Special Session 1. Intelligent Data Analysis and Its Application in Detection and Recognition

 1. Brief Description

Intelligent data analysis technology, with its profound capability to process massive, multi-source heterogeneous data, is gradually breaking through the limitations of traditional analytical methods and demonstrating immense application potential in the fields of detection and recognition. This special session focuses on "Intelligent Data Analysis and Its Applications in Detection and Recognition." It aims to explore the cutting-edge advancements and core architectures of intelligent data analysis technologies, as well as their practical applications, challenges, and future development trends in various detection and recognition scenarios, such as security, industry, and healthcare. The goal is to build a communication platform for promoting the implementation and innovation of related technologies.


 2. Special Session Chair

Dr. Minmin Yang, Shenyang University of Technology, China


 3. Special Session Topics

Potential topics of interest include but are not limited to:
▪ Data Acquisition and Processing
▪ Data Storage and Management
VData Analysis and Mining
▪ Data Visualization and Presentation
▪ Video Analysis and Feature Recognition
▪ Equipment Fault Detection and Predictive Maintenance
▪ Medical Image Analysis and Diagnosis


 4. Introduction of Special Session Chair

Dr. Minmin Yang, Shenyang University of Technology, China

Yang Minmin, graduated from Northeastern University and obtained a Doctor of Engineering degree. She is currently a Master's Supervisor at the School of Artificial Intelligence, Shenyang University of Technology. Her research primarily focuses on computer vision and deep learning. She has published multiple SCI-indexed papers as the first author and corresponding author in prestigious journals and international conferences, including the top-tier journal IEEE Transactions on Multimedia. Additionally, she has applied for several patents and has led and participated in numerous enterprise-funded and government-funded research projects.