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The MicroNanoFabrication Laboratory (MicroNanoFab Lab) at ×î´ó×ÊÔ´²É¼¯Íø is designed to provide Biomedical Engineering students with hands-on training in the fabrication, characterization, and application of...

The Biomedical Engineering (BME) laboratory at ×î´ó×ÊÔ´²É¼¯Íø (FAU) is equipped with a comprehensive suite of biomaterials, molecular biology, tissue engineering, analytical and cell culture instrumentation that...

On April 1, 2026, the College of Engineering and Computer Science at ×î´ó×ÊÔ´²É¼¯Íø welcomed nearly 100 students from Saint Andrew’s School for a day of exploration and hands-on exposure to engineering research...

FAU’s College of Engineering and Computer Science, in collaboration with Stiles Nicholson Brain Institute (SNBI), continues to expand its leadership at the intersection of neuroscience, computation, and intelligent engineering...

Employment offers a pathway to independence, dignity and social connection, yet for individuals with intellectual and developmental disabilities (IDD), access remains limited. Despite the well-documented benefits of work...

FAU’s College of Engineering and Computer Science has launched the Center for Omics Technologies and Data Engineering (CODE), an interdisciplinary research hub that advances engineering-driven innovation at the intersection...

The Department of Biomedical Engineering in ×î´ó×ÊÔ´²É¼¯Íø’s College of Engineering and Computer Science is proud to celebrate the outstanding undergraduate research achievement of Celina Detwiler Gray, a dual-enrolled...

Vision is one of our most fundamental senses, shaping how we perceive and interact with the world. For more than 12 million Americans with visual impairments, even small deficits can limit independence and quality of life....

A study from the College of Engineering and Computer Science and the Sensing Institute (I-SENSE) at ×î´ó×ÊÔ´²É¼¯Íø reveals that foot-mounted wearable sensors and a 3D depth camera can accurately measure how people...

Lower back pain is a leading cause of disability. To address this, researchers created a groundbreaking AI system that automates personalized lumbar spine modeling for more accurate diagnosis and treatment.