Two graduate students in Purdue University’s Elmore Family School of Electrical and Computer Engineering have been selected as 2022 Purdue Engineering Dean’s Teaching Fellows.

Zubin Jacob, Elmore Associate Professor of Electrical and Computer Engineering in Purdue, recently gave a plenary talk at the 51st annual conference on Physics of Quantum Electronics (PQE).

Lukas Diehm is a junior in Purdue ECE. He spent a semester studying abroad in Madrid, Spain at the University of Carlos III.

Researchers with Purdue University’s Elmore Family School of Electrical and Computer Engineering, in collaboration with Oak Ridge National Laboratory, SRI International, and Freedom Photonics, have demonstrated a technique that will help quantum networks leverage wavelength-division multiplexing, a technology that allows classical fiber-optic networks to support terabit data rates.

Researchers with Purdue University’s Elmore Family School of Electrical and Computer Engineering have demonstrated a platform with electrically reconfigurable interactions between atom-like spin qubits and wave-like excitations of magnets.

The multi-university research center called Resilient Architectures and Robust Electronics (RARE) will focus on assessing and improving the resiliency, reliability, and security of Intel� hardware and software, including the security of Intel� silicon integrated circuits.

Two students from Purdue University’s Elmore Family School of Electrical and Computer Engineering have earned honorable mentions in the Computing Research Association’s 2022 Outstanding Undergraduate Researcher Award.

Christopher Brinton, assistant professor in Purdue University’s Elmore Family School of Electrical and Computer Engineering, has received a National Science Foundation (NSF) CAREER Award.

A team of researchers from Purdue University’s Elmore Family School of Electrical and Computer Engineering have developed a way to achieve smaller and higher-performing transistors. Led by Peide Ye, the Richard J. and Mary Jo Schwartz Professor of Electrical and Computer Engineering, the group has been seeking to exploit materials much thinner than silicon to meet that goal.

Tools to generate manipulated media have been around for decades and are becoming more and more sophisticated. However, deep learning is quickly outpacing existing research – making deep learning detection approaches necessary.