Have you imagined if a stop sign can be hacked to make a car to think that the sign is Speed limit 60mph?

In response to a growing interest from students, Purdue’s Elmore Family School of Electrical and Computer Engineering (ECE) is preparing to offer a minor in artificial intelligence/machine learning (AI/ML).

The Purdue Board of Trustees on Friday (Aug. 6) approved naming the School of Electrical and Computer Engineering (ECE) for the family of alumnus William B. Elmore in recognition of a $25 million gift.

Researchers have detected the rolling movement of a nano-acoustic wave predicted by the famous physicist and Nobel prize winner Lord Rayleigh in 1885.

When Android and Apple operating system updates started giving users the option to put their smartphones in dark mode, the feature showed potential for saving the battery life of newer phones with screens that allow darker-colored pixels to use less power than lighter-colored pixels.

After they drop the flag to start the race at the Indy Autonomous Challenge in October, the grand prize won’t go to the best driver but to the best-performing sensors, slickest algorithms, and fastest-thinking artificial intelligence (AI). Data science will determine the winner on the 2.5-mile oval at the famed Indianapolis Motor Speedway, when the race teams, all using the same Dallara-built AV-21 chassis, send out their driverless vehicles in search of victory.

Vijay Raghunathan, Professor of ECE and Associate Head of Graduate and Professional Programs, is among six faculty members university-wide to be recognized for their outstanding performance.

Liming Wu, a PhD student in Purdue University’s School of Electrical and Computer Engineering, has won a runner-up award for Best Paper at the Computer Vision for Microscopy Image Analysis (CVMI) Workshop at the 2021 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR).

Two PhD students in Purdue University’s School of Electrical and Computer Engineering, Mustafa Ali and Tanvi Sharma, have won Qualcomm Innovation Fellowships.

How do we best understand the spread of COVID-19 in order to institute the proper controls to mitigate the virus? Mathematical modeling provides a systematic way, based on fundamental principles and more than a century of research, to try to capture the behavior of the viral reach. Accurate models of COVID-19 can help decision makers predict the epidemic’s course, while provable algorithms can offer guidance on how to alleviate the spread.