridging the gap between academia and industry through her innovative contributions.

Research Interest

Dr. Lina Guo’s research is centered around Signal and Information Processing, with a specific focus on image processing, reconstruction, and photoelectric detection. Her work explores advanced algorithms and computational methods for improving image clarity, enhancing detection accuracy, and optimizing data processing in optical systems. By integrating machine learning, mathematical modeling, and digital signal analysis, she aims to develop cutting-edge solutions for medical imaging, remote sensing, and industrial automation. Dr. Guo’s research also extends to photoelectric detection technologies, where she investigates novel methods for improving sensor efficiency and optical signal interpretation. With an emphasis on practical applications, her studies contribute to fields such as biomedical engineering, security surveillance, and artificial intelligence-driven imaging. Her commitment to exploring innovative methodologies has positioned her as a leader in the field, influencing the future of image reconstruction and processing techniques while solving real-world challenges in various industries.

Awards and Honors

Dr. Lina Guo has earned prestigious recognition for her outstanding research and contributions to the fields of signal processing and image analysis. She has successfully led three significant research projects, including one funded by the National Natural Science Foundation of China, one by the Shanxi Province Natural Science Foundation, and another supported by the central government for local scientific and technological development. These projects highlight her ability to secure competitive research grants and drive impactful innovations. Her scholarly work is further reflected in her 15 published academic papers, with 10 indexed in SCI/EI, demonstrating her global research influence. Additionally, she has been granted seven national invention patents, showcasing her capability to translate theoretical research into practical, real-world applications. These achievements underscore her commitment to scientific excellence and her contributions to advancing technological solutions in image processing and photoelectric detection.

Conclusion

Dr. Lina Guo is a highly accomplished researcher and educator, making remarkable contributions to signal and information processing. With her Ph.D. in Signal Processing, she has established herself as an expert in image reconstruction, machine learning, and photoelectric detection. Her lecturing and postdoctoral research roles demonstrate her dedication to academia, innovation, and mentorship. Through her three major research projects, numerous publications, and patents, she has significantly impacted the scientific and technological community. Her ability to secure competitive research funding highlights her leadership in pioneering state-of-the-art advancements in optical imaging and signal analysis. Dr. Guo’s continued efforts in bridging research and industry applications position her as a leading scientist in her field. Her achievements make her a strong candidate for esteemed scientific recognitions and awards, further solidifying her role as an innovator and thought leader in the evolving landscape of signal processing and imaging technologies.

Publications Top Noted