Emmanuel Ogbe, Ph.D
About Emmanuel Ogbe, Ph.D
Emmanuel Ogbe, Ph.D., is an Optimization Research Engineer at ExxonMobil, specializing in modeling and optimization of electric vehicles to advance energy-efficient transportation.
Title
Emmanuel Ogbe, Ph.D, is an Optimization Research Engineer. He currently focuses on modeling and optimizing electric vehicles to advance energy-efficient transportation.
Current Position at ExxonMobil
Emmanuel Ogbe has been serving as an Optimization Research Engineer at ExxonMobil since 2019. His work is based in Houston, Texas, where he contributes to the company's efforts in energy-efficient transportation solutions.
Previous Roles and Experience
Emmanuel Ogbe has a diverse history in the field of research and engineering. He has worked as a Research Scientist at the National Energy Technology Laboratory from 2018 to 2019 in Greater Pittsburgh Area. Before that, he served as a Research Associate at Masdar Institute of Science and Technology in Abu Dhabi in two different stints (2018 and 2017-2018). Additionally, Ogbe was a Postdoctoral Research Fellow at the University of Waterloo from 2017 to 2018, and a Research Assistant and Graduate Teaching Assistant at Queen's University from 2012 to 2016. He also worked briefly as a Process Engineer at Ultimate Plastics Limited in 2011 and as an intern at Kaduna Refining and Petrochemicals Company in 2007.
Education and Expertise
Emmanuel Ogbe holds a Ph.D. in Process Systems Engineering from Queen's University, completed in 2016. He also obtained a Master's degree in Petroleum Engineering from the African University of Science and Technology in 2010, and a B.Eng in Chemical Engineering from Ahmadu Bello University in 2009. He specializes in developing decomposition-based algorithms for solving stochastic mixed-integer linear programming problems and focuses on global optimization issues with well-defined probabilistic uncertainty in Chemical Engineering.
Research and Contributions
Emmanuel Ogbe is deeply involved in dynamic modeling and optimization, particularly to enhance the efficiency and performance of complex systems. His work has significant implications in advancing energy-efficient transportation. Ogbe is continuously seeking novel and exciting research opportunities within the realm of advanced process systems engineering.