Worcester Polytechnic Institute · Mathematics & StatisticsAgu Lab
Emmanuel Agu · Worcester, Massachusetts
Research Focus
Dr. Emmanuel Agu's lab at Worcester Polytechnic Institute focuses on developing innovative digital health solutions to improve the detection and management of wound infections. By integrating smartphone technology with advanced deep learning techniques, the lab aims to create a system that allows non-experts to accurately assess wounds in real-time, ultimately reducing unnecessary referrals to clinics and enhancing patient outcomes. This research addresses a critical gap in current wound care practices, particularly for chronic wounds that can lead to severe complications if not diagnosed promptly.
wound infectiondeep learningsmartphone technologymachine learningimage analysis
Research Aims
4AIM 01Develop a smartphone-based system that detects wound infections using photographs and thermal images.
AIM 02Validate the accuracy of the deep learning model in clinical settings with new patients.
AIM 03Generate care recommendations for non-expert caregivers to standardize wound treatment.
AIM 04Reduce the time to treatment for infected wounds and decrease the risk of amputations.
Skills the Lab Values
deep learningimage processingthermal imagingdata analysisstatistical modelingalgorithm developmentmedical device integrationsmartphone application development
Output against the department
Publications205bottom 44% of dept.74th of 131
this lab
most publishedleast published
Citations2.8kbottom 21% of dept.104th of 131
this lab
most citedleast cited
Career totals from OpenAlex, compared against labs that share a department. A department spans everything from one paper to tens of thousands, so bar heights are on a log scale — otherwise the largest lab would flatten every other bar to a line.