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Samuel Fagbemi

Postdoctoral Research Associate - Large Scale Simulations

Dr. Samuel Fagbemi is a Postdoctoral Research Associate in the Multiscale Materials group at Oak Ridge National Laboratory (ORNL). He holds a bachelor's degree in Mechanical Engineering from Kwame Nkrumah University of Science and Technology in Ghana, and a Master of Science (MSc) degree from the University of Southern California (USC). He obtained his PhD in 2020 from the University of Wyoming. Before joining ORNL, he was a senior research scientist at the Center for Innovation for Flow Through Porous Media (COIFPM) in Fort Collins, CO and then a President’s Postdoctoral Fellow (PPFP) at the Woodruff School of Mechanical Engineering at Georgia Institute of Technology. His research focuses on multiphase fluid-structure interaction (MFSI) in porous media, catalytic dehydrogenation of alkanes and chemical vapor infiltration. He also has research interests in the application of advanced manufacturing and fluid mechanics in creating smart renewable packaging materials using digital twins, smart sensing technology, and artificial intelligence (AI). 

 

2024 - Present: R&D Staff, Multiscale Materials Group, Computational Sciences and Engineering Division, Oak Ridge National Laboratory

2022 - 2024: President's Postdoctoral Fellow, Woodruff School of Mechanical Engineering, Georgia Institute of Technology

2020 - 2022: Senior Research Scientist, Center of Innovation for Flow Through Porous Media, Fort Collins CO

2024: OLCF Distinguished Postdoc Award

2023: Rising Star in Mechanical Engineering, UC Berkeley

2022: President's Postdoctoral Fellowship Award (PPFP)

2019: Harry Hill Graduate Excellence Award, University of Wyoming

PhD:  Petroleum Engineering, University of Wyoming, 2020

MS:  Petroleum Engineering (Smart Oilfield Technologies), University of Southern California, 2013

BSE:  Mechanical Engineering, Kwame Nkrumah University of Science and Technology, Ghana, 2010

S. Fagbemi, M. Piri. Methods and Devices for Enhancement of Porous Media Images - U.S. Patent Application No. 18/239, 476