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Muhammad Faisal Amjad
Also published under:Muhammad Amjad, M. Faisal Amjad
Affiliation
National University of Science and Technology, (NUST), Islamabad, Pakistan
Topic
Internet Of Things,Deep Learning,Dynamic Analysis,Learning Algorithms,Static Analysis,API Calls,Android Devices,Convolutional Neural Network,Encrypted Data,File System,Heterogeneous Network,Information Security,Intrusion Detection,Intrusion Detection System,Long Short-term Memory,Long Short-term Memory Network,Machine Learning,Malware Detection,Management Of Events,Ransomware,Recurrent Neural Network,Registration Phase,Short-term Memory,System Calls,True Positive,Adjacent Clusters,Analysis Techniques,Android Application,Anomaly Detection,Anomaly Score,Application Behavior,Application Programming Interface,Application Server,Asynchronous Communication,Authentication Mechanism,Authentication Protocol,Authentication Scheme,Bidirectional Long Short-term Memory,Calculation Of Metrics,Call Graph,Class Instances,Cluster Centers,Collective Patterns,Communication Framework,Communication Performance,Computational Cost,Computer System,Confidentiality,Control Flow Graph,Convolutional Network,
Biography
Muhammad Faisal Amjad (Senior Member, IEEE) received the Ph.D. degree in computer science from the University of Central Florida, Orlando, FL, USA, in 2015.
He is currently an Associate Professor with the Department of Electrical Engineering, National University of Sciences and Technology, Islamabad, Pakistan, where he is also associated with the Center of Data and Text Engineering and Mining. His current research focusses on the application of machine learning and game theoretic techniques in the domains of IoT and network security, digital forensics, and malware analysis. He specializes in dynamic spectrum access and defense against security vulnerabilities in cognitive radio networks and wireless sensor and ad hoc networks.
He is currently an Associate Professor with the Department of Electrical Engineering, National University of Sciences and Technology, Islamabad, Pakistan, where he is also associated with the Center of Data and Text Engineering and Mining. His current research focusses on the application of machine learning and game theoretic techniques in the domains of IoT and network security, digital forensics, and malware analysis. He specializes in dynamic spectrum access and defense against security vulnerabilities in cognitive radio networks and wireless sensor and ad hoc networks.