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Bio
He is especially interested in research into how to use a smartphone as a platform to deliver better healthcare. In collaboration with researchers at WPI and at UMass Medical School, he is currently working on NIH-funded research project to create a mobile application for chronic wound care management for patients with lower extremity and pressure ulcers. He is also working on a DARPA research project to use smartphone data and machine/deep learning to sense Traumatic Brain Injury (TBI) and infectious diseases early. He is also working on using machine learning and deep learning to sense when smartphone users are too drunk to drive in order to alert them. His research has been funded by the NSF, NIH, DARPA, the US department of education, US Army Research Labs, Google, Nvidia and AMD. His research has been published in various ACM and IEEE conferences.
Research Interests
Papers共 198 篇Author StatisticsCo-AuthorSimilar Experts
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Smart Healthpp.100459, (2024)
Palawat Busaranuvong,Emmanuel Agu, Deepak Kumar, Shefalika Gautam,Reza Saadati Fard,Bengisu Tulu,Diane Strong
CoRR (2024)
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IEEE open journal of engineering in medicine and biologyno. 99 (2023): 404-420
Walter Gerych, Kevin Hickey, Thomas Hartvigsen,Luke Buquicchio,Abdulaziz Alajaji,Kavin Chandrasekaran,Hamid Mansoor,Emmanuel Agu,Elke A. Rundensteiner
2023 IEEE International Conference on Big Data (BigData)pp.5223-5232, (2023)
IEEE SENSORS JOURNALno. 23 (2023): 29733-29748
ICDHpp.217-226, (2023)
APPLIED SCIENCES-BASELno. 1 (2023)
Visual Informaticsno. 2 (2023): 13-29
CoRR (2023)
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