Lehigh University PhD student Saskia Putri is partnering with Siemens through a two-semester fellowship to develop microgrid technologies that improve the reliability and resilience of data center energy systems. Working under the guidance of civil and environmental engineering professor Farrah Moazeni, Putri is modeling and testing real-time control systems designed to stabilize power for energy-intensive operations such as AI training. The collaboration, part of Lehigh’s Center for Advancing Community Electrification Solutions (ACES), aims to bridge academic innovation and industrial application in next-generation energy infrastructure.

Researchers at The University of Texas at Arlington are pursuing a potential breakthrough that could help soldiers recover from devastating blast injuries. Zui Pan, professor of graduate nursing at UT Arlington, is leading the 20-month study exploring how zinc might protect and regenerate muscle tissue damaged by trauma.

The Hong Kong University of Science and Technology (HKUST) has successfully launched the Global Climate Impact of Methane Seeps (CliMetS) Initiative through a pivotal collaboration with the Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (GML) and over 200 experts worldwide. Endorsed as a UN Ocean Decade Action, CliMetS is dedicated to mapping seabed methane seeps across the world’s oceans and quantifying their impact on global climate systems. Recently, HKUST co-led two milestone workshops in South America and Africa, galvanizing global efforts to address methane seep research gaps and fostering cross-continental partnerships.

Ultrasonic testing is a promising non-destructive evaluation technique across various industries. In a novel breakthrough, researchers from Chung-Ang University have developed DiffectNet, an AI-based technology that facilitates the diffusion-enabled conditional target generation of internal defects in ultrasonic non-destructive testing. This approach significantly outperforms traditional methods, potentially revolutionizing real-time defect reconstruction and prediction in highly reliability-critical industries, including aerospace, power generation, semiconductor manufacturing, and civil infrastructure.