An intelligent algorithm that relies on ensemble and representation learning to accurately detect and classify cyber attacks in smart power systems. The model also utilizes statistical methods to localize the attack to specific measurements (features) within the system.
Utilizing intelligent regression models to predict prices of AirBnB listings based on host-provided information. Such models can be used to recommend prices for new listings.
Heuristic algorithms, such as Genetic Algorithm and Particle Swarm Optimization, are used to select an ideal subset of features that can improve the classification accuracy and reduce training time of machine learning classifiers. Three heuristic algorithms are used along with three classifiers and tested in the application of cyber-attack detection in power systems.
Performed research and published papers for the Smart Cyber Physical Systems (SCPS) Lab and Cyber-science lab. Research interests are relevant to the use of AI in cyber-security.
Conducted labratory activities and tutorials for various engineering courses including Signal Processing, Control Theory, and Design.