I have been actively involved in numerous research projects pertaining to deep learning-based time series forecasting, including but not limited to, Infectious Disease Forecasting, Short-term Export and Import Forecasting, and Demand Forecasting for Postal Delivery Service. My research interests are primarily focused on the development of adaptive deep learning models and their applications across several domains, including financial, medical informatics, and public health informatics. I am passionate about leveraging the power of deep learning techniques to solve complex problems in these domains, and have consistently demonstrated my expertise through various publications in reputable journals and conferences. I am dedicated to continuously expanding my knowledge and skills in the field of deep learning, and am committed to staying at the forefront of emerging trends and techniques. Through my research and academic pursuits, I strive to make meaningful contributions to the field of data science and to advance our understanding of deep learning and its applications.