University Campus

University campuses are increasingly becoming living laboratories for technological advancements, focusing on improving efficiency, safety, and the overall student experience. Current research emphasizes data-driven approaches, employing machine learning models like Convolutional LSTMs for energy grid forecasting and probabilistic mixture models for analyzing student behavior patterns (e.g., sleep habits). These studies leverage diverse data sources, including IoT sensor networks, campus-wide mobility data, and student activity logs, to optimize resource allocation, enhance autonomous navigation systems, and even detect academic misconduct. The resulting insights offer valuable contributions to both the scientific understanding of complex systems and the practical management of large-scale environments.