Scholar
Mert Korkali
Google Scholar ID: mhw2hXUAAAAJ
Assistant Professor of Electrical Engineering, University of Missouri-Columbia
Citations & Impact
Citations
943
H-index
17
i10-index
21
Publications
20
Co-authors
16
list available
Publications
Resume (English only)
Academic Achievements
- Recipient of the Best Paper Award at the 2019 IEEE Power and Energy Society General Meeting (PESGM). Chair of the IEEE PES Task Force (TF) on Standard Test Cases for Power System State Estimation and Secretary of the IEEE PES TF on Power System Uncertainty Quantification and Uncertainty-Aware Decision-Making. Currently serves as an Editor of the IEEE Open Access Journal of Power and Energy and IEEE Power Engineering Letters and an Associate Editor of the Journal of Modern Power Systems and Clean Energy. Senior Member of IEEE.
Research Experience
- Worked as a Research Staff Member at Lawrence Livermore National Laboratory (LLNL) where he served as a principal investigator (PI) and co-PI on several projects on power grid operations and planning, solar-grid integration, and extreme event modeling, funded by the U.S. Department of Energy. Before that, he was a Postdoctoral Research Associate at the University of Vermont.
Education
- PhD from Northeastern University; MS from Northeastern University; BS from Bahçeşehir University.
Background
- Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Missouri. His research interests lie in power system state estimation, electromagnetic transient analysis, cascading failures, uncertainty quantification, and data-driven methods for power system operation, control, and planning.
Miscellany
- Technical focus includes uncertainty quantification methods for power grid operation, planning, and control applications, probabilistic risk/reliability assessment under rare events, network science and its applications to infrastructure networks, data-driven methods for decision making under uncertainty, multi-timescale simulation of power grid dynamics, cascading failures in interdependent critical infrastructure networks, power grid state estimation, fault identification and localization in power grids.
