New deep learning framework fills gaps in official flood maps, providing a more complete and accurate picture of flood risk in the United States.

By developing a new electrolyte combined with a redesigned electrode architecture, NUS CDE researchers successfully tripled the brightness of electrochemiluminescent (ECL) devices.

Researchers engineer baker’s yeast to sense and respond to different colours of light, enabling new ways to control cellular behaviour with red and blue light.

NUS CDE researchers developed an AI-based framework that traces how Singapore’s shophouse styles evolved, offering new insights for heritage conservation.

Made from two naturally occurring molecules, the material keeps metal conductors attached during movement and enables sensor components to be recovered and recycled after use.

By capturing multiple body signals through one channel, the device could support more comfortable and efficient continuous health monitoring beyond clinical settings.

NUS CDE researchers integrated 2D materials on gallium nitride microchips to develop high-frequency switches for 5G and 6G telecommunication.

By combining sensing, damage detection and self-repair in one device, the system extends the working life of underwater machines used in diving and marine robotics.

The agreement aims to improve manufacturing yield, scalability and talent development in Singapore’s semiconductor ecosystem.

Eight CDE research projects were recognised at the university level, including one receiving the top-ranked Distinguished Undergraduate Researcher Prize in the Group category.

Study shows that tiny gaps inside ultra-thin devices can strongly influence unwanted electrical leakage, offering practical guidance for building smaller and more reliable electronic components.

A fully mechanical sensor converts applied force directly into fluidic actuation, giving soft robots the ability to sense and respond without the need for electronic processing or external power.