Kun Xiao | Data Analysis Techniques | Best Researcher Award

Prof. Kun Xiao | Data Analysis Techniques | Best Researcher Award

Professor at East China University of Technology | China

Professor Xiao Kun is a distinguished academic and researcher at the East China University of Technology, affiliated with the School of Geophysics and Measurement-Control Technology. With a career dedicated to advancing geophysical exploration, especially in unconventional energy resources and machine learning applications, Professor Xiao has earned national acclaim as a young scientific and technological talent and leading academic figure in Jiangxi Province. His professional journey is marked by innovation, academic leadership, and technical excellence, making him a significant contributor to China’s scientific community.

👨‍🎓Profile

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ORCID

🎓 Early Academic Pursuits

Professor Xiao embarked on his academic path at the China University of Geosciences (Beijing), where he majored in Geodetection and Information Technology. He completed his Ph.D. in Engineering in July 2015, laying a strong foundation in geophysics. His doctoral work focused on gas hydrate reservoir simulation and geophysical logging, an area he would continue to specialize in throughout his career.

👨‍🏫 Professional Endeavors

Since 2015, Professor Xiao has been affiliated with the East China University of Technology, progressing through the ranks from Lecturer to Associate Professor, and most recently to Professor in 2024. His work encompasses both teaching and advanced scientific research in geophysical exploration, with a strong focus on field experiments, numerical simulations, and interdisciplinary applications.

🔬 Contributions and Research Focus

Professor Xiao Kun’s core research centers on geophysical theory and method development, with a strong emphasis on the exploration of unconventional energy resources such as gas hydrates, coalbed methane (CBM), and shale gas. He specializes in applying machine learning techniques to geophysical logging and lithology identification, as well as conducting petrophysical property analysis and numerical simulations of complex reservoirs. He has successfully led over 20 major research projects funded by esteemed institutions including national key programs and provincial science foundations.

🌍 Impact and Influence

Professor Xiao Kun is a recognized thought leader in China’s geophysical research community, actively contributing as a communication review expert for prestigious institutions such as the Changjiang Scholars Program and the National Natural Science Foundation of China (NSFC). He also supports several provincial science and technology panels, reinforcing his role in shaping research directions. His expertise has had a significant impact on energy exploration policies, geophysical education, and the development of research strategies across various regions in China.

📚 Academic Citations and Publications

Professor Xiao has published over 60 academic papers, with more than 30 indexed by SCI/EI, spanning leading journals such as Geophysics, Acta Geophysica, Journal of Geophysics and Engineering, and Scientific Reports. His work has been cited across various scientific domains, highlighting his interdisciplinary impact in applied geophysics and data-driven modeling.

He has also authored one academic monograph, solidifying his contributions in the form of scholarly literature, and secured six national invention patents and six software copyrights.

🧠 Research Skills and Technical Expertise

Professor Xiao Kun possesses exceptional technical expertise in numerical modeling, reservoir simulation, and well-logging analysis, with a strong command of machine learning algorithms such as ensemble learning and extreme learning machines. His proficiency in multiphysics data integration and high-performance scientific computing empowers him to tackle complex subsurface challenges. These advanced skills allow him to develop innovative solutions in geophysical exploration, significantly contributing to energy sustainability research and the evolution of data-driven geoscience methodologies.

👨‍🏫 Teaching Experience

In addition to his research, Professor Xiao has over 9 years of teaching experience in undergraduate and postgraduate programs, mentoring students in geophysical methods, logging technologies, and scientific computing. He has also guided students to win three national competition awards, showing his dedication to academic mentorship and talent cultivation.

🏅 Awards and Honors

Professor Xiao Kun has received numerous prestigious accolades that highlight his national recognition and academic leadership. He was honored as a “Young Scientific and Technological Talent” by the Ministry of Natural Resources in 2023 and named a finalist for the “National Good Youth with Positive Energy” in 2022. As a Leading Academic Leader in Jiangxi Province, he also serves on editorial boards of top journals and is an active member of key scientific committees, demonstrating his broad influence in geophysical research and governance.

