O.A. (Femi) Omitaomu, Ph.D.

 

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Senior Research Scientist
Computational Sciences and Engineering Division
Oak Ridge National Laboratory
Oak Ridge, TN 37831-6017, USA.

Adjunct Faculty
Department of Industrial and Systems Engineering
University of Tennessee
Knoxville, TN 37996, USA.

Email: omitaomuoa@ornl.gov
Phone: 1-865-241-4310

Dr. Femi Omitaomu is a Senior Research Scientist at the Oak Ridge National Laboratory and an Adjunct Faculty in the Department of Industrial and Systems Engineering at the University of Tennessee. He received his Ph.D. degree from the University of Tennessee, Knoxville in May 2006, his M.S. degree in Mechanical Engineering from the University of Lagos, Nigeria in 1999, and his B.S. degree in Mechanical Engineering from Lagos State University, Nigeria in 1995.

Between 1995 and 2001, he was a project engineer with Mobil Producing Nigeria. During his Ph.D. program, he was a research assistant/teaching assistant/instructor in the Department of Industrial and Systems Engineering at the University of Tennessee. After his Ph.D., he was a post-doctoral research fellow at McMaster University, Hamilton, Canada from February to October 2006. He joined Oak Ridge National Laboratory in October 2006.

Current Projects

  • CoNNECT - Citizen ENgagement for ENergy Efficient CommuniTies
    • A novel geo-visual analytics for real-time home energy and grid management
  • OR-SAGE - Oak Ridge Siting Analysis for Power Generation Expansion
    • A map algebra and optimization approach for modeling potential land areas for siting future energy infrastructures and the implications of these areas for energy policies
  • Visual-SOLAR - Visualization of SOLAR Energy Potential for Distributed Generation
    • A modeling approach for estimating solar energy potentials on building rooftops and its application for residential and utility-scale distributed generations
  • PAES - Predictive Analytics for the Electricity Systems
    • Intelligent approaches for extracting hidden and useful insights from sensors data for real-time situational awareness of the electricity network systems
  • EARSS - Energy Awareness and Resiliency Standardized Services
    • A computational intelligence approach for monitoring, detecting, predicting, and reporting impacts of extreme events on the energy infrastructure and its interdependencies

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