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Research

What makes research at Tufts different?

Research is at the heart of the engineering program at Tufts. The research community in the Tufts School of Engineering demonstrates a passion for innovation through integration of diverse ideas within a vibrant interdisciplinary environment. State-of-the-art laboratory facilities, world-renowned faculty members, and a highly collaborative environment result in rigorous and cutting-edge programs with the added flexibility for interdisciplinary initiatives afforded by the relatively small size coupled with the significant academic diversity of Tufts University.

The School of Engineering strives for preeminence in its research and educational programs in three strategic areas: engineering for human health; engineering for sustainability; and engineering the human-technology interface.

Engineering for Human Health
Faculty strengths and cross-school collaboration include biomedical imaging, regenerative medicine, bioinformatics, waterborne disease, and metabolic engineering.

Engineering for Sustainability
Faculty strengths and collaborations encompass water and diplomacy, water quality, climate change mitigation, environmental remediation, smart structures, alternative energy, and smart grids.

Engineering the Human/Technology Interface
Faculty strengths include development and dissemination of educational technologies, robotics and cognition, sensors, human factors engineering, visualization.

Links
Associate Dean for Research
Faculty Research Directory
Graduate Research
Undergraduate Research
Research Profiles

Spotlight - Water

In an interview with The Boston Globe, Professor Shafiqul Islam discusses water scarcity and strategy, including a new collaborative online resource called AquaPedia.


Spotlight - Students

Andrew Winslow, EG14, a doctoral student in theoretical computer science, figures out the Rubix cube's secrets Andrew Winslow, EG14, a doctoral student in theoretical computer science, and a group of Boston-area researchers decided to figure out how a computer might most efficiently solve the Rubik's cube—and not just the standard one with three squares per row, but ones with up to 17 squares per row. They came up with some surprising findings that relate to real-world problems.