Seyi Oluwadare is a Ph.D. student in Mechanical Engineering at Clarkson University, United States, where his research focuses on computational fluid dynamics (CFD), large-eddy simulation (LES), and intelligent digital-twin frameworks for sustainable energy and smart manufacturing systems. His work integrates high-fidelity numerical modeling, physics-informed machine learning, and data-driven optimization to improve the performance of clean-energy technologies such as ducted wind turbines, advanced heat exchangers, and electronic cooling devices. With a dual degree in Mechanical Engineering specializing in Thermofluid and Computational Aerodynamics, and over a decade of experience across engineering design, energy systems, and process optimization, Seyi combines theoretical expertise with practical problem-solving in industrial and academic settings. He has authored and reviewed several peer-reviewed publications in leading international journals. He also serves as a senior reviewer for multiple journals and has contributed to editorial and technical evaluations in the fields of thermal sciences, energy systems, and intelligent manufacturing. Seyi is an active member of AIAA, ASME, and ASEE, and a fellow of NIPES and SASS, reflecting his strong engagement in professional and academic communities. His research aims to bridge human expertise and computational intelligence to develop human-in-the-loop digital engineering systems that accelerate innovation across energy, aerospace, and manufacturing domains. Beyond research, he is deeply involved in mentoring, leadership, and STEM advocacy, supporting collaborative research initiatives and student engagement in advanced simulation and digital-twin technologies.