Olufemi (Femi) A. Omitaomu
Phone: (865) 241-4310
Fax: (865) 241-6261
Applications of Statistical and Intelligent Techniques to Sensor-based Systems
Energy Systems Modeling and Analysis
Disaster Risk and Decision Analysis
PhD, Industrial and Information Engineering, University of Tennessee (2006).
MSc, Mechanical Engineering, University of Lagos, Nigeria (1999).
BSc, Mechanical Engineering, Lagos State University, Nigeria (1995).
July 2009 – Present, Research Scientist, Oak Ridge National Laboratory, Oak Ridge, Tennessee.
October 2009 – Present, Adjunct Faculty, Department of Industrial and Systems Engineering, University of Tennessee, Knoxville, Tennessee.
Oct. 2006 – July 2009, Post-Doctoral Research Associate, Oak Ridge National Laboratory, Oak Ridge, Tennessee.
Feb. 2006 – Sep. 2006, Post-Doctoral Fellow, Advanced Optimization Lab, McMaster University, Hamilton ON, Canada.
Jan. 2001– May 2006, Research Assistant, University of Tennessee, Department of Industrial and Information Engineering.
1995 – Jan 2001, Project Engineer, Exxon-Mobil Facilities in Nigeria.
- Engineering R&D Team Award, UT-Battelle, November 2009.
- ORNL Significant Event Award, August 2008
- Statistical Analysis and Data Mining with application to physical systems and critical infrastructure, energy systems modeling and analysis, disaster preparedness and emergency response.
Olufemi A. Omitaomu, Budhendra L. Bhaduri, Christopher S. Maness, Jeffrey B. Kodysh, and Amanda M. Noranzyk (2012). CoNNECT: Data Analytics for Energy Efficient Communities. Proceedings of 2012 ASME International Mechanical Engineering Congress and Exposition, November 9-15, Houston, Texas, USA.
Olufemi A. Omitaomu, Jeffrey B. Kodysh, and Budhendra L. Bhaduri (2012). Modeling and Analysis of Solar Radiation Potentials on Building Rooftops. Proceedings of 2012 ASME International Mechanical Engineering Congress and Exposition, November 9-15, Houston, Texas, USA.
Olufemi A. Omitaomu, Kyle L. Spafford, and Steven J. Fernandez (2012). A GPU-based Real-time Event Detection Framework for Power System Frequency Data Streams. Proceedings for Modeling, Simulation and Optimization for the 21st Century Electric Power Grid. October 21-25, Lake Geneva, Wisconsin, USA.
Olufemi A. Omitaomu, Alex Sorokine, and Varun Chandola (2012). Virtualization of the Evolving Power Grid. IEEE Smart Grid Newsletter, June.
Olufemi A. Omitaomu, Vladimir A. Protopopescu, and Auroop R. Ganguly (2011). Empirical Mode Decomposition Technique with Conditional Mutual Information for Denoising Operational Sensor Data. IEEE Sensors Journal, 11(10): 2565-2575.
Young-Seon Jeong, Myong K. Jeong, and Olufemi A. Omitaomu (2011). Weighted Dynamic Time Warping for Time Series Classification. Pattern Recognition, 44(9): 2231-2240.
Olufemi A. Omitaomu, Myong K. Jeong, and Adedeji B. Badiru (2011). On-line Support Vector Regression with Varying Parameters for Time-Dependent Data. IEEE Transactions on Systems, Man, and Cybernetics: Part A – Systems and Humans, 41(1): 191-197.
Yi Fang, Olufemi A. Omitaomu, and Auroop R. Ganguly (2010). Incremental Anomaly Detection Approach for Characterizing Unusual Profiles. Knowledge Discovery from Sensor Data Series, LNCS 5840: 190-202.
Omitaomu, O.A., Ganguly, A.R., Patton, B.W., & Protopopescu, V.A. (2009). Anomaly detection in radiation sensor data with application to transportation security. IEEE Transactions on Intelligent Transportation Systems, 10(2): 324-334.
Fernandez S.J., Rose, A.N., Bright, E.A., & Omitaomu, O.A. (2009). LandScan data sets for automating simulation set-up while accommodating multiple approaches within a flexible simulation platform. Presented at the Human Behavior-Computational Intelligence Modeling Conference, Oak Ridge, TN, June 23 - 24.
Ganguly, A.R., Gama,J., Omitaomu, O.A., Gaber, M.M., & Vatsavai, R.R. (2009). Knowledge Discovery from Sensor Data. New York, NY: CRC Press, January.
Ganguly, A.R., Omitaomu, O.A., & Walker, R.M. (2007). Knowledge discovery from sensor data for security applications. In: Gaber, M. and J. Gama (eds.), Learning from Data Streams – Processing Techniques in Sensor Networks: pp. 187-204, Springer-Verlag.
Ganguly, A.R., Fang, Y., Khan, S. & Omitaomu, O.A. (2007). Knowledge discovery from sensor data for scientific applications. In: Gaber, M. and J. Gama (eds.), Learning from Data Streams – Processing Techniques in Sensor Networks: pp. 205-229, Springer-Verlag.