Zijie (Jay) Wang (Ph.D. ML-CSE 2024) is a recipient of the 2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI).

A Georgia Tech-led review paper recently published in Nature Reviews Physics is exploring the ways machine learning is revolutionizing the field of climate physics — and the role human scientists might play.

Like the track laid down at Georgia Tech before the 1996 Olympic Games, the Mondo track in Paris was engineered to produce fast times.

Up to 80% of infections in human bodies can be attributed to the bacteria growing in biofilms, and understanding how biofilms grow could lead to critical insights on controlling them.

The researchers’ results have created a new resource for developing next-generation, ultra-sensitive quantum electronic devices.