The NGS Group conducts research on the Next Generation Microsystems and Robots that are increasingly small, cheap, integrated, and networked.
Data Science & AI
With 2.5 quintillion bytes of data being created EVERY DAY, the problem of the modern world isn’t how to get information, but how do you make sense of it, and then what do you do with it. Engineers at Speed School are creating novel ways to collect and interpret massive amounts of data to solve an array of complex problems like organ rejection, pavement deterioration, energy storage systems, and in one of the most exciting fields AI.
grant awarded to Speed School's Dr. Nihat Altiparmak by the National Science Foundation
Faculty doing research in this area
Dr. Olfa Nasraoui, Computer Science & EngineeringOur Faculty
“AI has been through many winters, and we happen to be in an awakening period right now. AI has to interact with humans at a level that is completely unprecedented. And I’m very interested in exploring these areas, which are at the intersection between human beings and technology.”
The Latest in Data Science
Gerald Hubbs recognized as distinguished graduate who is an exemplary ambassadors for the university.
Wang earns Professional Award in Industrial Engineering for 2019
Branson earns 2019 Professional Award in Electrical Engineering.
Facility Computational Intelligence Lab
Recent research into Computational Intelligence Tools for Medical Diagnostics was conducted at the Computational Intelligence Lab by Speed School students. This facility is just one of our state-of-the-art, on-campus learning spaces.
We evaluate our event recommendation system on a real-world dataset with more than one million events and 38,000 users. The proposed methodology achieved 70% accuracy, outperforming existing event recommendation algorithms.
Based on the history of deeply transformative technologies developed by multiple actors on the global stage and their consequences for global stability, we consider the possibility of artificial general intelligence arms races and propose solutions aimed at managing the development of such an intelligence without increasing the risks to global stability and humanity.
"Advances in high throughput methodologies, such as DNA/RNA sequencing and single cell sequencing have resulted in an explosion of the amount of biological data at a growth rate faster than Moore's Law."Eric Rouchka, Professor, Computer Science & Engineering