Two NC State ECE students part of team that wants to create a smarter dumpster that improves the efficiency of waste collection. These students are founders of Trashr, a sensor technology that optimizes waste collection efforts to save time and money while also improving sustainability.
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.
New system can simultaneously deliver watts of power and transmit data at rates high enough to stream video over the same wireless connection.
Two faculty members from the Department of Electrical & Computer Engineering are creating a new transportation system that would link Centennial Campus with the University’s main campus. The EcoPRT (ecological personal rapid transit) is an ultra-li …
NC State forms NSF-Funded Center for Advanced Electronics Through Machine Learning With UIUC and Georgia TechAugust 2, 2016
North Carolina State University, the University of Illinois at Urbana-Champaign and Georgia Tech are forming a center that aims to speed up design and verification of microelectronic circuits and systems, reducing development costs and time-to-market for manufacturers of microelectronic products, especially integrated circuits. The center is funded for five years through the National Science Foundation’s Industry/University Cooperative Research Centers (I/UCRC) program, and by the industrial members of the center.
Although divided by geography and discipline, ReEdgar Lobaton, an electrical and computer engineering researcher at NC State University, Tom Marchittoc, a geological sciences researcher at CU Boulder, and Ritayan Mitra, a post-doc at NC State are partners in an attempt to solve a tricky engineering challenge and advance our understanding of Earth’s oceans.
Researchers from North Carolina State University’s Department of Electrical & Computer Engineering have developed a new tool for detecting and measuring the polarization of light based on a single spatial sampling of the light.
Researchers from North Carolina State University’s Department of Electrical and Computer Engineering have developed a new technique that improves the ability of computer vision technologies to better identify and separate objects in an image, a process called segmentation.
North Carolina State University is one of the participants in the Innov8 with POWER8 Challenge. Utilizing technology from IBM and OpenPOWER Foundation members including NVIDIA, Mellanox and Altera, I’m overseeing a team that is working on a custom Fiel …