🚀 Legacy and Future Contributions

Professor Xiao Kun is poised to shape the next generation of geophysical research in China and beyond. His pioneering integration of AI-driven methodologies with traditional geophysical exploration techniques signifies a transformative advancement in the field. Looking ahead, his research is expected to play a vital role in areas such as green energy resource evaluation, AI-geoscience fusion, and data-driven decision-making in complex subsurface environments. With a strong foundation in both applied research and academic mentorship, Professor Xiao is committed to driving innovation, strengthening international research collaboration, and advancing the frontiers of scientific excellence in geophysics.

Top Noted Publications

Study on logging identification of sandstone-type uranium deposits based on ensemble learning in the Songliao Basin in Northeast China

  • Authors: Kun Xiao, Yichen Xu, Yaxin Yang, et al.
    Journal: Nuclear Science and Engineering
    Year: 2025

Numerical simulation of resistivity and saturation estimation of pore-type gas hydrate reservoirs in the permafrost region of the Qilian Mountains

  • Authors: Xudong Hu, Changchun Zou, Zhen Qin, Hai Yuan, Guo Song, Kun Xiao (Corresponding author)
    Journal: Journal of Geophysics and Engineering
    Year: 2024

Research progress on lithologic logging evaluation of uranium ore layers based on machine learning

  • Authors: Kun Xiao, Changwei Jiao, Yaxin Yang, et al.
    Journal: Science Technology and Engineering
    Year: 2025

Experimental study of relationship among acoustic wave, resistivity and fluid saturation in coalbed methane reservoir

  • Authors: Kun Xiao, Zhongyi Duan, Yaxin Yang, et al.
    Journal: Acta Geophysica
    Year: 2023

Automatic lithology identification of sandstone-type uranium deposit in Songliao Basin based on ensemble learning

  • Authors: Zhongyi Duan, Kun Xiao, Yaxin Yang, et al.
    Journal: Atomic Energy Science and Technology
    Year: 2023

 

Changjun Chen | Experimental methods | Best Researcher Award

Prof. Changjun Chen | Experimental methods | Best Researcher Award

Director at Soochow University | China

Prof. Changjun Chen is a renowned expert in laser materials processing and holds a professorship at the Laser Processing Research Center, School of Mechanical and Electric Engineering, Soochow University, Suzhou, China. He is also the Secretary General of both the Laser Industry Alliance of G60 S&T Innovation Valley of Yangtze River and the Jiangsu Province Laser Innovation. Prof. Chen’s research spans a variety of cutting-edge applications, particularly in laser welding, laser metal deposition, laser-assisted material removal, and surface modification. He has significantly contributed to the development of new techniques in these areas that are pivotal for industrial applications, especially in aerospace, automotive, and energy sectors.

👨‍🎓Profile

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ORCID

📚 Early Academic Pursuits

Prof. Chen began his academic journey by obtaining his Bachelor’s degree (BE) in 2000 from Northeastern University in Shenyang, China. He further advanced his education by earning a Ph.D. in 2007 from the Institute of Metal Research, Chinese Academy of Sciences, specializing in materials science. His early academic pursuits laid a strong foundation for his later contributions to laser processing and materials science.

💼 Professional Endeavors

Prof. Chen’s professional career began in 2007 when he joined Wuhan University of Science and Technology, where he served as an associate professor until 2011. His career took a major leap when he joined Soochow University in 2011, attaining the title of Professor. His academic journey also includes a significant research visit to Columbia University in 2013-2014, supported by the China Scholarship Council. This international exposure has allowed him to collaborate and interact with leading researchers across the globe.

🔬 Contributions and Research Focus

Prof. Chen’s research is focused on laser materials processing and its industrial applications. His group explores a range of cutting-edge topics, including:

  • Laser Metal Deposition: Particularly for superalloys and high-strength steels like high-speed steel, which are essential for both remanufacturing and manufacturing processes.

  • Laser-Forming of Metallic Foam: For applications in aerospace and automotive industries, focusing on shock absorption, weight reduction, and sustainability.

  • Laser Cladding for Gas Turbines: Optimizing superalloys for use in extreme environments.

