What is he best known for?
The fields of study he is best known for:
- Computer network
- Artificial intelligence
- The Internet
His scientific interests lie mostly in Computer network, Computer security, Wireless, Cloud computing and Wireless sensor network.
His Computer network research is multidisciplinary, incorporating perspectives in Distributed computing, Energy consumption, Wireless ad hoc network, Wireless network and Efficient energy use.
His research integrates issues of Cloud computing security and Smart grid in his study of Computer security.
In his study, Service, Scheduling, Bandwidth and Mobile radio is strongly linked to Quality of service, which falls under the umbrella field of Wireless.
His Cloud computing research includes elements of Provisioning, Data science and Big data.
The various areas that he examines in his Data science study include The Internet and World Wide Web.
His most cited work include:
- Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications (3553 citations)
- 5G wireless backhaul networks: challenges and research advances (459 citations)
- An effective key management scheme for heterogeneous sensor networks (431 citations)
What are the main themes of his work throughout his whole career to date?
Mohsen Guizani mainly focuses on Computer network, Computer security, Wireless, Cloud computing and Distributed computing.
In his study, which falls under the umbrella issue of Computer network, Communication channel is strongly linked to Throughput.
Wireless is a subfield of Telecommunications that Mohsen Guizani investigates.
His Cloud computing study frequently links to other fields, such as Server.
Mohsen Guizani interconnects Resource allocation and Efficient energy use in the investigation of issues within Distributed computing.
His Wireless sensor network research incorporates themes from Energy consumption and Key distribution in wireless sensor networks.
He most often published in these fields:
- Computer network (38.67%)
- Computer security (15.91%)
- Wireless (15.62%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer network (38.67%)
- Computer security (15.91%)
- Artificial intelligence (8.49%)
In recent papers he was focusing on the following fields of study:
Mohsen Guizani spends much of his time researching Computer network, Computer security, Artificial intelligence, Cloud computing and The Internet.
The study incorporates disciplines such as Wireless and Vehicular ad hoc network in addition to Computer network.
Mohsen Guizani has researched Wireless in several fields, including Transmission and Communication channel.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
Cloud computing and Distributed computing are frequently intertwined in his study.
His Distributed computing study combines topics from a wide range of disciplines, such as Scalability, Efficient energy use and Leverage.
Between 2019 and 2021, his most popular works were:
- A Comprehensive Review of the COVID-19 Pandemic and the Role of IoT, Drones, AI, Blockchain, and 5G in Managing its Impact (160 citations)
- A Survey of Machine and Deep Learning Methods for Internet of Things (IoT) Security (91 citations)
- A Distributed Deep Learning System for Web Attack Detection on Edge Devices (72 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
His main research concerns Computer network, Computer security, The Internet, Artificial intelligence and Cloud computing.
His work carried out in the field of Computer network brings together such families of science as Wireless and Vehicular ad hoc network.
Mohsen Guizani works mostly in the field of Computer security, limiting it down to concerns involving Smart grid and, occasionally, Overhead.
His work in The Internet addresses issues such as Scalability, which are connected to fields such as Distributed computing.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Field, Machine learning and Smart city.
His Cloud computing study incorporates themes from Network architecture, Scheduling, Server and Data science.
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