WPI Computer Science Department

Computer Science Department
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Emmanuel Agu: Associate Professor


Emmanuel's picture

I am currently an associate professor in the Computer Science Department at WPI after receiving my PhD in Electrical and Computer Engineering at the University of Massachusetts at Amherst. My research interests are in the areas of mobile health, computer graphics including mobile graphics and rendering (real-time and photorealistic).. I am also interested in most areas of mobile computing

Mobile Health: I am interested in researching and developing smartphone apps that patients with health ailments can use to better manage their conditions. Specifically, I am interested in machine learning using smartphone sensor data to detect various ailments including alcohol consumption from gait analysis, or inferring depression, loneliness and sedentary behaviors from smartphone usage patterns. I am also interested in using machine learning/computer vision techniques to analyze smartphone images for health assessment including analyzing patients' wounds to assess healing progress.

Since 2011, I have been involved in the NSF-funded Sugar project to develop a mobile application for patients with advanced diabetes, which automatically analyzes the healing progress of their foot ulcers and helps them manage their condition at home. I have also been a co-Investigator on NIH-funded projects on obesity ( [RELAX] ) and substance (alcohol and drug) abuse. I am also the faculty director for the steering committee of the Health Delivery Institute

Mobile Computing: I am interested in most areas of mobile and ubiquitous computing especially using smartphones. I have researched and developed a wide range of mobile applications including location-aware tour guides, location-aware security modules, and a mobile Emergency Medical Services (EMS) incident reporting application. I have worked on energy profiling of mobile applications ( [ PowerSpy ] and energy efficient techniques.

Mobile Graphics: In mobile graphics, we have created and prototyped a programmable mobile graphics API called the Mobile Adaptive Distributed Graphics Framework (MADGRAF) in which a powerful server can assist a mobile device in rendering relatively complex 3D scenes by applying techniques such as polygon simplification, image-based techniques, rendering using various Level-of-Detail (LOD) techniques and remote execution.

Graphics Rendering: I am generally interested in global illumination techniques for realistic graphics rendering, both real time GI (shaders) and non-real time (ray tracing, photon mapping). I have researched and developed rendering models for realistic materials reflectance (BRDFs). Examples of realistic materials I have researched include interesting natural wavelength-dependent phenomena such as diffraction which produces the color streaks we observe when we look at a CD-ROM and interference which produces color in oil slicks and soap bubbles.

I teach the undergraduate and graduate computer graphics, undergraduate computer networks class as well as a graduate seminars in computer graphics and mobile computing.

Classes Taught

Current

Previous (Last Offering)

Note that the above links are to the current or last offering of the above courses. For older offerings of courses, please click [here] .

Major Qualifying Projects (MQPs) Interests 2014-2015

For more information on what sorts of MQPs I like to advise and information on older MQPs, please click [here] .

Interesting Independent Study Projects (ISPs)/Directed Research

My Research pages

Selected Publications

FULL PUBLICATION LIST .

Links


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