The ITS Institutional Lead Award is given to organizations that have made significant and outstanding contributions to the research and applications of intelligent transportation systems (ITS)-related technologies.

Research in Indiana lays the groundwork for highways that recharge EVs of all sizes across the nation

A Purdue-led research team has uncovered how to stabilize a notoriously unstable quantum system, opening new possibilities for technologies that rely on precise control of light and matter at the quantum level.

The annual event recognizes research projects — and the Purdue principal investigators and co-investigators who lead them — that were awarded external research funding of $1 million or more for a single proposal.

Matt Woongkul Lee, assistant professor in Purdue University’s Elmore Family School of Electrical and Computer Engineering, has been named a 2025 ASME Rising Star of Mechanical Engineering for his groundbreaking research on magnetically integrated electric drives using rare-earth-free motors.

Researchers at Purdue University have achieved a long-sought milestone, demonstrating what they call a “photonic transistor” that operates at single-photon intensities.

The AAIA Fellowship is awarded to individuals who have made significant, lasting contributions to the theory, technology, and applications of artificial intelligence. Bagchi was recognized for his contributions to artificial intelligence for computer system dependability and security.

Kangbeen Lee, a PhD student in Purdue University’s Elmore Family School of Electrical and Computer Engineering, has received the First Paper Prize Award from IEEE Transactions on Industry Applications for work advancing electric motor drive technology, a critical component in electric vehicles and aircraft.

Prof. Michael D. Zoltowski has been elevated to IEEE Life Fellow, one of the most prestigious honors bestowed by the Institute of Electrical and Electronics Engineers (IEEE).

The team’s winning poster, presented by PhD student Prateek Chennuri, showcased a single-photon LiDAR compression scheme featuring advanced adaptivity control and a neural decoder, all implemented on a compact NVIDIA Jetson platform.