Dr. Ateniese is a leader in security applications of machine learning. He received the CAREER award from NSF for his work in privacy and security.
Artificial intelligence is the hottest topic in business and science, yet there’s an alarming shortage of thought leaders capable of studying, understanding and applying advances in A.I. and machine learning in practical ways.
At Stevens, the interdisciplinary Ph.D. in Data Science prepares inquisitive students to become pioneers in this space through a rigorous curriculum emphasizing mathematical and statistical modeling, machine learning, computational systems and data management. The program is administered through both the Schaefer School of Engineering and Science and the School of Business at Stevens. The curriculum responds to industry demand for data scientists with extensive knowledge of the theories, techniques and applications associated with big data and artificial intelligence. Graduates become research leaders in academia or industry, where they lead the organization’s forays through the data revolution and into the age of A.I. and machine learning.