Maryam Khanbaghi is the director of Power Systems and Sustainable Energy Program and associate professor in the Department of Electrical and Computer Engineering Before joining Santa Clara University, she was at Corning Inc. holding several positions in research, engineering and manufacturing. She created and led Corning’s first-ever advanced control group serving all Corning businesses with cutting-edge technology to improve quality while reducing costs. She also worked several years for Pulp and Paper Research Institute of Canada in Montreal and Vancouver as a research engineer where she worked on design and implementation of different estimation method and advanced control systems. She was the recipient of Technology All Star award in 2002. She was named among 88 of the U.S.’s “Brightest and Inventive Young Engineers” participating in the National Academy of Engineers, 2005 at the U.S. Frontiers of Engineering Symposium. She was awarded NSF CAREER award in 2023.
Education
- Ph.D. École Polytechnique, Montreal, Canada 1998
- M.Sc. École Polytechnique, Montreal, Canada 1993
- B.Sc. Universite de Nice-Sophia Antipolis, France 1990
Research
- Power systems stability
- Integration of renewable energy to the electric grid
- Stochastic control
- Process control
- Manufacturing optimization
Recent Publications
Khanbaghi and A. Zecevic, "An LMI-based Control Strategy for Large-Scale Systems with Applications to Interconnected Microgrid Clusters," IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3216290.
Khanbaghi and A. Zecevic, “Stochastic Distributed Control for Arbitrarily Connected Microgrid Clusters”, Energies, v 15, n 14, 5163, July 2022.
Zecevic and M. Khanbaghi, “A Parallelizable Algorithm for Stabilizing Large Sparse Linear Systems with Uncertain Interconnections”, IEEE Access, vol. 10, pp. 35888-35899, 2022.
Saleh Dinkhah, Johana Salazar Cuellar and Maryam Khanbaghi, “Optimal Power and Frequency Control of Microgrid Cluster with Mixed Loads”, IEEE Open Access Journal of Power and Energy, Feb 2022.
Courses Taught
Courses to be taught 2024-2025
- Introduction to Control Systems
- Introduction to Nonlinear Systems
- Model Predictive Control
- Linear Control Systems
- Power System Analysis
- Power System Stability and Control
- Linear Systems
- Circuit 1
For a list of Electrical Engineering course descriptions, visit the Undergraduate Course Descriptions page or the Graduate Course Descriptions page.
2025-2026
Introduction to Control System, Linear Control System, Linear Systems
