Professor Robert Nardelli Conducts Cutting-Edge Research to Help Fight Cancer and Other Diseases
A Keystone College faculty member recently presented research on the use of high-powered computing that may one day help find cures for cancer and other life-threatening diseases.
Robert Nardelli, Eynon, assistant professor of information technology at Keystone, presented research on cutting-edge technology in the areas of machine learning and quantum computing at Pace University’s Michael L. Gargano 16th Annual Research Day in Pleasantville, New York. Mr. Nardelli presented the paper as part of his research for his doctorate in information technology.
The paper, “Comparing Tensor Flow Deep Learning Performance and Experiences Using CPU’s via Local PCs and Cloud Solutions,” dealt with the use of machine learning and deep learning algorithms in an attempt to solve highly complex problems comparing different computer platforms. Machine learning is a field of computer science using statistical techniques to give computer systems the ability to “learn” without explicitly being programmed. Deep learning is a new area of machine learning which has been introduced to solve problems through artificial intelligence. Quantum computing, which is in its infancy, takes computing power to the next level and has the ability to solve problems much more quickly than classical computers.
“The idea behind machine learning and deep learning is to enable to computers to work at ever-faster levels and predict outcomes without having to be explicitly programmed to do so,” Mr. Nardelli said. “One of the ways this technology is being used is helping doctors provide quicker and more accurate diagnosis of cancer and other life-threatening diseases. We will be incorporating this technology in Keystone’s information technology curriculum to familiarize students with this cutting-edge technology.”
Enrolling about 1,400 students, Keystone offers more than 40 undergraduate and graduate degree options in liberal arts and science-based programs in business, communications, education, fine arts, natural science, environmental resource management, geology, and social sciences. Located 15 minutes from Scranton, Pa. and two hours from New York City and Philadelphia, Keystone is known for small class sizes and individual attention focused on student success through internships, research, and community involvement.
