Dr. Devika Subramanian
Robotics, AI and Interactivity
We are building a team of iCreate robots to guide people through
Duncan Hall as well as do surveillance tasks cooperatively. The robots
are equipped with a wide array of sensors and they map the environment
as they move in it. Making smart robots that exist, interact, and adapt
in an environment over a long period of time, poses interesting
research and engineering challenges.
Computational Cancer Biology and Predictive Medicine
We are using machine learning techniques to infer signaling malfunctions
in cancers. We are working with scientists at the MD Anderson Cancer Center
on this project, who provide us lots of cellular data. Finding signaling
anomalies in cancers help us find targeted drugs for patients
Computational Neuroscience and Personalized Education
We are building computational models of how humans learn to play a videogame designed
by the Navy to train submarine pilots. These models are built by tracking the eyes, hands
and the brains (EEGs) of players. Our goal is to help people learn complex tasks by
computationally figuring their learning difficulties, and by adjusting the task in
a personalized way, to help people achieve greater competence.
Tracking the Evolution of Terrorist Networks from News
We have access to a large database of terrorist events from 1990 to the present. We
are using machine learning techniques to track the evolution of terror networks at a global scale.
Contact Information
|
