Sandia Energy > Programs > Energy Storage > Staff > Rodrigo Trevizan Rodrigo D. Trevizan, Ph.D. Electrical Engineer Contact InformationRodrigo D. Trevizan / 505-382-3349 BiographyRodrigo D. Trevizan is a Senior Member of Technical Staff at Sandia National Laboratories. Rodrigo authored research papers on the subjects of control of energy storage systems and demand response for power grid stabilization, power system state estimation, and detection of nontechnical losses in distribution systems. Rodrigo received a B.S. and M.Sc. degree in Electrical Engineering from the Federal University of Rio Grande do Sul, Brazil, in 2012 and 2014, respectively, a M.Sc. in Power Systems Engineering from the Grenoble Institute of Technology (ENSE3) in 2011 and a Ph.D. in Electrical and Computer Engineering from the University of Florida in 2018. Education Ph.D., Electrical and Computer Engineering, University of Florida – 2018 Masters of Science, Electrical Engineering, Federal University of Rio Grande do Sul, Brazil – 2014 Bachelors of Science, Electrical Engineering, Federal University of Rio Grand do Sul, Brazil – 2012Bachelors of Science, Electrical Power Engineering, Grenoble Institute of Technology, France – 2011 Research Interests Battery Energy Storage Systems Security Power System State Estimation Techno-economic analysis of energy storage systems Renewable Energy Integration Stability of Power Systems Applications of Storage Systems Cyber-Physical Security of Power Systems Detection of Nontechnical Losses Machine Learning Demand-side Frequency Regulation Google Scholar:Rodrigo D. Trevizan Key Publications R.D. Trevizan, J. Obert, V. De Angelis, T.A. Nguyen, V.S. Rao and B.R. Chalamala, “Cyberphysical Security of Grid Battery Energy Storage Systems,” IEEE Access, vol. 10, pp. 59675-59722, 2022. M. Ayar, S. Obuz, R.D. Trevizan, A.S. Bretas, H.A. Latchman A Distributed Control Approach for Enhancing Smart Grid Transient Stability and Resilience IEEE Trans. Smart Grid, v. 8, p. 3035-3044, 2017, DOI: 10.1109/TSG.2017.2714982. R.R. Bhat, R.D. Trevizan, R. Sengupta, X. Li, A.S. Bretas Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning 2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, CA, 2016, pp. 272-279, DOI: 10.1109/ICMLA.2016.0052. R.D. Trevizan, A.S. Bretas, A. Rossoni Nontechnical Losses detection: A Discrete Cosine Transform and Optimum-Path Forest based approach 2015 North American Power Symposium (NAPS), Charlotte, NC, 2015, pp. 1-6, DOI: 10.1109/NAPS.2015.7335160. M. Ayar, R.D. Trevizan, S. Obuz, A. Bretas, H. Latchman, N. Bretas A Cyber-Physical Robust Control Framework for Enhancing Transient Stability of Smart Grids IET Cyber-Physical Systems: Theory & Applications, 2: 198-206, DOI: 10.1049/iet-cps.2017.0017.