What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer network
- The Internet
M. Shamim Hossain spends much of his time researching Artificial intelligence, Computer security, Big data, Deep learning and Distributed computing.
The study incorporates disciplines such as Machine learning and Pattern recognition in addition to Artificial intelligence.
His research in Computer security intersects with topics in Analytics, Smart city and Internet privacy.
His Big data research is multidisciplinary, relying on both Home automation and Mobile telephony.
M. Shamim Hossain has researched Deep learning in several fields, including Convolutional neural network and Human–computer interaction.
His Distributed computing research includes elements of Wireless and Scalability.
His most cited work include:
- Cloud-assisted Industrial Internet of Things (IIoT) - Enabled framework for health monitoring (378 citations)
- A Survey on Sensor-Cloud: Architecture, Applications, and Approaches (270 citations)
- Cloud-Supported Cyber–Physical Localization Framework for Patients Monitoring (136 citations)
What are the main themes of his work throughout his whole career to date?
Artificial intelligence, Multimedia, Computer security, Computer network and Deep learning are his primary areas of study.
He combines subjects such as Big data, Machine learning and Pattern recognition with his study of Artificial intelligence.
The concepts of his Multimedia study are interwoven with issues in Services computing and World Wide Web, Mobile device.
His research in Computer security intersects with topics in Smart city and Internet privacy.
His Computer network research is multidisciplinary, incorporating perspectives in Wireless and The Internet.
While the research belongs to areas of Enhanced Data Rates for GSM Evolution, M. Shamim Hossain spends his time largely on the problem of Distributed computing, intersecting his research to questions surrounding Edge computing, Resource allocation and Scalability.
He most often published in these fields:
- Artificial intelligence (24.66%)
- Multimedia (17.47%)
- Computer security (16.44%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (24.66%)
- Deep learning (13.01%)
- Computer security (16.44%)
In recent papers he was focusing on the following fields of study:
M. Shamim Hossain mainly focuses on Artificial intelligence, Deep learning, Computer security, Enhanced Data Rates for GSM Evolution and Edge computing.
The Artificial intelligence study combines topics in areas such as Machine learning and Pattern recognition.
His Deep learning research integrates issues from Tree, Face detection and Attack model.
His The Internet research extends to Computer security, which is thematically connected.
His Enhanced Data Rates for GSM Evolution study combines topics from a wide range of disciplines, such as Distributed computing, Latency, Task, Mobile device and Privacy preserving.
His work carried out in the field of Edge computing brings together such families of science as Control, Scalability, Computer network and Data science.
Between 2019 and 2021, his most popular works were:
- Explainable AI and Mass Surveillance System-Based Healthcare Framework to Combat COVID-I9 Like Pandemics (46 citations)
- Energy-Aware Green Adversary Model for Cyberphysical Security in Industrial System (39 citations)
- Cervical cancer classification using convolutional neural networks and extreme learning machines (28 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Computer network
His primary areas of study are Artificial intelligence, Computer security, Deep learning, Edge computing and Enhanced Data Rates for GSM Evolution.
His Artificial intelligence research is mostly focused on the topic Convolutional neural network.
His work on Confidentiality as part of general Computer security study is frequently connected to Software deployment, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
As a part of the same scientific study, he usually deals with the Deep learning, concentrating on Tree and frequently concerns with Benchmark and Control.
M. Shamim Hossain has included themes like Scalability, Decision support system, Distributed computing and Data science in his Enhanced Data Rates for GSM Evolution study.
His work deals with themes such as Reliability, Computation offloading, Task, Mobile device and Packet loss, which intersect with Distributed computing.
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