Three NC State ECE faculty members are 2019 recipients of fund awards from Chancellor’s Innovation Fund as they develop microneedle patches and fast chargers for electric vehicles.
Memory modules using Intel’s 3D XPoint technology are arriving, and engineers at NC State have already figured out how to speed them up with a new method.
Researchers have developed new software and hardware designs that should limit programming errors and improve system performance in devices that use non-volatile memory (NVM) technologies.
Collaboration between researchers at Bedair Group, North Carolina State University and the U.S. Department of Energy’s National Renewable Energy Laboratory (NREL), shows the high potential of quantum wells in multi-junction solar cells.
Researchers at NC State ECE are launching a project aimed at researching and developing high-performance communications, networking and air traffic management (ATM) systems, including navigation and surveillance for both manned aircraft and unmanned aerial vehicles (UAVs).
This is a guest post by Edgar Lobaton – Autonomous systems are becoming a reality in our everyday lives. A few examples that most of us have seen in the news include autonomous vehicles such as the Google Car, and autonomous stores such as Amazon Go. All of these systems require sophisticated sensing, machine learning and artificial intelligence in order to make them work, which fascinates me.
A new study using complex computational models finds that smart solid-state transformers (SSTs) could be used to make a stable, reliable “smart grid” – allowing the power distribution system to route renewable energy from homes and businesses into the power grid.
In a proof-of-concept study, engineers at NC State University’s Department of Electrical and Computer Engineering have designed a flexible thermoelectric energy harvester that has the potential to rival the effectiveness of existing power wearable electronic devices using body heat as the only source of energy.
Researchers from North Carolina State University’s Department of Electrical & Computer Engineering have developed an energy-efficient technique for accurately tracking a user’s physical activity based on data from wearable devices.
10 finalists in the Graduate School’s second annual 3 Minute Thesis competition will demonstrate who is most capable of describing their Ph.D. research in just three minutes and with only one slide. Ph.D. candidates who have completed their confirmation milestone, was narrowed to 10 finalists, including one from Electrical and Computer Engineering – Tanvir Arafat Khan.
Computer science and electrical engineering researchers have made an effort to improve service dogs’ signals to companions.