The research team led by Dr. Su-Un Lee and Dr. Ho-Jeong Chae from the Korea Research Institute of Chemical Technology (KRICT) has successfully developed a high-performance ammonia decomposition catalyst by incorporating cerium oxide (CeO₂) into a cobalt-iron-based layered double oxide (LDO) structure.

Brendan Cottrell studies the application of remote sensing and drone technology in marine mammal conservation at the Applied Remote Sensing Laboratory at McGill University where he recently completed his MSc. After graduating with a BSc in applied physics from Simon Fraser University, Cottrell worked with the British Columbia Marine Mammal Response Network where he was involved in marine mammal rescue, necropsies, and research. His current research is examining the ability of drones and remote sensing techniques to characterize and catalogue the prevalence and severity of entanglement scarring on large whales such as humpbacks.

He is the first author of a new Frontiers in Marine Science article in which he and his co-authors investigated the practicality of using smartphones to create 3D scans of stranded marine life that can aid in postmortem examinations and help scientists and conservationists protect marine species.

A new framework formulated by SUTD researchers helps ensure digital citizen participation does not just end with feedback collection, but translates into real-world urban decisions.

A recent review provides a detailed comparison of gypsum and silica scaling in membrane desalination, shedding light on their unique formation mechanisms and behaviors. The research identifies the challenges each scaling type poses to desalination efficiency and highlights critical differences in how they interact with organic foulants. By understanding these distinct behaviors, the study offers valuable insights that can inform targeted strategies for improving desalination processes and their sustainability.

"AI Finally Cracks Human-Level Spatial Reasoning: New Model Beats GPS at Understanding 'Behind the Starbucks, Near the Broken Sign'"

A groundbreaking study led by Dr. Feng Wang reveals why current AI fails to grasp real-world spatial language—and unveils the DPEC model that closes the gap.