Research Director
Education
- PhD., Virginia Tech, 2001
- MSc., University of Sao Paulo, 1998
- BSc., University of Sao Paulo, 1995
Research
Dr. Bretas is currently a Distinguished Member of Technical Staff with Sandia National Laboratories. He is a CNRS Research Director with the Université Grenoble Alpes and a Courtesy Full Professor with the University of Florida.
Dr. Bretas supports a variety of projects related to the development of models, processes and tools for the Electric Energy Infrastructure Security, through Grid Control and Energy Storage. Towards achieving these goals, Dr. Bretas current research lies on the general theme of Distributed Wide-Area Measurement Systems Applications in Cyber-Physical Systems (CPS).
Dr. Bretas has worked as a PI/Co-PI on many R&D projects with the Power Industry. These projects concern, for example, CPS Cybersecurity, Artificial Intelligence and Machine Learning, Distributed Optimization and Control, Power System Stability and Real-Time Monitoring, Distribution Systems Reliability Optimization and Expansion Planning under Uncertain Operation Scenarios.
Dr. Bretas has published many papers on peer-reviewed conferences and journals, as well as a textbook on Cyber-Physical Power Systems State Estimation.
Dr. Bretas supports a variety of projects related to the development of models, processes and tools for the Electric Energy Infrastructure Security, through Grid Control and Energy Storage. Towards achieving these goals, Dr. Bretas current research lies on the general theme of Distributed Wide-Area Measurement Systems Applications in Cyber-Physical Systems (CPS).
Dr. Bretas has worked as a PI/Co-PI on many R&D projects with the Power Industry. These projects concern, for example, CPS Cybersecurity, Artificial Intelligence and Machine Learning, Distributed Optimization and Control, Power System Stability and Real-Time Monitoring, Distribution Systems Reliability Optimization and Expansion Planning under Uncertain Operation Scenarios.
Dr. Bretas has published many papers on peer-reviewed conferences and journals, as well as a textbook on Cyber-Physical Power Systems State Estimation.
Publications
Research Team
Keywords :
State Estimation, Artificial Intelligence, Machine Learning, Formal Mathematical Models
Adress
G2Elab
Bâtiment GreEn-ER
21 avenue des martyrs
CS 90624
38031 Grenoble Cedex 1, France
Office: 5-A-021
Tél: +33 (0)4 76 82 63 02
Bâtiment GreEn-ER
21 avenue des martyrs
CS 90624
38031 Grenoble Cedex 1, France
Office: 5-A-021
Tél: +33 (0)4 76 82 63 02