Duke’s ECE BS trains students to architect everything from low-power IoT chips to autonomous-vehicle perception stacks. Foundational labs teach PCB design and FPGA prototyping, while advanced electives dive into neuromorphic computing, 6G wireless, and photonic circuits. Industry-sponsored design challenges see teams build drone-swarm communication networks or mm-wave imaging radars. Access to Duke’s cleanroom and AI accelerators means undergraduates graduate with patents and conference papers in hand.
RISC-V microcontroller optimized for energy harvesting devices
LiDAR-camera sensor fusion for autonomous wheelchair navigation
Neuromorphic FPGA implementing spiking neural networks
6G THz antenna array with beam-steering metasurfaces
Edge-AI accelerator reducing inference latency for medical imaging
Quantum-random-number generator on silicon photonics platform
Ultra-wideband indoor localization for AR headsets
Blockchain-secured firmware-update protocol for smart meters
Micro-supercapacitor integration on flexible PCBs
Brain-computer interface decoding speech from cortical signals
Wireless power transfer system for underwater sensor nets
Open-source RTL for privacy-preserving homomorphic-encryption cores
Millimeter-wave radar detecting vital signs through walls
Swarm-robot coordination via ultra-low-latency mesh networks
Printed-electronics biosensor patch transmitting ECG via BLE
Generative adversarial approach to RF interference mitigation
On-chip learning algorithm for adaptive motor-control prosthetics
Dashboard benchmarking carbon footprint of ML hardware designs
Cyber-physical testbed for smart-grid attack resilience
Open-hardware course kit teaching digital logic with gamified labs
Shape the future of connected intelligence with Duke’s boundary-pushing ECE program.
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