  • Laser Welding/Sealing of Glass to Metal/Alloy: A highly specialized area of industrial processing.

His group’s novel experimental setups, combined with materials characterization and theoretical/numerical models, aim to improve quality and productivity in manufacturing processes.

🌍 Impact and Influence

Prof. Chen’s work has had a profound impact on both academia and industry. His research in laser processing has directly contributed to increased productivity, improved quality, and enhanced efficiency in manufacturing and remanufacturing industries. Prof. Chen’s involvement in laser innovation not only benefits industrial applications but also supports sustainable practices, notably through the development of metal foams for weight reduction in transportation and aerospace sectors.

📑 Academic Cites

With over 200 peer-reviewed papers published, Prof. Chen’s work is highly regarded in the scientific community. His contributions have earned him significant recognition, with over 100 of these papers cited in SCI-indexed journals. His publications reflect his deep expertise in materials science and laser processing technology.

🛠️ Research Skills

Prof. Chen’s research is characterized by his innovative approach to laser material interactions, which involves a balance of theoretical investigation and hands-on experimentation. His skills in materials characterization, numerical simulations, and process optimization have enabled him to make significant advancements in laser welding, cladding, and deposition processes. Furthermore, his expertise in foam shaping via laser forming has contributed to the development of sustainable manufacturing techniques for industries like automotive and aerospace.

🏅 Teaching Experience

In addition to his research, Prof. Chen has a long history of mentoring students and professionals in the field of materials science and laser processing. As a professor at Soochow University, he has played a pivotal role in shaping the careers of countless graduate and post-graduate students. His teaching style emphasizes the integration of theoretical knowledge with practical application, ensuring that his students are well-prepared for careers in both academia and industry.

🌱 Legacy and Future Contributions

Prof. Chen’s work has laid a solid foundation for future advancements in laser processing technologies. His contributions to sustainable manufacturing through laser-assisted foam shaping and metal deposition are expected to shape the future of the aerospace, automotive, and energy industries. His research group continues to push the boundaries of what is possible in laser-based manufacturing, and his global collaborations ensure that his influence will continue to grow, benefiting industries worldwide.

Publications Top Notes

Effect of composite adding Ta and Mo on microstructure and properties of W-Mo-Cr high-speed steel prepared by laser metal deposition

  • Authors: M. Zhang, C. Chen (Changjun)
    Journal: Applied Physics A: Materials Science and Processing
    Year: 2025

The influence of anodization on laser transmission welding between high borosilicate glass and TC4 titanium alloy

  • Authors: L. Li (Lei), C. Chen (Changjun), C. Li (Chunlei), C. Tian (Chen), W. Zhang (Wei)
    Journal: Optics and Laser Technology
    Year: 2025

Effect of High-Temperature Oxidation on Laser Transmission Welding of High Borosilicate Glass and TC4 Titanium Alloy

  • Authors: M. Xu (Mengxuan), C. Chen (Changjun), J. Shao (Jiaqi), M. Zhang (Min), W. Zhang (Wei)
    Journal: Journal of Materials Engineering and Performance
    Year: 2025

Comparative Study of the Effects of Different Surface States During the Laser Sealing of 304 Steel/High-Alumina Glass

  • Authors: C. Chen (Changjun), B. Bao (Bei), J. Shao (Jiaqi), M. Zhang (Min), H. Liu (Haodong)
    Journal: Coatings
    Year: 2025

Effects of Different Surface Treatment Methods on Laser Welding of Aluminum Alloy and Glass

  • Authors: C. Chen (Changjun), L. Li (Lei), M. Zhang (Min), W. Zhang (Wei)
    Journal: Coatings
    Year: 2024

 

Yue Song | Experimental methods | Best Researcher Award

Assoc. Prof. Dr. Yue Song | Experimental methods | Best Researcher Award

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences | China

Dr. Song Yue is an Associate Researcher at the Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, specializing in high-power semiconductor lasers and the failure mechanisms of these lasers. With a PhD from the University of Chinese Academy of Sciences, she has made significant contributions to the field, including proposing new models on defect evolution and indium atom migration in semiconductor materials.

