ISE welcomes Daniel Robinson as Associate Professor

The Industrial and Systems Engineering Department is pleased to welcome Daniel P. Robinson as an Associate Professor beginning on July 1, 2019.

Daniel earned his Ph.D. in Mathematics from the University of California, San Diego. He has previously served as a Postdoctoral Researcher at Oxford University, a Postdoctoral Researcher and Visiting Professor at Northwestern University, and most recently as an Assistant Professor at Johns Hopkins University.

Interdisciplinary collaboration yields hardest, thinnest coatings yet discovered

Eventually, your phone charger is going to die.

Month after month of getting pushed and pulled into and out of its port will degrade the protective film that coats the connector. And then, usually when you need it the most, your charger kicks it, your phone soon follows, and life as you know it comes undone. As least for a while.

This inevitable breakdown happens of course to everything, from industrial systems to vehicles to nanoelectronics. Friction causes parts to drag against each other, which wastes energy and wears out materials.

Addressing cybersecurity concerns in IoT

The Internet of Things is coming of age.

The explosion of connected devices—and their rapid insurgence into our homes and workplaces—has so far outpaced investment in keeping them secure.

But that’s starting to change, as buyers and sellers of “smart” products are less willing to throw caution to the wind when it comes to cybersecurity, according to Dr. Rick Blum, the Robert W. Wieseman Professor of Electrical Engineering at Lehigh University. 

Connecting biology to artificial intelligence

Dr. Xiaochen Guo and her team at Lehigh University are leading the way in cutting-edge research into artificial neural networks, mimicking the way the brain learns so similar systems can be implemented in computers.

To create a more energy-efficient and brain-like system for use in artificial intelligence, Guo’s novel approach is to create a living neural network—a machine using actual human cells—to run learning applications.