A new Frontiers in Science lead article outlines brain-inspired hardware approaches designed to break today’s computing bottlenecks. Prof. Kaushik Roy led the research.

Researchers from Purdue University and Anello Photonics have demonstrated a new way to control light on silicon nitride photonic chips, overcoming a long-standing challenge in integrated optics.

At Purdue University, a graduate-level course in the Elmore Family School of Electrical and Computer Engineering is helping students understand how ideas become intellectual property and how that IP creates real-world impact.

The Quantum 100 is a global list recognizing people who are helping advance quantum research, innovation, education, and community building.

A team of seniors from Purdue University’s Elmore Family School of Electrical and Computer Engineering tackled the challenge of in-flight wi-fi through an industry-sponsored senior design project with global satellite operator SES, developing new software-based approaches to make in-flight connectivity faster, smoother and more reliable.

The IEEE Signal Processing Society Best PhD Dissertation Award, one of the society's highest honors, recognizing exceptional doctoral research in the field of signal processing.

The Elmore Family School of Electrical and Computer Engineering at Purdue University recognized five outstanding staff members during its annual ECE Staff Recognition Luncheon, celebrating individuals whose dedication, professionalism and service help make the school thrive.

Yaobin Chen, Jing Gao, and T.N. Vijaykumar were recognized for their outstanding contributions in fields spanning automated vehicle safety, big data analytics, and low-power computer architecture.

From smart safety gear to creative problem-solving tools, Purdue University students put their ideas and engineering skills on full display during the Elmore Family School of Electrical and Computer Engineering’s SPARK Challenge, a corporate-sponsored design competition hosted in partnership with the ECE Student Society and ECE corporate partners.

The research tackles a growing problem in AI: attackers hiding harmful code inside machine learning models.