Mr. Doudou Ren | Artificial Intelligence Awards | Best Researcher Award

Mr. Doudou Ren, Xinjiang University, China

Mr. Doudou Ren, a dedicated Master’s student at Xinjiang University 🇨🇳, is excelling in Computer Science and Technology, ranking 21st in his class. He previously graduated 4th in his class with a Bachelor’s in Internet of Things Engineering from Anhui University of Engineering 🎓. Doudou has contributed to several significant projects, including the State Grid Project, where he optimized low-resolution equipment defect identification algorithms using image enhancement techniques 🛠️. His research includes an independently published paper on a small object detection algorithm and contributions to the “Group Intelligent Autonomous Operation Smart Farm” project, developing crop scenario perception models 🌾. At the Xinjiang Multilingual Information Technology Laboratory, he is actively engaged in multiple National Natural Science Foundation projects, showcasing his expertise and commitment to advancing technology and research 🔬.

Professional Profile:

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📚Education:

Doudou Ren is currently pursuing a Master’s Degree in Computer Science and Technology at Xinjiang University’s School of Computer Science and Technology, a National First Class Construction Discipline, where he ranks 21st in his class. He previously completed his Bachelor’s Degree in Internet of Things Engineering at Anhui University of Engineering’s School of Computer and Information Technology, graduating with a professional score ranking of 4th out of 88 students.

🎓Work Experience:

Doudou Ren has participated in several significant projects, including the State Grid Project (Horizontal) where he worked on optimizing low-resolution equipment defect identification algorithms based on image enhancement (SGXJXT00JFJS2200076). His responsibilities included writing technical reports and final accounts detailing project objectives, methods, implementation processes, and results. He also independently wrote and published an academic paper titled “MFDF-YOLOv7: YOLOv7-Based Multiscale Feature Dynamic Fusion Small Object Detection Algorithm”. Additionally, he contributed to the National Major Science and Technology Project “Group Intelligent Autonomous Operation Smart Farm” (National Class B), focusing on developing a crop growth scenario understanding model (2022ZD0115802). In this role, he was responsible for extracting characteristic information of grass pests, designing crop scenario perception models, writing project documents and technical reports, and conducting experiments to verify model performance in real farm environments. As a key researcher at the Xinjiang Multilingual Information Technology Laboratory, Doudou is currently involved in multiple National Natural Science Foundation projects.