Time Series Research focuses on analyzing data collected over time to identify patterns, trends, and dependencies. It involves developing models and methods for forecasting, anomaly detection, and understanding temporal dynamics across various domains such as finance, healthcare, energy, and climate science. By leveraging statistical techniques and machine learning, time series research enables data-driven decision-making and predictive insights.