Olufemi A. Omitaomu is a Senior Research Scientist in the Geographic Information Science and Technology group where he leads and/or contributes to various projects within the Critical Infrastructure and Climate Change Impact research team. He is key contributor to several projects including VERDE/EARSS, CoNNECT, GLOBAL-Atlas, and OR-SAGE. Omitaomu is also a Joint ORNL-UT Associate Professor in the Department of Industrial and Systems Engineering at the University of Tennessee. His areas of research expertise include modeling impacts of extreme weather on power grids, energy infrastructure monitoring and optimization, predictive analytics and data mining, and energy geoinformatics. Omitaomu is the principal investigator for “Integrated Framework for Urban Climate Adaptation Tool (Urban-CAT).
Omitaomu received a B.S. degree in Mechanical Engineering from Lagos State University, Nigeria; a M.S. degree in Mechanical Engineering from the University of Lagos, Nigeria; and a Ph.D. degree in Information Engineering from the University of Tennessee, Knoxville. Prior to joining ORNL, Omitaomu was a post-doctoral research fellow in the Advanced Optimization Laboratory at McMaster University, Hamilton, Canada from February to October 2006. He was also a project engineer with Mobil Producing Nigeria between 1995 and 2000.
Omitaomu’s research has been supported by different agencies include the Department of Energy (DOE), Defense Advanced Research Projects Agency (DARPA), National Geospatial-Intelligence Agency (NGA), Electric Power Research Institute (EPRI), and the Department of Homeland Security (DHS). He is a member of Institute of Industrial Engineers (IIE), Institute of Electrical and Electronic Engineers (IEEE), Institute for Operations Research and the Management Sciences (INFORMS), and American Society of Mechanical Engineers (ASME). He is a reviewer for a number of high quality journals including several IEEE Transactions, Journal of Applied Intelligence, and International Journal of Distributed Sensor Networks. His papers have been published in top journals including Pattern Recognition, IEEE Transactions, and Applied Energy.