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Bahar Farahani
Researcher at Shahid Beheshti University
Publications - 36
Citations - 1620
Bahar Farahani is an academic researcher from Shahid Beheshti University. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 9, co-authored 29 publications receiving 896 citations. Previous affiliations of Bahar Farahani include University of Tehran.
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Journal ArticleDOI
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Bahar Farahani,Farshad Firouzi,Victor Chang,Mustafa Badaroglu,Nicholas Constant,Kunal Mankodiya +5 more
TL;DR: It is proposed that this requires a transition from the clinic-centric treatment to patient-centric healthcare where each agent such as hospital, patient, and services are seamlessly connected to each other, and needs a multi-layer architecture.
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Internet-of-Things and big data for smarter healthcare: From device to architecture, applications and analytics
Farshad Firouzi,Amir M. Rahmani,Amir M. Rahmani,Kunal Mankodiya,Mustafa Badaroglu,Geoff V. Merrett,P. Wong,Bahar Farahani +7 more
TL;DR: The purpose of this special issue is to analyze the top concerns in IoT technologies that pertain to smart sensors for health care applications; particularly applications targeted at individualized tele-health interventions with the goal of enabling healthier ways of life.
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Keynote Paper: From EDA to IoT eHealth: Promises, Challenges, and Solutions
TL;DR: Although IoT eHealth has vastly expanded the possibilities to fulfill a number of existing healthcare needs, many challenges must still be addressed in order to develop consistent, suitable, safe, flexible, and power-efficient systems that are suitable fit for medical needs.
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The convergence of IoT and distributed ledger technologies (DLT): Opportunities, challenges, and solutions
TL;DR: A holistic reference architecture is presented as well as fundamentals, recent advancements, promises, and challenges in order to foster the investigations on cutting-edge research and allowing one to contribute to advancing the convergence of blockchain and IoT.
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The convergence and interplay of edge, fog, and cloud in the AI-driven Internet of Things (IoT)
TL;DR: This paper provides a comprehensive insight into the edge-fog-cloud computing paradigm by providing a blend of discussions on all important aspects of the underlying technologies to offer opportunities for more holistic studies and to accelerate knowledge acquisition.