Mr. Jin Qilin  | Computer vision | Best Researcher Award

Mr. Jin Qilin  | Computer vision | Best Researcher Award

Hohai University, China.

Qilin Jin is a passionate researcher specializing in the application of artificial intelligence and software engineering. With a focus on integrating AI with real-world engineering challenges, he has made significant strides in areas such as sonar image analysis, defect detection, and structural monitoring. His innovative work has been recognized through impactful publications and contributions to the scientific community.

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🎓 Education

Qilin Jin is currently pursuing a Ph.D. in Computer Science, specializing in the applications of artificial intelligence and software engineering to solve complex real-world problems. His doctoral research focuses on leveraging advanced AI algorithms for defect detection and structural analysis. He holds a Master's Degree in Engineering, where his studies centered on intelligent systems and structural monitoring, providing a strong foundation for his innovative contributions to these fields.

💼 Experience

Qilin Jin is an accomplished researcher with extensive experience in developing AI-driven solutions tailored for industrial and engineering applications. His work focuses on creating innovative methods for defect detection and segmentation, leveraging cutting-edge artificial intelligence technologies to enhance accuracy and efficiency. As a dedicated collaborator, Qilin actively contributes to multidisciplinary projects, combining expertise from various domains to address complex challenges in structural monitoring and intelligent systems.

🔍 Research Interests

Artificial Intelligence Applications: Advanced algorithms for defect detection and structural analysis.

Software Engineering: Innovative methods to enhance engineering software development.

Deep Learning: Leveraging deep neural networks for real-time segmentation and detection tasks.

🏆 Awards and Recognitions

Young Innovator Award for contributions to AI-based defect detection in sonar imaging.

Recognized for excellence in research by leading journals like Applied Sciences and Journal of Sound and Vibration.

🖋️ Publications

  1. Jin, Qilin, Han Qingbang, Qian Jianhua, et al. "Drainage Pipeline Multi-Defect Segmentation Assisted by Multiple Attention for Sonar Images," Applied Sciences, 2025, 15(2): 597.
    Cited by 5 articles.
  2. Jin Qilin, Han QingBang, Su NaNa, et al. "A deep learning and morphological method for concrete cracks detection," Journal of Circuits, Systems, and Computers, 2023, 4.
    Cited by 3 articles.
  3. Wu Yang, Han QingBang, Jin Qilin, et al. "LCA-YOLOv8-Seg: An Improved Lightweight YOLOv8-Seg for Real-Time Pixel-Level Crack Detection of Dams and Bridges," Applied Sciences, 2023, 13: 10583.
    Cited by 7 articles.
  4. Han YuFeng, Han QingBang, Zhang ShiGong, Su NaNa, Jin Qilin, Shan MingLei. "Semianalytical numerical iterative analysis for a one-dimensional second harmonic wave," Journal of Sound and Vibration, 2022, 8.
    Cited by 2 articles.

 

 

 

Prof. Wen Jiang | Artificial Intelligence | Best Researcher Award

Prof. Wen Jiang | Artificial Intelligence | Best Researcher Award

Northwestern Polytechnical University, China.

Prof. Wen Jiang is a distinguished researcher and academic with a Ph.D. from Northwestern Polytechnical University, Xi’an, China (2009). She currently serves as a professor in the School of Electronics and Information at Northwestern Polytechnical University. Her work focuses on cutting-edge areas like information fusion, artificial intelligence, remote sensing image processing, and intelligent algorithm security, making her a leader in her field.

Profile

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Education 🎓

Prof. Wen Jiang has an impressive academic background in information systems and engineering. She earned her Ph.D. in Information Systems from Northwestern Polytechnical University, Xi’an, China, in 2009, where her research focused on innovative data systems and intelligent technologies. Prior to that, she completed her Master’s degree in Information Engineering at Information Engineering University, Zhengzhou, China, in 1997, gaining in-depth knowledge of advanced engineering concepts. She began her academic journey with a Bachelor’s degree in Information Engineering from the same university in 1994, building a strong foundation for her pioneering contributions to the field.

Experience 🏫

Prof. Wen Jiang is a Professor at the School of Electronics and Information, Northwestern Polytechnical University, where she has made a significant impact in academia. She is highly regarded for mentoring aspiring researchers and leading innovative projects in advanced technologies. Her leadership and expertise have been instrumental in driving forward research in areas like artificial intelligence, information fusion, and algorithm security..

Research Interests 🔍

Information Fusion:
Integrating data from diverse sources to enable smarter and more efficient decision-making processes, crucial for applications in defense, healthcare, and industry.

Artificial Intelligence:
Advancing machine learning and intelligent systems to solve complex problems and enhance automation across various domains.

Remote Sensing Image Processing:
Developing cutting-edge tools for environmental monitoring, urban planning, disaster management, and mapping applications.

Intelligent Algorithm Security:
Ensuring the robustness, reliability, and safety of AI-driven solutions to address vulnerabilities in critical systems.

Publications Top Notes 📚

A New Data Augmentation Method Based on Mixup and Dempster-Shafer Theory IEEE Transactions on Multimedia, 2024
Contributors: Zhuo Zhang, Hongfei Wang, Jie Geng, Xinyang Deng, Wen Jiang. Link

A Novel Air Target Intention Recognition Method Based on Sample Reweighting and Attention-Bi-GRU IEEE Systems Journal, 2024
Contributors: Yu Zhang, Weichen Ma, Fanghui Huang, Xinyang Deng, Wen Jiang. Link

Causal Intervention and Parameter-Free Reasoning for Few-Shot SAR Target Recognition IEEE Transactions on Circuits and Systems for Video Technology, 2024, Contributors: Jie Geng, Weichen Ma, Wen Jiang. Link

CMSE: Cross-Modal Semantic Enhancement Network for Classification of Hyperspectral and LiDAR Data IEEE Transactions on Geoscience and Remote Sensing, 2024, Contributors: Wenqi Han, Wang Miao, Jie Geng, Wen Jiang. Link

Dual-Path Feature Aware Network for Remote Sensing Image Semantic Segmentation IEEE Transactions on Circuits and Systems for Video Technology, 2024, Contributors: Jie Geng, Shuai Song, Wen Jiang. Link