Masoud Ahmadzadeh

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Affiliation

Security Research Center, Concordia University, Montreal, Canada

Topic

Center For Control,Data Injection Attacks,False Data Injection,False Data Injection Attacks,Information And Communication Technologies,Photovoltaic Panels,Photovoltaic System,Point Of Common Coupling,Voltage Measurements,Voltage Regulation,Attack Detection,Bus Voltage,Communication Technologies,Consensus Of Multi-agent Systems,Control Input,Control Protocol,Convolutional Neural Network,Convolutional Neural Network Framework,Convolutional Neural Network Method,Convolutional Neural Network Model,Cyber Attacks,Data Normalization,Data-driven Techniques,Deep Convolutional Neural Network,Deep Learning,Degree Matrix,Detection Framework,Distribution Grid,Distribution System,Double Integrator System,F1 Score,False Alarm,False Data,False Positive Samples,Filtering Process,Graph Theory,Industrial Internet Of Things,Injection Attacks,Inverter,Isolation Forest,Laplacian Matrix,Learning Algorithms,Loading Conditions,Logistic Regression Algorithm,Machine Learning Methods,Malicious Nodes,Maximum Power Point Tracking,Model-based Techniques,Multi-agent Systems,Multiple Integration,

Biography

Masoud Ahmadzadeh received the B.Sc. degree from Amirkabir University, in 2020, and the M.Sc. degree from Concordia University, in 2023. His research interests include cyber security and the application of machine learning in power systems.