His primary areas of investigation include Data mining, Artificial intelligence, Identification, Computer security and Wearable computer. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His study on Identification also encompasses disciplines like
His work on Encryption, Data security and Information privacy as part of general Computer security study is frequently linked to Digital watermarking, therefore connecting diverse disciplines of science. His research on Encryption also deals with topics like
His scientific interests lie mostly in Computer network, Computer security, Data mining, Artificial intelligence and Distributed computing. His study looks at the intersection of Computer network and topics like The Internet with XML, SOAP, Web service and Private network. In general Computer security, his work in Encryption, Information privacy, Authentication and Anonymity is often linked to Service provider linking many areas of study.
He has included themes like Hidden Markov model and Cluster analysis in his Data mining study. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Computer vision and Pattern recognition. The various areas that Ibrahim Khalil examines in his Distributed computing study include Overlay network, Scalability and Service.
His primary scientific interests are in Computer security, Computer network, Authentication, Blockchain and Scalability. His studies in Computer network integrate themes in fields like Enhanced Data Rates for GSM Evolution and Vehicular ad hoc network. His Scalability study combines topics in areas such as Network performance, Node and Big data.
His Big data study deals with the bigger picture of Data mining. His Service research is multidisciplinary, incorporating perspectives in Distributed computing, Differential privacy and Artificial intelligence. His research in Distributed computing intersects with topics in Homomorphic encryption and Server.
Ibrahim Khalil mostly deals with Data mining, Scalability, Big data, Distributed computing and Differential privacy. He interconnects Security analysis, Lossless compression and Information privacy in the investigation of issues within Data mining. Ibrahim Khalil combines subjects such as Kalman filter, Statistical classification, Mixture model and Data classification with his study of Information privacy.
His work deals with themes such as Cryptosystem, Algorithm, Analytics and Data stream mining, which intersect with Scalability. His work carried out in the field of Big data brings together such families of science as Homomorphic encryption and Encryption. The concepts of his Distributed computing study are interwoven with issues in Feature, Deep learning, Convolutional neural network, Artificial intelligence and Service.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
Adil Fahad;Najlaa Alshatri;Zahir Tari;Abdullah Alamri.
IEEE Transactions on Emerging Topics in Computing (2014)
Wavelet-Based ECG Steganography for Protecting Patient Confidential Information in Point-of-Care Systems
Ayman Ibaida;Ibrahim Khalil.
IEEE Transactions on Biomedical Engineering (2013)
CoCaMAAL: A cloud-oriented context-aware middleware in ambient assisted living
Abdur Forkan;Abdur Forkan;Ibrahim Khalil;Ibrahim Khalil;Zahir Tari.
grid computing (2014)
A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living
Abdur Rahim Mohammad Forkan;Ibrahim Khalil;Zahir Tari;Sebti Foufou.
Pattern Recognition (2015)
Diagnosis of Cardiovascular Abnormalities From Compressed ECG: A Data Mining-Based Approach
F Sufi;I Khalil.
international conference of the ieee engineering in medicine and biology society (2011)
An unsupervised anomaly-based detection approach for integrity attacks on SCADA systems
Abdulmohsen Almalawi;Abdulmohsen Almalawi;Xinghuo Yu;Zahir Tari;Adil Fahad;Adil Fahad.
Computers & Security (2014)
Novel methods of faster cardiovascular diagnosis in wireless telecardiology
F. Sufi;Qiang Fang;I. Khalil;S.S. Mahmoud.
IEEE Journal on Selected Areas in Communications (2009)
BDCaM: Big Data for Context-Aware Monitoring—A Personalized Knowledge Discovery Framework for Assisted Healthcare
Abdur Rahim Mohammad Forkan;Ibrahim Khalil;Ayman Ibaida;Zahir Tari.
IEEE Transactions on Cloud Computing (2017)
Toward an efficient and scalable feature selection approach for internet traffic classification
Adil Fahad;Zahir Tari;Ibrahim Khalil;Ibrahim Habib.
Computer Networks (2013)
Virtual Private Network Architecture
T. Braun;M. Günter;M. Kasumi;I. Khalil.
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