👨‍🎓Profile

Scopus

Early Academic Pursuits 📚

Dr. Song completed her PhD at the University of Chinese Academy of Sciences, where she gained deep knowledge in semiconductor lasers and the mechanisms affecting their efficiency and longevity. Her academic path was characterized by an early focus on understanding the complex behaviors of semiconductor materials under various operational conditions. Her research foundation laid the groundwork for her future innovations.

Professional Endeavors 💼

Dr. Song is an Associate Researcher at the Changchun Institute of Optics, Fine Mechanics and Physics. In this role, she has led numerous research projects, most notably focusing on high-power semiconductor lasers. She has been an integral part of key national research initiatives, including projects funded by the National Natural Science Foundation of China and the National Key Research and Development Program of China. These efforts have not only advanced her field but also brought significant funding and resources into her research domain.

Contributions and Research Focus 🔬

Dr. Song’s research is primarily focused on the development and efficiency enhancement of semiconductor lasers. Her contributions include the thermal defect evolution models for quantum wells in AlGaInAs and introducing a strained compensation layer in superlattice structures. These innovations are aimed at improving the performance and reliability of gain chips, which are central to high-power laser technology. She also proposed a novel approach to understanding indium atom migration in semiconductor materials using the dark state model, shedding light on failure mechanisms that affect the lifespan and stability of these lasers.

Impact and Influence 🌍

Dr. Song’s research has had a profound impact on the semiconductor laser industry, particularly by improving the efficiency and reliability of gain chips. Her findings are widely cited, and her work on thermal effects and indium atom migration has set new standards in the industry. Additionally, her involvement in developing group standards for the China Association of Automobile Manufacturers has led to practical applications of her research in the automotive sector.

Academic Cites 📑

Dr. Song has authored over 30 academic papers, including 14 SCI core papers as the first or corresponding author. Her work is frequently cited in the scientific community, particularly in the domains of semiconductor lasers and optical materials. She has also coauthored a monograph, expanding the breadth of her influence in the academic world.

Research Skills 🔧

Dr. Song is skilled in the theoretical modeling of semiconductor materials and laser systems. Her ability to develop defect models, atom migration theories, and structure enhancements demonstrates her expertise in both computational and experimental research. Her work is deeply rooted in quantum mechanics, material science, and optical engineering, making her a well-rounded researcher in the field.

Awards and Honors 🏅

Dr. Song has received multiple accolades recognizing her contributions, including:

  • High-level D Talents of Jilin Province
  • Dawn Talent title
  • Membership in the Changbai Mountain Leading Team
  • Changchun Institute of Optics Excellent Achievement Award
  • Institute’s Special Youth Reward Plan C-level award
  • Institute’s Innovation Practice Project Special Award
  • Recognition in the Wiley China Excellent Author Program

These honors reflect her outstanding contributions to both her field of research and the broader scientific community.

Legacy and Future Contributions 🌟

Dr. Song is poised to continue making groundbreaking contributions to semiconductor laser technology. Her work already impacts both academic research and industry applications, particularly in fields requiring high-efficiency lasers such as telecommunications, automotive technologies, and defense systems. As her research evolves, she is likely to contribute to advancements in quantum computing and photonic devices, leaving a lasting legacy in the world of optics and laser technology.

Publications Top Notes

High-power and ultra-wide-tunable fiber-type external-cavity diode lasers

  • Authors: Q. Cui, Y. Lei, C. Yang, L. Qin, L. Wang
    Journal: Optics and Laser Technology
    Year: 2025

Integrated Light Sources Based on Micro-Ring Resonators for Chip-Based LiDAR

  • Authors: L. Huang, C. Yang, L. Liang, Y. Ding, L. Wang
    Journal: Laser and Photonics Reviews
    Year: 2025

Recent Advances in Tunable External Cavity Diode Lasers

  • Authors: Y. Wang, Y. Song
    Journal: Applied Sciences (Switzerland)
    Year: 2025

Noise characteristics of semiconductor lasers with narrow linewidth

  • Authors: H. Wang, Y. Lei, Q. Cui, L. Qin, L. Wang
    Journal: Heliyon
    Year: 2024