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Saif Al-Kuwari
Also published under:Saif M. Al-Kuwari
Affiliation
College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar
Topic
Internet Of Things,Types Of Attacks,Anomaly Detection,Internet Of Things Devices,Machine Learning Models,Neural Network,Physical Layer,Quantum Computing,Quantum State,Unmanned Aerial Vehicles,Communication Protocol,Communication Systems,Entangled State,Federated Learning,Internet Of Things Networks,Intrusion Detection,Intrusion Detection System,Learning Algorithms,Malicious Nodes,Noise Power,Physical Layer Security,Public Key,Quantum Algorithms,Quantum Circuit,Quantum Gates,Quantum Information,Secrecy Capacity,Secret Key,Smart Grid,Threat Model,Underwater Communication,Wireless Networks,Angle Of Arrival,Authentication Protocol,Autonomous Underwater Vehicles,Average Signal-to-noise Ratio,Base Station,Bell States,Carrier Frequency,Channel State Information Estimation,Classical Computer,Communication Cost,Communication Network,Communication Overhead,Computational Overhead,Convolutional Neural Network,Cost Function,Data Rate,Decoding,Deep Learning,
Biography
Saif Al-Kuwari (Senior Member, IEEE) received the Bachelor of Engineering degree in computers and networks from the University of Essex, Essex, U.K., in 2006 and the two Ph.D. degrees in computer science from the University of Bath, Bath, U.K. and Royal Holloway, University of London, Egham, U.K., both in 2012.
He is currently an Assistant Professor with the College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. His research interests include applied cryptography, quantum computing, computational forensics, and their connections with machine learning.
Dr. Al-Kuwari is a Fellow of the Institution of Engineering and Technology and British Computer Society, and a Senior Member of the Association for Computing Machinery.
He is currently an Assistant Professor with the College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar. His research interests include applied cryptography, quantum computing, computational forensics, and their connections with machine learning.
Dr. Al-Kuwari is a Fellow of the Institution of Engineering and Technology and British Computer Society, and a Senior Member of the Association for Computing Machinery.