My research expertise lies primarily in applied machine learning, deep learning, natural language processing, multimodal learning, and intelligent signal processing, with a particular focus on developing efficient and practical AI methods for interdisciplinary applications. My research interests also include large language models, representation learning, mixture-of-experts architectures, edge intelligence, anomaly detection, and AI-enabled intelligent systems. I have extensive experience in applying machine learning techniques to diverse areas such as signal processing, computer vision, communication systems, and industrial intelligent sensing. In addition to my research activities, I am actively involved in academic editorial and peer-review work. I currently serve as an Editorial Board Member of PLOS ONE and Scientific Reports, as well as a Guest Editor for Computers, Materials & Continua (CMC). I have also reviewed manuscripts for a broad range of international journals and conferences, including Information Processing & Management, Engineering Applications of Artificial Intelligence, Expert Systems with Applications, Measurement, and several IEEE Transactions. These experiences have provided me with broad interdisciplinary expertise and a strong understanding of research quality, methodological rigor, and emerging developments in artificial intelligence and machine learning.