Creating new algorithms using EEG, biological and environmental data can help predict epileptic seizures before they occur.
Prior to joining the Arizona State University faculty in 1990, Professor Armando Rodriguez worked at MIT, IBM, AT&T Bell Laboratories and Raytheon Missile Systems. He has also consulted for Elgin Air Force Base, Boeing Defense and Space Systems, Honeywell and NASA. He has published more than 120 technical papers in refereed journals and conference proceedings.
Total projects: 10
Utilizing machine learning and EEG data to predict the onset of epileptic seizures will assist people who live with epilepsy.
Understanding the conversion of thermal energy to usable electricity will help increase efficiency and explore new applications.
A Detailed Guide for the Systematic Design and Development of a Research-Grade Differential-Drive Robotic Ground Vehicle
Creating a detailed guide for ground robot vehicle development will help students get over the steep learning curve and benefit educators.
Developing a test flight virtual training tool will reduce the time, energy and cost that goes into repairs and maintenance.