Dr. Yinqiang Su – Image Processing – Best Researcher Award 

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Dr. Yinqiang Su - Image Processing - Best Researcher Award 

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

Author Profile 

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

Assoc Prof Dr. Cornel Ioana – Signal analysis – Best Researcher Award

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Assoc Prof Dr. Cornel Ioana - Signal analysis - Best Researcher Award

Grenoble INP - GIPSA-lab - France

Author Profile

ORCID

Early academic pursuits 🎓

Cornel Ioana's academic journey began at the military technical academy of bucharest, where he earned his engineering degree in electronics and information technology in 1999. his passion for signal processing led him to pursue further studies at the university of brest, where he earned both a master of science in telecommunications in 2001 and a ph.d. in electronics and signal processing in 2003. these foundational experiences fueled his deep interest in electronics, telecommunications, and signal processing, paving the way for a prolific academic and research career.

Professional endeavors 🏢

Since september 2006, cornel has been an associate professor at grenoble inp ense3, where he leads research at gipsa-lab. he has taken on multiple leadership roles, including heading the isee (image and signal for energy and environment) teaching-research platform and the sigmaphy research team. his expertise has also extended into entrepreneurship as the founder and ceo of altrans sas, and as the co-founder and scientific advisor of motrhys, reflecting his ability to bridge academia with industry innovation.

Contributions and research focus 🔬

Cornel’s research focus lies at the intersection of electronics and signal processing, with a special emphasis on energy, the environment, and innovative signal analysis techniques. as the principal investigator of more than 18 research projects since 2007, his work has contributed to advancements in signal processing for real-world Signal analysis applications. his leadership in various research projects has had a significant impact on developing new methods for analyzing and interpreting signals in complex systems.

Accolades and recognition 🏅

Cornel's achievements have been recognized through his habilitation to supervise research at the university of grenoble alpes in 2012, marking a high point in his academic career. his contributions to the field have been acknowledged by both the academic community and the industry, highlighting his dual role as a scientist Signal analysis and an innovator. his leadership roles within the academic structure and his success in founding companies further underscore his recognition in both sectors.

Impact and influence 🌍

Through his work in signal processing, cornel has had a substantial impact on both academia and industry. his innovative research has shaped new approaches to Signal analysis signal interpretation, with implications for energy management and environmental monitoring. as a professor and advisor, he has mentored numerous students and researchers, contributing to the growth of knowledge and expertise in his field.

Legacy and future contributions 🔮

Cornel Ioana's legacy is defined by his innovative contributions to electronics and signal processing, as well as his commitment to applying these technologies for energy and environmental benefits. with his continued role as a professor, researcher, and entrepreneur, cornel is poised to keep pushing the boundaries of signal processing, ensuring that his future contributions will continue to shape the field and inspire future generations of researchers.

Notable Publications 

  • Non-Intrusive Continuous Monitoring of Leaks for an In-Service Penstock
    • Authors: Marius Nati, Cristina Despina-Stoian, Dragos Nastasiu, Denis Stanescu, Angela Digulescu, Cornel Ioana, Vincent Nanchen
    • Journal: Sensors (2024-08)
  • Entropy-Based Characterization of the Transient Phenomena—Systemic Approach
    • Authors: Denis Stanescu, Angela Digulescu, Cornel Ioana, Alexandru Serbanescu
    • Journal: Mathematics (2021-03)
  • Reconstruction Error in Nonuniformly Sampled Approximately Sparse Signals
    • Authors: Ljubisa Stankovic, Milos Brajovic, Isidora Stankovic, Cornel Ioana, Milos Dakovic
    • Journal: IEEE Geoscience and Remote Sensing Letters (2021-01)
  • Bit-depth Quantization and Reconstruction Error in Images
    • Authors: Isidora Stankovic, Milos Brajovic, Cornel Ioana, Milos Dakovic, Ljubisa Stankovic
    • Journal: Signal, Image and Video Processing (2020)
  • Quantization Effect in Nonuniform Nonsparse Signal Reconstruction
    • Authors: Isidora Stankovic, Milos Brajovic, Milos Dakovic, Ljubisa Stankovic, Cornel Ioana
    • Journal: Conference paper (2020)