Researchers in the FREEDM Systems Center received a $3.1 million research award from the U.S. Department of Energy to advance solar energy’s role in strengthening the resilience of the U.S. electricity grid.
A new framework for building deep neural networks outperforms existing state-of-the-art artificial intelligence frameworks, including the widely-used ResNet and DenseNet systems, in visual recognition tasks.
Embracing the future of quantum computing, the Distinguished Chair in Quantum Computing within ECE will be a key leader in the growing quantum computing community
New tech is designed to allow cellular communication nodes in 5G systems to partition bandwidth more efficiently in order to improve end-to-end data transmission rates.
A new technique uses power fluctuations to detect malware that uses a system’s architecture to thwart traditional security measures.
Electrical engineers show that a longstanding radio theory has real-world utility for boosting the quality of radio signals when transmitting at high data rates, such as with military communications.
The ECE Graduate Student Association at NC State hosted their annual research symposium on November 1, 2018. Five ECE graduate students from different specializations were selected for the impressive research.
A new electric vehicle fast charger is at least 10 times smaller than existing systems and wastes 60 percent less power during the charging process, without sacrificing the charging time.
The National Science Foundation’s FREEDM Systems Center led by NC State ECE is celebrating 10 years of work changing how we use energy.
Join us as we take a look at Dr. Michael Kudenov’s Optical Sensing Lab where his team works to make optical systems smaller, faster and more capable than ever before.
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.