MechE Colloquium: Learning of Complex Dynamical Systems in Adversarial Environments with Applications to Power Systems
Event details
| Date | 20.05.2025 |
| Hour | 12:00 › 13:00 |
| Speaker | Prof. Javad Lavaei, Industrial Engineering and Operations Research, University of California, Berkeley |
| Location | Online |
| Category | Conferences - Seminars |
| Event Language | English |
Abstract: To improve the efficiency, resiliency, and sustainability of power systems and to address climate change issues, the operation of power systems is becoming data centric. Major operational problems, such as security-constrained optimal power flow, contingency analysis, and transient stability analysis, rely on the knowledge extracted from sensory data. The manipulation of the data by a malicious actor can tamper with the operation of the grid, whose consequences are catastrophic physical damages to the equipment and cascading failures. Data-driven operation goes beyond power systems and applies to driverless cars and many other applications. In this talk, we first discuss the vulnerability of complex systems to cyberattacks and faults, and then study how to learn the model of a complex system in an adversarial environment and detect possible attacks simultaneously. We develop different types of attack detection algorithms and learning mechanisms and demonstrate their performances on real-world data. We show that it is possible to learn the model of a complex dynamical system in finite time even when the system is under attack at almost all times.
Biography: Javad Lavaei is an Associate Professor at the University of California, Berkeley. He has won several awards, including the Presidential Early Career Award for Scientists and Engineers given by the White House, DARPA Young Faculty Award, Office of Naval Research Young Investigator Award, Air Force Office of Scientific Research Young Investigator Award, NSF CAREER Award, DARPA Director's Fellowship, Office of Naval Research's Director of Research Early Career Grant, and Google Faculty Award. Javad Lavaei is a senior editor of the IEEE Systems Journal and has served on the editorial boards of the IEEE Transactions on Automatic Control, IEEE Transactions on Control of Network Systems, IEEE Transactions on Smart Grid, and IEEE Control Systems Letters. Javad Lavaei is a recipient of 2015 INFORMS Optimization Society Prize for Young Researchers, 2016 Donald P. Eckman Award given by the American Automatic Control Council, 2016 INFORMS ENRE Energy Best Publication Award, 2017 SIAM Control and Systems Theory Prize, 2020 Journal of Global Optimization Best Paper Award, and 2022 Antonio Ruberti Young Researcher Prize. He has received over 10 best paper awards from the Control Systems Society, INFORMS, and Power & Energy Society. Javad Lavaei is a Fellow of IEEE.
Biography: Javad Lavaei is an Associate Professor at the University of California, Berkeley. He has won several awards, including the Presidential Early Career Award for Scientists and Engineers given by the White House, DARPA Young Faculty Award, Office of Naval Research Young Investigator Award, Air Force Office of Scientific Research Young Investigator Award, NSF CAREER Award, DARPA Director's Fellowship, Office of Naval Research's Director of Research Early Career Grant, and Google Faculty Award. Javad Lavaei is a senior editor of the IEEE Systems Journal and has served on the editorial boards of the IEEE Transactions on Automatic Control, IEEE Transactions on Control of Network Systems, IEEE Transactions on Smart Grid, and IEEE Control Systems Letters. Javad Lavaei is a recipient of 2015 INFORMS Optimization Society Prize for Young Researchers, 2016 Donald P. Eckman Award given by the American Automatic Control Council, 2016 INFORMS ENRE Energy Best Publication Award, 2017 SIAM Control and Systems Theory Prize, 2020 Journal of Global Optimization Best Paper Award, and 2022 Antonio Ruberti Young Researcher Prize. He has received over 10 best paper awards from the Control Systems Society, INFORMS, and Power & Energy Society. Javad Lavaei is a Fellow of IEEE.
Practical information
- General public
- Free