2023 - Research.com Computer Science in Brazil Leader Award
2022 - Research.com Computer Science in Brazil Leader Award
2020 - IEEE Fellow For contributions to Internet of Things and vehicular communications
2011 - ACM Senior Member
His primary areas of study are Computer network, Distributed computing, Cloud computing, Wireless sensor network and The Internet. His research integrates issues of Energy consumption, Wireless ad hoc network and Smart grid in his study of Computer network. His work carried out in the field of Distributed computing brings together such families of science as Learning automata, Quality of service, Wireless Routing Protocol, Static routing and Scheduling.
His Cloud computing research integrates issues from Data access, Server and Big data. His biological study spans a wide range of topics, including Ubiquitous computing, Throughput, Key distribution in wireless sensor networks, Wireless network and Real-time computing. The various areas that Joel J. P. C. Rodrigues examines in his The Internet study include Computer security, Key, Software deployment and Mobile computing.
His main research concerns Computer network, Wireless sensor network, Distributed computing, Cloud computing and The Internet. Joel J. P. C. Rodrigues interconnects Wireless and Wireless network in the investigation of issues within Computer network. His study explores the link between Wireless sensor network and topics such as Energy consumption that cross with problems in Efficient energy use.
His Distributed computing research incorporates themes from Scheduling and Vehicular ad hoc network. The Cloud computing study combines topics in areas such as Quality of service, Server and Big data. As part of his studies on The Internet, Joel J. P. C. Rodrigues frequently links adjacent subjects like Computer security.
His scientific interests lie mostly in Artificial intelligence, Computer network, Computer security, Cloud computing and The Internet. Joel J. P. C. Rodrigues combines subjects such as Big data, Machine learning and Pattern recognition with his study of Artificial intelligence. The Computer network study which covers Smart grid that intersects with Energy management.
His Cloud computing research includes themes of Distributed computing and Server. His Distributed computing research includes elements of Energy consumption and Efficient energy use. His The Internet study frequently draws parallels with other fields, such as Security analysis.
His primary areas of investigation include Artificial intelligence, Cloud computing, Computer security, Distributed computing and Computer network. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Big data, Machine learning and Pattern recognition. His Cloud computing research focuses on Internet security and how it connects with Information privacy, Resilience and Key management.
He has researched Computer security in several fields, including Constrained Application Protocol and The Internet. His research in Distributed computing intersects with topics in Edge device, Energy consumption, Blockchain, Server and Efficient energy use. His Computer network study combines topics in areas such as Charging station, Vehicle-to-grid and Smart grid.
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.
Mobile-health
Bruno M.C. Silva;Joel J.P.C. Rodrigues;Isabel de la Torre Díez;Miguel López-Coronado.
Journal of Biomedical Informatics (2015)
Methodological ReviewMobile-health: A review of current state in 2015
Bruno M.C. Silva;Joel J.P.C. Rodrigues;Isabel de la Torre Díez;Miguel López-Coronado.
Journal of Biomedical Informatics (2015)
Wireless Sensor Networks: a Survey on Environmental Monitoring
Luís M. L. Oliveira;Joel J. P. C. Rodrigues.
Journal of Communications (2011)
Cloud Computing Applications for Smart Grid: A Survey
Samaresh Bera;Sudip Misra;Joel J.P.C. Rodrigues.
IEEE Transactions on Parallel and Distributed Systems (2015)
A novel deep learning based framework for the detection and classification of breast cancer using transfer learning
Sana Ullah Khan;Naveed Islam;Zahoor Jan;Ikram Ud Din.
Pattern Recognition Letters (2019)
From Delay-Tolerant Networks to Vehicular Delay-Tolerant Networks
Paulo Rogerio Pereira;Augusto Casaca;Joel J. P. C. Rodrigues;Vasco N. G. J. Soares.
IEEE Communications Surveys and Tutorials (2012)
GeoSpray: A geographic routing protocol for vehicular delay-tolerant networks
Vasco N. G. J. Soares;Joel J. P. C. Rodrigues;Farid Farahmand.
Information Fusion (2014)
Enabling Technologies for the Internet of Health Things
Joel J. P. C. Rodrigues;Dante Borges De Rezende Segundo;Heres Arantes Junqueira;Murilo Henrique Sabino.
IEEE Access (2018)
Edge Computing in the Industrial Internet of Things Environment: Software-Defined-Networks-Based Edge-Cloud Interplay
Kuljeet Kaur;Sahil Garg;Gagangeet Singh Aujla;Neeraj Kumar.
IEEE Communications Magazine (2018)
5G D2D Networks: Techniques, Challenges, and Future Prospects
Rafay Iqbal Ansari;Chrysostomos Chrysostomou;Syed Ali Hassan;Mohsen Guizani.
IEEE Systems Journal (2018)
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