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About

Ekene Cynthia Onukwulu is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, sustainability, and supply chain optimization. Her research addresses some of the most pressing challenges of the modern era, including reducing greenhouse gas emissions in logistics, advancing smart city infrastructure, and improving operational efficiency in critical industries such as oil and gas. Onukwulu's most influential contribution, "Big Data Analytics and AI for Optimizing Supply Chain Sustainability and Reducing Greenhouse Gas Emissions in Logistics and Transportation" (2024), has already garnered 30 citations, reflecting the timeliness and significance of her insights into real-time monitoring and predictive modeling for greener supply chains. Her subsequent work on AI-driven water usage and waste management in smart cities has attracted 18 citations, demonstrating her growing influence in environmental sustainability research. Spanning from smart warehousing innovations in the energy sector to automation-driven supply chain productivity in oil and gas, Onukwulu's portfolio reflects a consistent commitment to leveraging cutting-edge technology for sustainable industrial transformation. With a rapidly expanding body of work and accumulating citations, she represents a compelling voice for researchers interested in the future of intelligent, environmentally conscious resource management.