UNC’s MS in Electrical & Computer Engineering (ECE) empowers engineers to design low-power AI accelerators, secure edge-IoT networks, and terahertz 6 G radios. Students tape-out RISC-V cores in the Carolina Nanofab, prototype lidar sensor arrays for autonomous vehicles, and contribute to open-source FPGA toolchains. Cross-lab seminars with Biomedical Engineering and Data Science cultivate multidisciplinary fluency—from neuromorphic vision chips to quantum-safe cryptography.
RISC-V accelerator integrating on-chip federated-learning engines
Millimeter-wave beam-forming array for urban micro-cells
Side-channel-resistant encryption core for medical implants
Neural-signal acquisition ASIC with sub-µW power budget
Reconfigurable photonic switch boosting data-center throughput
FPGA-based real-time HDR lidar compression algorithm
Energy-harvesting BLE sensor for smart-agriculture soil probes
Hardware-in-the-loop testbed for drone-swarm mesh networks
Quantum-dot display driver reducing burn-in via adaptive dithering
Open-source tool detecting hardware Trojans in netlists
Policy white paper on spectrum co-existence for unlicensed 6 G bands
Grant proposal for rural mmWave backhaul using stratospheric balloons
Edge-AI helmet monitoring construction-site safety compliance
Meta-analysis of neuromorphic SNN chip benchmarks
Workshop on RTL linting for secure supply-chain practices
Podcast interviewing pioneers of open hardware in academia
Infographic comparing GaN vs SiC efficiency in EV inverters
Invent faster, safer, and smarter electronics for an interconnected world.
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