The scientist’s investigation covers issues in Cloud computing, Distributed computing, Computer network, Server and Wireless sensor network. He combines subjects such as Virtual machine, Resource allocation, Computer security, Multimedia and Human–computer interaction with his study of Cloud computing. His Distributed computing research is multidisciplinary, relying on both Event monitoring and Reinforcement learning.
His research on Computer network often connects related topics like Computer security model. His research in Server intersects with topics in Distributed database, Cloud storage, Secret sharing, Smart city and Mobile device. His Wireless sensor network study incorporates themes from Automation, Sensor web, Key distribution in wireless sensor networks, Mobile wireless sensor network and Software.
His primary areas of study are Cloud computing, Computer network, Distributed computing, Artificial intelligence and Wireless sensor network. Mohammad Mehedi Hassan focuses mostly in the field of Cloud computing, narrowing it down to topics relating to Computer security and, in certain cases, Cloud computing security. His biological study spans a wide range of topics, including Wireless and Throughput.
His research integrates issues of Scheduling, Edge computing and Dynamic pricing in his study of Distributed computing. His work deals with themes such as Machine learning and Pattern recognition, which intersect with Artificial intelligence. The concepts of his Wireless sensor network study are interwoven with issues in Key distribution in wireless sensor networks, Real-time computing and Cluster analysis.
Mohammad Mehedi Hassan spends much of his time researching Artificial intelligence, Deep learning, Cloud computing, Distributed computing and Enhanced Data Rates for GSM Evolution. As a part of the same scientific study, Mohammad Mehedi Hassan usually deals with the Artificial intelligence, concentrating on Machine learning and frequently concerns with The Internet and Brain–computer interface. He has included themes like Segmentation, Data mining, Wearable computer, Activity recognition and Real-time computing in his Deep learning study.
His studies deal with areas such as Latency, Human–computer interaction, Data center, Reference model and Mobile device as well as Cloud computing. His Distributed computing research includes themes of Testbed, Quality of experience and SCADA. He has researched Enhanced Data Rates for GSM Evolution in several fields, including Software and Software engineering.
Mohammad Mehedi Hassan mainly focuses on Artificial intelligence, Deep learning, Cloud computing, Distributed computing and Artificial neural network. His work in Artificial intelligence tackles topics such as Machine learning which are related to areas like Benchmark. His Deep learning research includes elements of Upgrade, Computation, Convolutional neural network and Data mining.
His Cloud computing research incorporates elements of Closed loop, Quality of experience, Enhanced Data Rates for GSM Evolution, Data center and Server. His Distributed computing research integrates issues from SCADA and Dynamic pricing. In his study, Scalability is strongly linked to Computer network, which falls under the umbrella field of Computation offloading.
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.
Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data
Yin Zhang;Meikang Qiu;Chun-Wei Tsai;Mohammad Mehedi Hassan.
IEEE Systems Journal (2017)
A Survey on Sensor-Cloud: Architecture, Applications, and Approaches
Atif Alamri;Wasai Shadab Ansari;Mohammad Mehedi Hassan;M. Shamim Hossain.
International Journal of Distributed Sensor Networks (2013)
A framework of sensor-cloud integration opportunities and challenges
Mohammad Mehedi Hassan;Biao Song;Eui-Nam Huh.
international conference on ubiquitous information management and communication (2009)
Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart Buildings
Kai Lin;Min Chen;Jing Deng;Mohammad Mehedi Hassan.
IEEE Transactions on Automation Science and Engineering (2016)
AIWAC: affective interaction through wearable computing and cloud technology
Min Chen;Yin Zhang;Yong Li;Mohammad Mehedi Hassan.
IEEE Wireless Communications (2015)
Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System
Jemal H. Abawajy;Mohammad Mehedi Hassan.
IEEE Communications Magazine (2017)
Efficient service recommendation system for cloud computing market
Seung-Min Han;Mohammad Mehedi Hassan;Chang-Woo Yoon;Eui-Nam Huh.
international conference on information systems (2009)
Secure Distributed Deduplication Systems with Improved Reliability
Jin Li;Xiaofeng Chen;Xinyi Huang;Shaohua Tang.
IEEE Transactions on Computers (2015)
A Survey on Virtualization of Wireless Sensor Networks
Md. Motaharul Islam;Mohammad Mehedi Hassan;Ga-Won Lee;Eui-Nam Huh.
A multimedia healthcare data sharing approach through cloud-based body area network
Mohammad Mehedi Hassan;Kai Lin;Xuejun Yue;Jiafu Wan.
Future Generation Computer Systems (2017)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: