K
Kunal Mankodiya
Researcher at University of Rhode Island
Publications - 122
Citations - 2922
Kunal Mankodiya is an academic researcher from University of Rhode Island. The author has contributed to research in topics: Cloud computing & Computer science. The author has an hindex of 23, co-authored 105 publications receiving 2183 citations. Previous affiliations of Kunal Mankodiya include University of Lübeck & Indian Institute of Science.
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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.
Proceedings ArticleDOI
Wearable Internet of Things: Concept, architectural components and promises for person-centered healthcare
TL;DR: The building blocks of WIoT-including wearable sensors, internet-connected gateways and cloud and big data support-that are key to its future success in healthcare domain applications are discussed.
Journal ArticleDOI
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.
Proceedings ArticleDOI
Fit: A Fog Computing Device for Speech Tele-Treatments
TL;DR: The results showed the efficacy of FIT as a Fog interface to translate the clinical speech processing chain (CLIP) from a cloud-based backend to a fog-based smart gateway.
Proceedings ArticleDOI
Smart fog: Fog computing framework for unsupervised clustering analytics in wearable Internet of Things
TL;DR: In this article, a low-resource machine learning on fog devices kept close to wearables for smart telehealth was proposed for analyzing pathological speech data obtained from smart watches worn by patients with Parkinson's disease.