Operations Research traditionally relies on mathematical modeling and optimization algorithms to solve complex problems. Operations Research (OR) has long been a cornerstone in optimizing decision-making processes, resource allocation, and efficiency improvements across diverse industries. Deep Learning, a subset of machine learning inspired by the human brain's neural networks, introduces a paradigm shift by enabling systems to learn and make decisions from data. The synergy between these two fields holds immense potential for addressing the intricate challenges faced by industries today. In recent years, the integration of Deep Learning (DL) techniques has emerged as a transformative force, pushing the boundaries of what's possible within the realm of Operations Research. The edited book entitled "Deep Learning Approaches in Operations Research" delves into the multifaceted landscape of Deep Learning Approaches in Operations Research, exploring their applications, challenges, and the promising avenues they open for innovation.