Ruby Lee
Forrest G. Hamrick Professor in Engineering
Professor of Electrical Engineering
Office:
B218
E-Quad
Princeton,
NJ
08544
Phone: 609-258-1426
Interdisciplinary Research Area: Computing and Network Systems, Data Science, Security and Privacy
Research Area: Ubiquitous processor and platform architectures for media processing and secure information processing; computer architecture for high-performance, secure, and highly available servers
Areas of Impact
Data Science
Data science accelerates discovery across nearly all areas of science, engineering, and social science. Students and faculty in this area create new data-analysis techniques and harness advanced computing and storage systems to solve problems in biology, the environment, materials science, communications, security, transportation, and many other areas.
Public Policy
To be effective in solving critical societal problems, engineers must often work beyond purely technological domains and engage closely with policymakers. Several engineering faculty members are appointed jointly with the Woodrow Wilson School of Public and International Affairs and many others engage broadly on problems tied to policy. The Center for Information Technology Policy is a joint venture of the engineering school and the Wilson school.
Security and Privacy
As digital systems play critical roles in nearly every aspect of society, their security and the privacy of their data become increasingly important. The Center for Information Technology Policy serves as a focal point for much of this work. In addition, engineers are uniquely positioned to improve broader areas of security in the face of natural hazards and other threats.
Primary affiliation
Electrical Engineering
Princeton’s electrical engineering program, started in 1889 as one of the first in the United States, remains at the forefront of the field, with research aimed at improving human health, energy and environmental systems, computing and communications, and security. Specific areas of research include the physics of semiconductors; electronic and optical devices; the design of computers and networks; materials science and nanotechnologies; algorithms and structures for information; and biological technologies.
