Electrical and Computer Engineering

New chip poised to enable handheld microwave imaging

Penn researchers show that the new microwave imager chip could form images of simple objects. Unlike light, microwaves can travel through certain opaque objects, making microwave imagers potentially useful in a wide variety of applications.

Penn Today Staff

A faster way to make drug microparticles

Penn Engineers have developed a liquid assembly line process that controls flow rates to produce particles of a consistent size at a thousand times the speed.

Evan Lerner



In the News


Technical.ly Philly

Penn professor on gen AI’s rapacious use of energy: ‘One of the defining challenges of my career’

Benjamin Lee of the School of Engineering and Applied Science says that hardware and infrastructure costs are growing at high rates for generative AI.

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CNET

How the solar eclipse will affect solar panels and the grid

Benjamin Lee of the School of Engineering and Applied Science says that the electrical grid will have to figure out how to match supply and demand during brief windows where the energy source goes away.

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CNBC

Students can soon major in AI at this Ivy League university—it’ll prepare them for ‘jobs that don’t yet exist’

The Raj and Neera Singh Program in Artificial Intelligence at Penn will be the first AI undergraduate engineering major at an Ivy League school, led by George Pappas of the School of Engineering and Applied Science.

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WHYY (Philadelphia)

Penn to become first Ivy League to offer AI degree, looks to ‘train the leaders’ in emerging field

Penn is the first Ivy League university to offer a degree in artificial intelligence, with remarks from Robert Ghrist of the School of Engineering and Applied Science.

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CNN

These origami-inspired microbots could fix damaged nerves

Researchers at the School of Engineering and Applied Science led by Marc Miskin have built folding microrobots that could potentially go into human bodies to reconnect damaged nerve endings.

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The New York Times

A.I. could soon need as much electricity as an entire country

Benjamin Lee of the School of Engineering and Applied Science says there are many dramatic statements about the rapid growth of A.I., but it’s actually dependent on how quickly Nvidia chips can be distributed.

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