M
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.
Papers
More filters
Journal ArticleDOI
Blockchain and Federated Deep Reinforcement Learning Based Secure Cloud-Edge-End Collaboration in Power IoT
Sunxuan Zhang,Zhao Wang,Zhenyu Zhou,Yan Wang,Hui Zhang,Geng Zhang,Huixia Ding,Shahid Mumtaz,Mohsen Guizani +8 more
TL;DR: A blockchain-empowered federated deep actor-critic-based task offloading algorithm to address the secure and low-latency computation offloading problem and the coupling between the long-term security constraint and short-term queuing delay optimization is decoupled by using Lyapunov optimization.
Proceedings ArticleDOI
CE-D2D: Dual Framework Chunks Caching and offloading in Collaborative Edge networks with D2D communication
TL;DR: To maximize the caching efficiency, the CE-D2D framework is formulated as a linear program, where MEC servers and users’ mobiles collaborate to cache and offload different chunks of the requested content constrained by cache and bandwidth availability.
Journal ArticleDOI
Low-Complexity Opportunistic Transmission Schemes for Multi-User Multi-Relay Asymmetric Bidirectional Relaying Networks
TL;DR: It is proved that the proposed suboptimal schemes perform closely to the traditional outage-optimal counterparts while with much lower implementation complexity, which provides valuable insights into practical BRNs.
Journal ArticleDOI
Answer Acquisition for Knowledge Base Question Answering Systems Based on Dynamic Memory Network
TL;DR: An answer acquisition method for KBQA systems based on a dynamic memory network is proposed, in which representation learning is employed to represent the natural language questions that are raised by users and the knowledge base subgraphs of the related entities.
Journal ArticleDOI
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions
TL;DR: A comprehensive overview of different aspects of AI and big data in Industry 4.0 with a particular focus on key applications, techniques, the concepts involved, key enabling technologies, challenges, and research perspective toward deployment of Industry 5.0 is provided.