Research Gap

Research currently highlights several significant gaps across diverse scientific fields. These include the need for automated map updating using machine learning, improved methods for handling missing data, especially under complex missingness mechanisms, and bridging the disconnect between research and practical application in software engineering. Active research focuses on developing and applying machine learning models, including mixed-integer programming and explainable AI techniques, to address these challenges. Overcoming these gaps promises to improve the accuracy and efficiency of various applications, from urban planning and data analysis to educational tool development and scientific knowledge discovery.