Lecturer at Shenyang University of Technology, China
Dr. Wei Yiru is an accomplished researcher specializing in image processing and artificial intelligence, with a dedicated focus on deep learning applications for real-time threat detection and saliency analysis. With a Ph.D. in Software Engineering from Northeastern University, she has transitioned from a skilled engineer to a passionate academician. Currently serving as a faculty member at Shenyang University of Technology, she has published extensively in top-tier journals such as Physics Letters A and Journal of Real-Time Image Processing. Dr. Wei demonstrates a strong ability to independently identify and solve complex problems, underpinned by her rigorous academic background and applied industrial experience. Her research contributions focus on enhancing the accuracy and speed of X-ray image analysis, particularly in public security. She has also actively contributed to national research projects and has led university-level initiatives. Her career reflects a consistent trajectory of growth, innovation, and commitment to advancing artificial intelligence applications in imaging.
Professional ProfileĀ
Educationš
Dr. Wei Yiru has pursued a comprehensive and progressive academic path in the field of computer science and engineering. She earned her Ph.D. in Software Engineering from Northeastern University between 2017 and 2021, where she conducted advanced research in deep learning and real-time image analysis. Prior to that, she completed her Masterās degree in Computer System Architecture at North China Electric Power University in Beijing from 2010 to 2013, building a strong foundation in system design and computational frameworks. Her undergraduate studies in Software Engineering were completed at Wuhan Institute of Technology, from 2006 to 2010, during which she demonstrated academic excellence and began her early engagement with programming and intelligent systems. This educational journey has equipped Dr. Wei with a robust theoretical background, practical software development expertise, and a solid grounding in both traditional computing architectures and modern artificial intelligence technologies, positioning her strongly for both academic research and industry applications.
Professional Experienceš
Dr. Wei Yiru brings a well-rounded blend of academic and industrial experience to her research endeavors. Since December 2021, she has been serving as a full-time faculty member at Shenyang University of Technology, where she teaches, mentors students, and conducts cutting-edge research in AI-based image processing. Before her academic appointment, she accumulated valuable industry experience. From 2014 to 2017, she worked as a software engineer at Shenyang Blu-ray Group, where she was involved in developing practical software applications. Prior to that, she served as a database engineer at Schneider Electric (China) Co., Ltd. from 2013 to 2014, where she gained experience in data management and enterprise systems. These roles have given her a deep understanding of real-world computing challenges and solutions, which she effectively integrates into her research. Her professional journey reflects a consistent dedication to technical innovation, system development, and academic advancement in the computing and artificial intelligence domains.
Research Interestš
Dr. Wei Yiru’s research interests lie at the intersection of artificial intelligence, image processing, and real-time detection systems. Her primary focus is on developing deep learning models for real-time threat detection in X-ray baggage inspection systems, which is crucial for enhancing public safety and security. She has explored various deep convolutional architectures, including anchor-free detection networks, depthwise separable convolutional layers, and bidirectional feature fusion networks. In addition, Dr. Wei is actively researching saliency detection using lightweight models, emphasizing computational efficiency and accuracy for deployment in resource-constrained environments. Her research demonstrates a balanced approach between theoretical innovation and practical application, particularly in the domain of intelligent surveillance and automated visual analysis. She is also interested in chaotic video encryption and compressed sensing, showcasing a broader interest in data security and multimedia processing. These interconnected themes reflect her long-term commitment to leveraging AI for intelligent perception and real-time decision-making systems.
Award and Honorš
Dr. Wei Yiru has received numerous awards and honors throughout her academic journey, reflecting her excellence and dedication to research and learning. During her masterās studies, she was awarded the prestigious National Scholarship and a Special Scholarship, in addition to being named an Outstanding Graduate Student. She also received a Second-Class Scholarship, recognizing her academic performance and contributions. As an undergraduate, Dr. Wei secured the National Encouragement Scholarship and First-Class Scholarships on three separate occasions. She was honored as an Outstanding Graduate and twice recognized as an Outstanding Student Leader, underscoring both her academic and leadership capabilities. She has also passed the National College English Test Level 6 (CET6) and National Computer Rank Examination Level 3, reflecting her well-rounded skills in communication and technical proficiency. These accolades highlight her consistent track record of achievement, leadership, and commitment to personal and professional development across all stages of her academic career.
Research Skillš¬
Dr. Wei Yiru possesses a robust suite of research skills that make her highly effective in academic and applied research environments. She has strong expertise in deep learning, particularly in developing and deploying real-time detection models for image and video analysis. Her proficiency spans convolutional neural networks (CNNs), salient object detection, threat object recognition, and feature fusion techniques. Dr. Wei is skilled in using advanced algorithms to enhance the speed and accuracy of image classification and has a proven ability to design lightweight and scalable models suitable for real-time deployment. She also has hands-on experience with chaotic video encryption, compressed sensing, and data security frameworks. Her ability to independently manage end-to-end researchāfrom problem identification to solution implementation and publicationādemonstrates strong critical thinking, project management, and technical writing abilities. These capabilities position her to contribute meaningfully to interdisciplinary collaborations and complex problem-solving in artificial intelligence and computer vision.
Conclusionš”
Dr. Wei Yiru demonstrates a strong, focused, and consistent research profile in AI-based image processing, particularly in real-time threat detection and saliency detection. Her solid publication record, project leadership, and academic rigor make her a highly suitable candidate for the Best Researcher Award at a national or institutional level.
To strengthen her candidacy further, she may consider pursuing larger-scale grants, international collaborations, patents, and mentorship roles in the near future.
Publications Top Notedā
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Title: A Cross Dual Branch Guidance Network for Salient Object Detection
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Authors: Yiru Wei, Zhiliang Zhu, Hai Yu, Wei Zhang
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Year: 2025