About
Moshfeka Rahman is a Research Fellow at the University of Waterloo. Her work focuses on enhancing cybersecurity in smart grids through adversarial artificial intelligence and optimization techniques. She investigates methods to detect and mitigate false data injection attacks in power systems, contributing to the resilience of critical infrastructure.
Research interests include cybersecurity, smart grid security, adversarial machine learning, and optimization algorithms. Her work addresses vulnerabilities in cyber-physical systems and develops robust defense mechanisms against sophisticated attacks.
Lacking information on academic advising or grants, but her research emphasizes undetectable attack analysis and resource-constrained scenarios in smart grid security.
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