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Mohsen Guizani

Researcher at Qatar University

Publications -  1337
Citations -  48275

Mohsen Guizani is an academic researcher from Qatar University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 79, co-authored 1110 publications receiving 31282 citations. Previous affiliations of Mohsen Guizani include Jaypee Institute of Information Technology & University College for Women.

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Proceedings ArticleDOI

Classification for Imperfect EEG Epileptic Seizure in IoT applications: A Comparative Study

TL;DR: A comparative study for several classification techniques and the effect of uncertainty in the EEG data on the classification accuracy is demonstrated and some statistical features extracted to characterize the complete EEG data feeding to these two classifiers are described.
Journal ArticleDOI

Adversarial Attacks Against Profile HMM Website Fingerprinting Detection Model

TL;DR: By migrating the problem of adversarial samples in deep learning, this approach is used for the broader machine learning detection model to do traffic confusion, and then achieves the purpose of bypassing the Profile HMM model detection.
Journal ArticleDOI

QuicTor: Enhancing Tor for Real-Time Communication Using QUIC Transport Protocol

TL;DR: QuicTor as discussed by the authors is a datagram-based design to solve Tor's transport layer limiting issue, which has gained quite a good reputation over the past years and is being adopted by thousands of users.
Proceedings ArticleDOI

Intelligent Cooperative Health Emergency Response System in Autonomous Vehicles

TL;DR: A cooperative healthcare emergency response framework has been proposed that employs in-vehicle intelligent health monitoring and local networks for AV to minimize the time to receive emergency treatment for passengers with abnormal health conditions.
Journal ArticleDOI

GREEN: A Global Energy Efficiency Maximization Strategy for Multi-UAV Enabled Communication Systems

TL;DR: In this paper , the authors proposed a global energy efficiency maximization (GREEN) strategy for multi-UAV enabled communication systems, where a group of UAVs communicates with their associated ground terminals (GTs) by using a UAV-enabled interference channel (UAV-IC).