Dr. Yinqiang Su – Image Processing – Best Researcher Award 

Dr. Yinqiang Su - Image Processing - Best Researcher Award 

Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences - China 

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ORCID

🎓 Early academic pursuits

Yinqiang Su embarked on his academic journey with a strong foundation in mechanical design, manufacturing, and automation, earning his bachelor of engineering degree from lanzhou jiao tong university in 2018. driven by a passion for technological innovation, he pursued a master's degree in mechatronics engineering at the university of chinese academy of sciences, laying the groundwork for his future research endeavors. his thirst for knowledge led him to complete a doctorate in mechatronics engineering at the changchun institute of optics, fine mechanics, and physics, further cementing his expertise in advanced engineering and computer vision.

🛠️ Professional endeavors

Currently serving as an assistant researcher at the xi'an institute of optics and precision mechanics, chinese academy of sciences, yinqiang su has dedicated himself to advancing the field of computer vision and image processing. his professional trajectory includes leading innovative projects and contributing significantly to target tracking technologies. his roles have consistently showcased his ability to merge theoretical concepts with practical applications, driving impactful research and fostering advancements in his domain.

🔍 Contributions and research focus

Yinqiang’s research centers on the development of cutting-edge visual object tracking techniques, particularly through correlation filters and siamese networks. his innovative methods effectively address challenges in target tracking under complex and jamming-prone conditions. by integrating artificial intelligence, background perception, and machine learning, he has Image Processing introduced transformative solutions to this domain. he has successfully published papers in esteemed journals like remote sensing and expert systems with applications, and has led two pivotal projects that bridged the gap between research and real-world applications.

🏆 Accolades and recognition

Yinqiang Su’s work has been recognized through the publication of four patents, showcasing his ingenuity in addressing technical challenges. his academic papers have been indexed by sci, highlighting their impact within the scientific community. these achievements underscore his contributions to advancing the understanding and application of image processing and target Image Processing tracking technologies.

🌍 Impact and influence

Through his innovative research, yinqiang has significantly advanced the field of computer vision. his work has provided practical solutions for complex scenarios, influencing both academic Image Processing and industrial applications. his pioneering efforts in visual object tracking have set new benchmarks, inspiring peers and contributing to the evolution of this rapidly growing field.

🚀 Legacy and future contributions

Yinqiang’s journey is a testament to his commitment to innovation and excellence. as he continues to explore the frontiers of artificial intelligence and image processing, he is poised to leave a lasting legacy in the field of computer vision. his future endeavors are expected to further enhance the practical applications of his research, bridging the gap between academic innovation and real-world solutions.

Notable Publications 

  • Title: A Context Constraint and Sparse Learning Based on Correlation Filter for High-Confidence Coarse-to-Fine Visual Tracking
    Author(s): Yinqiang Su, Fang Xu, Zhongshi Wang, Mingchao Sun, Hui Zhao
    Journal: Expert Systems with Applications
  • Title: A Low-Rank Context-Aware Correlation Filter for Visual Tracking
    Author(s): Yinqiang Su, Wang Xuan, Wang Chun, Li Chong, Xu Fang
    Journal: Computer Science
  • Title: A Novel Anti-Drift Visual Object Tracking Algorithm Based on Sparse Response and Adaptive Spatial-Temporal Context-Aware
    Author(s): Yinqiang Su, Jinghong Liu, Fang Xu, Xueming Zhang, Yujia Zuo
    Journal: Remote Sensing

Dr. Guangyao cai – tomography – Best Researcher Award

Dr. Guangyao cai - tomography - Best Researcher Award

Geophysical Exploration Center, China Earthquake Administration - China

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ORCID 

Early academic pursuits 🎓

Guangyao cai embarked on his academic journey with a passion for understanding the intricacies of the solid earth. he completed his ph.d. in solid earth geophysics in 2024, focusing on unraveling the mysteries of seismic activities. during his doctoral studies, he gained expertise in seismic tomography and earthquake profiling, which laid the foundation for his impactful career in geophysical research.

Professional endeavors 🏢

Following his ph.d., guangyao joined the geophysical exploration center of the china earthquake administration (cea) as an engineer. in this role, he has been instrumental in advancing research and applications in earthquake science. his work is critical in addressing seismic challenges, particularly in the rapid construction of high-precision seismic catalogs and the profiling of seismogenic faults, ensuring accurate and timely earthquake data.

Contributions and research focus 🌋

Guangyao’s research delves into seismic tomography and earthquake localization, employing cutting-edge machine learning techniques. his innovative approaches enable the rapid construction of high-resolution seismic catalogs following major earthquakes. he also focuses on understanding seismogenic faults and the tomography mechanisms behind significant seismic events, providing valuable insights into earthquake prediction and hazard mitigation.

Accolades and recognition 🏅

although early in his career, guangyao has garnered recognition for his innovative methodologies in seismic research. his contributions to the rapid analysis of seismic events and profiling of earthquake mechanisms have positioned him as a promising researcher in geophysics. his work has significantly advanced the application of tomography machine learning in geophysical sciences.

Impact and influence 🌍

Guangyao’s work has far-reaching implications for both science and society. by improving the accuracy and speed of seismic data analysis, his research enhances our tomography understanding of earthquake dynamics and aids in disaster preparedness. his contributions are critical to minimizing the risks and impacts associated with major seismic events, ultimately contributing to safer communities.

Legacy and future contributions 🔮

Guangyao is poised to leave a lasting legacy in the field of solid earth geophysics. his innovative use of machine learning and seismic modeling is set to redefine earthquake research and monitoring. as he continues his work, guangyao’s dedication to improving earthquake prediction and understanding will inspire future advancements in geophysical exploration and hazard mitigation.

Notable Publications

  • Title: Three-dimensional velocity structure of the MS 6.0 Luxian earthquake source region and adjacent areas based on a dense seismic array
    Authors: Guangyao Cai, Weilai Wang, Jianping Wu, Guijuan Lai, Long Zhang, Jingjing Bao, Huijie Liu
    Journal: Physics of the Earth and Planetary Interiors
  • Title: Three-dimensional S-wave velocity structure of the crust and upper mantle for the normal fault system beneath the Yinchuan Basin from joint inversion of receiver function and surface wave
    Authors: Weilai Wang, Guangyao Cai, Guijuan Lai, Xianwei Zeng, Jingjing Bao, Long Zhang, Jun Su, Mingfei Chen
    Journal: Science China Earth Sciences
  • Title: Spatial–Temporal Distribution and Focal Mechanisms for the Shallow Earthquakes in the Rongchang-Luxian Region in Southern Sichuan Basin, China
    Authors: Guijuan Lai, Changsheng Jiang, Weilai Wang, Xinglin Lei, Long Zhang, Guangyao Cai, Haobo Gong, Xiangyun Guo, Mingfei Chen
    Journal: Seismological Research Letters
  • Title: Two Unconnected Low-Velocity Zones in the Eastern Boundary of the Sichuan-Yunnan Block Revealed with High-Resolution Ambient Noise Tomography
    Authors: Yu Qiu, Lihua Fang, Jing Liu, Liping Fan, Zuoyong Lü, Guangyao Cai, Shiguang Wang
    Journal: Pure and Applied Geophysics
  • Title: Three-dimensional body wave velocity structure and seismogenic structure for the 2022 MS 6.8 Luding earthquake sequence in Sichuan, China
    Authors: Guangyao Cai, Weilai Wang, Jianping Wu, Jinrong Su, Guijuan Lai, Peng Wu, Liyi Chen, Jun Su
    Journal: Frontiers in Earth Science