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
“In terms of performance and energy, I have two goals: one is making automatic storage system optimizations leading to self-optimizing Big Data analysis platforms. The other one is making this infrastructure more energy efficient.”Dr. Nihat Altiparmak, Computer Engineering & Computer Science
The Latest in Data Science
Engineering students from the two universities will collaborate and perform research activities together.
Working with student researchers, ME Professor Stuart Williams creates vibrant images from evaporated drops of diluted whiskey to identify counterfeits as well as provide insight into their chemical properties.
A graduate from 2000, Jagannadh Varma Kanumuri, is the recipient of the 2018 Professional Award in Industrial Engineering. Kanumuri is the Founder & CEO of ACI INFOTECH & ACI’s Global Group of Companies where he provides strategic executive leadership and vision for all technology and functional organizations with the global group.
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 Engineering & Computer Science