Emmanuel Agu is currently a professor in the computer science department at WPI having received his Masters and PhD in electrical and computer engineering at the University of Massachusetts at Amherst. His research interests are in the areas of computer graphics, mobile computing, and wireless networks. 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.
Emmanuel Agu is currently a professor in the computer science department at WPI having received his Masters and PhD in electrical and computer engineering at the University of Massachusetts at Amherst. His research interests are in the areas of computer graphics, mobile computing, and wireless networks. 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.
Through his mobile health and sensing research, EPICC PI Emmanuel Agu is looking at the role mobile devices, smartphones, and health care apps can play in capturing important health data and biomarkers.
Research Interests
Mobile Health
Mobile Sensing
Computer Graphics
Machine Learning
Deep Learning
Scholarly Work
The Design, Architecture and Implementation of Sugar, an Android Smartphone App for Advanced Diabetes 2013
Real-Time Dispersive Refraction with Adaptive Spectral Mapping 2013
Smartphone-Based Wound Assessment System for Patients with Diabetes 2015
A Novel CyberPhysical System (CPS) for 3D Imaging of the Small Intestine in Vivo 2016
An automatic assessment system of diabetic foot ulcers based on wound area determination, color segmentation and healing score evaluation 2016
Imperceptible Simplification on Mobile Displays 2016
The Telegram & Gazette interviewed Harold L. Jurist ’61 and Heather E. Jurist Dean’s Professor of Computer Science Emmanuel Agu about his team’s National Institutes of Health grant to develop an app for health care workers to better assess chronic wounds.
Spectrum News 1 interviewed Emmanuel Agu, professor of computer science, about an app he and his team are developing that will use photographs, thermal imaging, and artificial intelligence to assess severe chronic wounds.
