Dr. Zhidan Ran, Southeast University, China
Dr. Zhidan Ran is a Ph.D. candidate in Control Science and Engineering at Southeast University, specializing in computer vision, person re-identification, and image retrieval. With multiple high-impact publications in IEEE Transactions and Pattern Recognition, he focuses on advancing security technologies through person re-identification and anomaly detection. He holds several patents, including methods for oil stain detection in vehicles. Dr. Ran has received notable awards, such as the Jiangsu College Student Electronic Design Competition (First Prize). His contributions to AI and automation continue to push boundaries in both theory and application. 🧠✨
Publication Profile
Scopus
Education 🎓
Dr. Zhidan Ran has pursued all levels of his higher education at Southeast University, Nanjing, China, showcasing his dedication to academic excellence. He is currently a Ph.D. candidate in Control Science and Engineering (2021–present), under the guidance of Dr. Xiaobo Lu, focusing on advanced technologies in computer vision and automation. Previously, he completed his Master’s degree (2019–2021) in the same field, mentored by Dr. Haikun Wei, where he deepened his expertise in innovative control systems. Dr. Ran earned his Bachelor’s degree in Automation (2015–2019), laying the foundation for his impactful career in automation and engineering. 🌟📚
Research Interests
Dr. Zhidan Ran is a dedicated researcher specializing in computer vision, person re-identification, and image retrieval. His work focuses on leveraging advanced technologies to improve security and automation systems. As a Ph.D. candidate in Control Science and Engineering at Southeast University, he has contributed to several cutting-edge projects and high-impact publications. His expertise in developing innovative solutions for image-based recognition and retrieval demonstrates his commitment to advancing AI and machine learning applications. Dr. Ran’s research aims to bridge theoretical advancements and real-world implementations, driving progress in smart systems and intelligent automation. 🧠✨
Awards and Achievements
Dr. Zhidan Ran has been honored with numerous prestigious awards, showcasing his exceptional talent in technology and innovation. He secured first prize in the Jiangsu College Student Electronic Design Competition (2018) and achieved third prize in both the China College Students Computer Design Competition and the Jiangsu Mathematical Contest in Modeling (2017). His ingenuity was further recognized with an Excellence Award at the Southeast University Smart Car Competition (2017). Additionally, he earned the coveted Southeast University President Scholarship for 2016-2017. These accolades reflect his dedication to pushing the boundaries of automation and engineering. 🥇🤖
Research Focus
Dr. Zhidan Ran specializes in cutting-edge research areas, including computer vision, person re-identification, and image retrieval. His work extends to video-based anomaly detection and camera domain adaptation, as evident in studies like Multiscale Aligned Spatial-Temporal Interaction and Camera Domain Adaptation Using Transformers. Additionally, he contributes to transportation safety, focusing on oil stain detection for high-speed trains through advanced networks like MFANet and PCCN. With innovations in top-view fisheye cameras and adaptive frameworks, Dr. Ran’s interdisciplinary expertise bridges automation and visual intelligence, pushing the boundaries of smart systems and transport technologies. 🚉📷💡
Publication Top Notes
📝 Anomaly-Aware Semantic Self-Alignment Framework for Video-Based Person Re-Identification (2024) – Cited by: 0
📝 Multiscale Aligned Spatial-Temporal Interaction for Video-Based Person Re-Identification (2024) – Cited by: 0
🛤️ MFANet: Multifaceted Feature Aggregation Network for Oil Stains Detection of High-Speed Trains (2023) – Cited by: 2
📷 DCPB: Deformable Convolution Based on the Poincaré Ball for Top-view Fisheye Cameras (2023) – Cited by: 0
🛠️ PCCN: Progressive Context Comprehension Network for Oil Stains Detection of High-Speed Trains (2023) – Cited by: 2
🎥 Camera Domain Adaptation Based on Cross-Patch Transformers for Person Re-Identification (2022) – Cited by: 7