Popping a Commonly Experienced Mystery: Why Do Bubbles Collapse?
How Does Hands-on Learning Work with Learning from Anywhere? Watch Aaron Hwang's Vlog!
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Deadline Extended for MS Applications
Prospective Applicants to Master’s degree programs: We continue to accept applications for all master’s degree programs. Please refer to Graduate Admissions for information about application requirements and alternate testing. **Applicants with four year undergraduate degrees from accredited US institutions are NOT required to submit the GRE.
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A BU X-ray Instrument Is Heading to the Moon
Space scientist and engineer Brian Walsh, a College of Engineering assistant professor of Mechanical Engineering and of Electrical and Computer Engineering, is developing an X-ray imager he calls “LEXI,” which will be rocketed up to the moon aboard a lunar lander within the next 18 months [read more...]
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It’s Now Possible to 4D Print a Face
BU engineer unveils a method for printing structures that first appear flat, but then transform into extremely complex shapes, like a human face [read more...]
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BU Named Among Top Robotics Universities
To find your place in the rise of the machine’s era, here are the top Robotics Universities offering the best of robotics courses. [Read more...]
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Emerging Soft Robotics Research
Unlike traditional robotics, soft robotics have unmatched levels of flexibility and adaptability — and BU mechanical engineering is at the forefront. Learn about soft robotics in this discussion between Professor Alice White and Assistant Professors Sheila Russo and Tommaso Ranzani.
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$3 Million for Transformational Energy Technology
“NewRAMP will develop innovative approaches that quantify the risk of individual Electric-Power-Grid-interconnected assets based on their performance and ability to deliver market cleared capacity and energy,” explains Prof. Caramanis. “By synthesizing ideas and theories from finance and insurance, operations research, power system engineering and electricity market design, NewRAMP will offer ground-breaking methodologies constituting a risk-driven paradigm to achieve higher adoption of stochastic resources and a more efficient and reliable system operation. As such, it will contribute to reducing imported energy, reducing energy-related emissions, and improving energy efficiency.”
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