Dr. Shah Mehmood Wagan is an emerging researcher with a growing scholarly footprint in the fields of artificial intelligence, innovation management, and sustainability. With a total of 13 published documents and 2 citations, his research demonstrates a developing impact across interdisciplinary domains. His work primarily focuses on the application of explainable artificial intelligence (XAI) to enhance transparency, decision-making, and performance in sectors such as project management, agriculture, and environmental systems. He has contributed to advancing knowledge on AI-driven green innovation, firm productivity, and financial performance, often employing robust econometric and analytical approaches such as GMM estimation. Despite an early-stage h-index of 1, his publications in reputable journals reflect strong research potential and relevance to contemporary challenges. His research trajectory highlights a commitment to integrating AI methodologies with sustainability and innovation to address complex real-world problems.