Emmanuel Agu is currently an associate 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.
In the News
Emmanuel Agu, professor of computer science, was featured in a profile in Diversity in Action on his road to exploring computer science, and how it landed him a teaching position at WPI. "I found that WPI's philosophy of integrating theory with practice matches the way I approach problems," he said.
Emmanuel Agu, associate professor of computer science, was interviewed by the BBC regarding his smartphone app that uses machine learning algorithms to analyze a user’s walking pattern to detect alcohol impairment. Uber is seeking to develop an app to allow drivers to gauge passenger’s sobriety.