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Onur Onel
Texas A&M University
Onur Onel's research has made significant contributions to the fields of energy systems engineering, chemical process synthesis, and optimization. Their work focuses on developing data-driven stochastic optimization methods for solving complex differential algebraic equations in various industrial processes, including the steam cracking process and natural gas-to-liquids (GTL) production. By integrating machine learning techniques with global optimization algorithms, Onel's research aims to improve the efficiency and sustainability of energy systems. The applications of their work range from designing energy-intelligent tax policies to developing supply chain management frameworks for municipal solid waste-to-liquid transportation fuels, highlighting the importance of optimizing energy production and consumption patterns for a more environmentally friendly future.