Gal Morgenstern
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Gal Morgenstern |
I am a Ph.D student in the school of electrical and computer engeneering in Ben-Gurion University of the Negev.
I am part of Prof. Tirza Routtenberg's lab that specializes in signal processing and optimization with applications in power systems.
In my M.Sc. studies, I focused on anomaly detection in power systems.
Previously, in my BS.c. I majored in signal processing and communications.
Since 2018, I am posing as a teaching assistant in the signal processing introductory course.
Current Research Interests
Statistical graph signal processing with applications in smart grid:
Monitoring power system, state estimation, event detection
Power system cyber-security
Estimation after selection for graphical models
Sparse recovery for graphical models
Awards
Israeli Ministry of Science and Technology scholarship for excellent Ph.D. students (Jan 2020-Dec 2023)
Negev scholarship for excellent Ph.D. students (Sep 2019-Oct 2023)
M.Sc. graduation as part of the "Master degree direct track" program for excellent students which combines the undergraduate degree last year with the second-degree first year
B.Sc. graduation Cum Laude
Publications
G.Morgenstern and T. Routtenberg, "Structural-constrained Methods for the Identification of False Data Injection Attacks in Power Systems", submitted to IEEE Trans. Signal Processing https://arxiv.org/abs/2003.08715
G. Morgenstern and T. Routtenberg, "Algorithms for Sparse Recovery from a Graph Filter Output",in preparation, to be submitted to IEEE Trans. Signal Processing
G. Morgenstern and T. Routtenberg, "Network Constraints Against Cyber-attacks in Power Systems", 2019 Graph Signal Processing Workshop, University of Minnesota during June 5-7th, 2019 (Extended abstract)