Prof. Min Gan received the Ph.D. degree in Control Science and Engineering from Central South University, China. He is currently a Professor at Qingdao University, China, and an IEEE Senior Member. He serves as an Associate Editor for IEEE Transactions on Image Processing and Pattern Recognition. His research interests include machine learning, numerical optimization, adaptive and online learning, time series forecasting, computer vision, and efficient artificial intelligence. His research focuses on developing optimization-based learning algorithms and intelligent systems, including recursive learning methods, structured optimization, visual perception, and data-driven modeling. He has published research articles in leading international journals, including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, and IEEE Transactions on Neural Networks and Learning Systems. He has also led several research projects supported by the National Natural Science Foundation of China. His current research explores the integration of mathematical optimization, machine learning, and intelligent applications.