Peter Ramadge

Gordon Y.S. Wu Professor of Engineering

Professor of Electrical Engineering

Office: B212 E-Quad

Interdisciplinary Research Area: Applied Math, Bioengineering, Data Science

Research Area: Video and image processing; adaptive systems; adaptive signal processing; adaptive control; discrete-event systems, optimization of queueing systems; video analysis, annotation and search

Areas of Impact

Bioengineering and Health

Bioengineers at Princeton bring together fundamental questions about how living systems work with an engineering approach to solving problems. While much work in bioengineering aims to improve human health, advances in the field also help address other global challenges, such as sustainable food, energy, water, and materials.

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.

Robotics and Cyberphysical Systems

The use of robots is moving rapidly beyond controlled environments such as factories to complex environments in the midst of human activity, demanding a nimble cross-disciplinary approach. Princeton engineers are advancing the productive, safe, and ethical use of robotics in society by building and connecting expertise in sensing, artificial intelligence, neuroscience, public policy, and other fields.

Associated Departments and Centers

Electrical Engineering

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Princeton University

School of Engineering and Applied Science

Peter Ramadge

Gordon Y.S. Wu Professor of Engineering

Professor of Electrical Engineering

Princeton University

Peter Ramadge

Gordon Y.S. Wu Professor of Engineering

Professor of Electrical Engineering

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Areas of Impact

Bioengineering and Health

Data Science

Robotics and Cyberphysical Systems

Associated Departments and Centers

Electrical Engineering