NC State engineers continue to improve flexible wearable devices powered by body heat.
Mantis Shrimp inspire a new breed of light sensors that are small enough to fit on a smartphone, but capable of hyperspectral and polarimetric imaging.
NC State researchers from Textiles, BME, and ECE sewed a soft, flexible sensor system to help map pressure points on an amputee’s prosthesis.
Researchers including NC State ECE’s Yaoyao Jia have developed a wireless chip that can stimulate the brain with light and electricity.
Optimizing data flow allows ECE researchers to dramatically improve the performance of cyber-physical systems, from autonomous vehicles to smart power grids.
AI researchers from NC State ECE—including Tianfu Wu—have improved the performance of deep neural networks by combining feature normalization and feature attention into a single module.
Researchers, including Aranya Chakrabortty, have developed a reinforcement learning approach that will allow swarms of unmanned vehicles to accomplish various missions while minimizing performance uncertainty.
NC State’s Yaoyao Jia has been chosen to lead one of the new collaborative NSF programs, with a million-dollar grant aimed at improving our understanding of somatosensory feedback with the help of a cat.
An interdisciplinary collaboration across three colleges at NC State are working together to identify and analyze beneficial fungi in the core crops of North Carolina.
A partnership of researchers from ECE and Chemical and Biomolecular Engineering are laying out a fundamentally new approach to DNA data storage.
Being able to identify crop problems early can make the difference between saving a crop and losing it, but high-tech solutions can be costly. An interdisciplinary team is leveraging existing technology for a solution.
Lobaton’s lab leverages AI to create a software integration for existing hardware to enable people using robotic prosthetics to walk in a safer, more natural manner on different types of terrain.
Platforms developed in the Center for Advanced Self- Powered Systems of Integrated Sensors and Technologies (ASSIST) allow for a wide range of health applications
A paper outlining a hardware solution to then next generation of cryptographic solutions by Aydin Aysu and Michela Becchi was chosen as Best Paper at the Design, Automation and Test in Europe Conference
Wearable data collection systems being developed in the College are empowering guide dog trainers and making a costly, time-consuming process more efficient
The ASSIST Center has partnered with Digital Health Institute for Transformation (DHIT) to launch a webinar series to serve as an innovation engine for advanced remote care, with the first on May 15
How a new model may pave the way for more efficient research in the fields of genetic modification and forestry.
A team led by Dror Baron at NC State ECE is working on a sophisticated algorithm estimated to reduce the number of tests required for group coronavirus testing by up to seven times.
A new model from ECE and the ARO could aid in displacing false information about anything from computer security to public health.
Two interdisciplinary research teams with significant ECE involvement have entered the next phase of the Game-Changing Research Incentive Program to tackle plant science challenges