From Static Efficiency to Predictive Intelligence: A Review of Data Envelopment Analysis Integrated with Machine Learning
From Static Efficiency to Predictive Intelligence: The Story Behind a Decade of DEA–Machine Learning Research
About Temitope Kehinde
Kehinde Temitope is an interdisciplinary researcher and professional with a solid academic foundation in Industrial & Systems Engineering, complemented by extensive experience in data-driven research, smart manufacturing, machine learning, and financial analytics. His expertise lies in developing advanced decision support systems that integrate Data Envelopment Analysis (DEA), predictive analytics, portfolio optimization, and machine learning models for complex industrial, financial, and operational challenges. Throughout his academic and professional journey, he has demonstrated strong leadership, problem-solving, and project management capabilities, delivering impactful solutions in both academic and industry-driven settings. With proven experience across consulting, research, teaching, and collaborative industry projects, Kehinde Temitope is passionate about applying analytical rigor and innovative methodologies to optimize business processes, support informed decision-making, and contribute to sustainable organizational growth.
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