Research Picture
CREATING TOMORROW

SEAS flagThe world of the future rests in the hands of engineers and applied scientists. Whether it is putting an entire computer on a sheet of plastic, affordably sequencing the human genome, finding novel ways to remove greenhouse gases from the atmosphere, or sending astronauts to Mars, engineers and applied scientists will solve the problem. Through a synergy of teaching and research, our School educates leaders in engineering and applied science who will both thrive in and drive tomorrow’s technologies.

The School’s strategic plan, “A 2020 Vision for SEAS,” charts a course for future expansion that will optimize the School’s strengths in the coming years. By 2010, 20,000 square feet of laboratory and shared facilities space will be added, followed by more than 500,000 square feet of space in buildings now being planned for Manhattanville, the new campus north and west of the current campus. Key technical focus areas will be in entrepreneurship, financial engineering, genomic engineering, materials science, biotechnology, and energy and the environment—among the fastest growing fields of interdisciplinary endeavor.

Spotlight on Research

Columbia Engineering faculty are a central force in creating many groundbreaking discoveries that today are shaping life tomorrow. They are at the vanguard of their fields, collaborating with other world-renowned experts at Columbia and other universities to bring the best minds from a myriad of disciplines to shape the future. Large, well-funded interdisciplinary centers in science and engineering, materials research, nanoscale research, and genomic research are making step changes in their respective fields while individual groups of engineers and scientists collaborate to solve theoretical and practical problems in other significant areas.

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Research Focus
Associate Professor Tony Jebara
In this video presentation Tony Jebara, Associate Professor of Computer Science, describes the research of the Columbia Machine Learning Laboratory. Exploring the intersection of computer science and statistics, they work to make sense of the information "overload" age.