Santokh Badesha, Distinguished Professor of Electrical and Computer Engineering, is leading a groundbreaking course at Purdue University on patents. The course reflects the practical experiences of an inventor rather than focusing solely on legal jargon.

Prof. Matt Woongkul Lee says he is honored to receive this inaugural ARPA-E Early Career Award and join the esteemed group of twenty-two IGNIITE 2024 selectees.

The network integration project will design, implement, and deploy PRONET, a testbed to support cutting-edge programmable networking research for managing Science DMZ traffic.

What drives a researcher's decades-spanning dedication to changing the world? For ECE Prof. Tillman Kubis, it's an integral drive to preserve knowledge and solve the fundamental problems people experience.

Purdue and the Dominican Republic signed a memorandum of understanding to bolster the semiconductor industry in the Caribbean island nation and to support near-shoring efforts of the U.S. semiconductor industry.

Known as an Award of Appreciation, the Pioneer Award is conferred by the SPWLA Board of Directors to a non-member of the Corporation who has performed some notable service to the Corporation.

ECE Prof. James Davis is part of the team of researchers who wrote the paper based on three semesters' worth of training in cybersecurity in ECE's software engineering course.

Both of Purdue ECE's graduate programs received their highest-ever ranking, with Electrical Engineering at number 7 and Computer Engineering ranked 8th.

Timothy Rogers, associate professor in Purdue University’s Elmore Family School of Electrical and Computer Engineering, is among the highly accomplished early-career engineers selected by the National Academy of Engineering (NAE) to participate in the 2024 Grainger Foundation Frontiers of Engineering Symposium to be held in Irvine, Calif., Sept. 11-14.

The paper, titled "Arkade: k-Nearest Neighbor Search with Non-Euclidean Distances using GPU Ray Tracing," talks about improving a specific type of search algorithm called k-Nearest Neighbor (kNN) for finding the closest points in a dataset.