P.C. Rossin College of
Engineering and Applied Science

Strong showing by Lehigh faculty, students at IEEE photonics conference

Lehigh had a strong presence at the IEEE Photonics Conference (IPC) held during the first week of October 2017 in Lake Buena Vista, Florida. IPC is IEEE’s flagship conference dedicated to the fields of optics and photonics.

Lehigh faculty and students from the Center for Photonics and Nanoelectronics (CPN), the Department of Electrical and Computer Engineering (ECE), and the Department of Material Science and Engineering (MSE) presented nine technical talks.

Engineering materials: Atomistic models reveal surprising order

Scientists in the United States and China have announced a discovery that they believe could enable the engineering of alloyed materials that are stronger and more ductile and possess superior electrical, magnetic and physical properties.

Writing in Science, the nation’s leading scientific journal, the researchers said they had found a surprising degree of order in the interior grain boundaries—the interfaces between crystalline grains—that determine the properties of polycrystalline materials such as metals and ceramics.

Cao and Columbia U. colleagues win best paper award at ACM SOSP

How do you find errors in a system that exists in a black box whose contents are a mystery even to experts?

That is one of the challenges of perfecting self-driving cars and other deep learning systems that are based on artificial neural networks—known as deep neural networks—modeled after the human brain. Inside these systems, a web of neurons enables a machine to process data with a nonlinear approach and, essentially, to teach itself to analyze information through what is known as training data.