Chronic Obstructive Pulmonary Disease (COPD) is a long-term lung disease that causes obstructed airflow, leading to breathing difficulties, reduced quality of life, and increased healthcare costs. Predicting the onset, progression, and exacerbation of COPD using Deep Learning (DL) methods can revolutionize early diagnosis and personalized treatment, improving patient outcomes.Deep Learning offers significant potential in transforming the prediction, diagnosis, and management of Chronic Obstructive Pulmonary Disease (COPD). The above PhD project ideas focus on leveraging deep learning for a range of tasks, from early diagnosis and risk prediction to personalized treatment and real-time exacerbation forecasting. These projects offer exciting opportunities to improve COPD patient outcomes by applying state-of-the-art machine learning techniques to one of the most prevalent chronic diseases worldwide.