Qian Wang received the B.S. and Ph.D. degrees in Communication Engineering from East China Normal University, Shanghai, and was a Visiting Scholar in the Department of Cognitive Development & Neuroimaging at Columbia University, New York. She is currently a Lecturer in the School of Computer Science and Technology at Donghua University, Shanghai. Dr. Wang is actively contributing to the academic community and has served as a Technical Program Chair for CISP-BMEI 2024, while also securing support from the National Natural Science Foundation of China (NSFC Young Scientists Fund) and other institutional grants. She has published influential works in leading journals and conferences, including IEEE TMI, TCSVT, ESWA, and ECCV. Her research focuses on intelligent analysis of multi-source imaging data, developing physics-informed models to enhance spatial–spectral resolution, multimodal fusion strategies to bridge heterogeneous modalities, and multi-task learning frameworks to jointly address structural recognition and attribute prediction. These methodological advances are applied across pathology, microscopy, and remote sensing, supporting tasks such as image reconstruction, segmentation, and quantitative measurement.