Duke’s MS in Electrical and Computer Engineering catapults engineers into frontier research on neuromorphic chips, 6G wireless, photonic computing, and AI-accelerator design. Core studios blend PCB fabrication, Verilog-on-FPGA prototyping, and mm-wave antenna characterization, while entrepreneurship boot-camps help teams spin out edge-AI sensor start-ups. Students author IEEE papers alongside faculty, iterate silicon tape-outs in Duke’s cleanroom, and deploy secure firmware updates to field-tested drone swarms—graduating with patents, code repos, and global industry networks.
RISC-V accelerator for homomorphic-encryption workloads
Terahertz beam-steering array for ultra-low-latency VR streaming
Neuromorphic FPGA implementing spiking-neural attack detection
Edge-AI camera classifying crop pests with federated updates
On-chip silicon photonic switch fabric for data-center interconnects
Battery-free BLE sensor node harvesting RF energy
Quantum-random-number generator for hardware security modules
Digital-twin testbed for autonomous-vehicle V2X protocols
Blockchain-secured firmware supply-chain audit framework
ML-based RF interference canceller for dense IoT deployments
3-D printed conformal antennas on biomedical implants
Brain-computer interface decoding imagined handwriting
Cyber-physical co-simulator for smart-grid attack resilience
Open-source RTL generator for privacy-preserving ML cores
Dashboard benchmarking carbon cost of AI edge devices
Remote FPGA lab for K-12 outreach in rural schools
Swarm-robot mesh network using ultra-wideband localization
Micro-supercapacitor integration for rapid-charge wearables
Policy white paper on spectrum governance for 6 GHz Wi-Fi 7
VR tutorial teaching microwave cavity resonances
Invent the circuitry and code powering tomorrow’s connected intelligence at Duke.
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