Progress Monitoring

Progress monitoring research focuses on accurately and efficiently tracking the advancement of processes, spanning diverse fields from machine learning model training to construction project management and student academic performance. Current efforts involve developing novel progress measures, often leveraging machine learning techniques like deep neural networks and ensemble methods, to analyze complex data streams (e.g., video, sensor data) and predict future progress. These advancements offer significant potential for improving efficiency and decision-making across various sectors, from optimizing industrial processes to enhancing educational interventions and ensuring safer construction practices.