News

Hopkins faculty, Gonzalo Pita, has charted the evolution of catastrophe modeling to understand its influence on natural disaster risk assessment and response

As part of an NSF-funded research initiative, Tayo Ilunga-Reed and Tyler Sugrim spent part of their winter break preparing a 10-story building for seismic testing

The team is examining the connection between climate phenomena and sovereign debt to better inform investment strategies and policy

A team at Johns Hopkins has developed a new way to control 3D printers known as T-Code, designed to eliminate print flaws and accelerate complex, custom designs

The award recognizes early-stage scholars with high levels of promise and excellence

Computational engineering expert Somnath Ghosh led a team combining machine learning and advanced modeling to improve reliability and durability of 3D-printed metals

Johns Hopkins engineers have developed a new method for controlling interfaces on a voxel (3D pixel) scale to customize an object’s physical behavior and appearance

Johns Hopkins University researchers are embarking on an NSF-backed project using machine learning to better understand injury response of head impacts.

Findings are first step in post-Key Bridge vulnerability analysis

NSF’s NAIRR Pilot program supports AI research related to societal challenges, with initial focus on trustworthy AI, human health, and environment and infrastructure

The project will identify ways to lessen community out-migration following natural disasters

The award supports the improvement of humanitarian responses through AI and data science