CMU’s ECE PhD offers unmatched breadth—from quantum devices to smart-grid autonomy. Dissertation tracks blend theory and fabrication; you might tape-out neuromorphic ASICs, model mm-wave beam-forming, or secure grid inverters against cyber-threats. Partnerships with industry fab nodes and DOE labs provide real-world impact and resources.
Cryo-CMOS control electronics for large-scale superconducting qubits
AI-enhanced spectrum sharing algorithms for 6 G satellite backhaul
Secure over-the-air firmware update protocol using lattice crypto
GaN H-bridge inverter modeling for bidirectional EV charging
On-chip optical network with sub-pJ/bit energy budget
FPGA-based LiDAR processing pipeline for real-time perception
Edge federated-learning accelerator designed in RISC-V
Graph-signal processing for brain-computer interface decoding
Wide-band antenna array using additive-manufactured graphene inks
Stochastic-resonance sensor enhancing low-light CMOS imaging
Cyber-physical resilience metrics for distributed energy resources
Printed flexible RFID biosensors for cold-chain monitoring
Neuromorphic vision chip benchmarking on nano-joule event budgets
Policy brief on spectrum coexistence for unmanned aerial networks
Open-source EDA flow integrating ML-guided floor-planning
Invent electronics and systems of the future at CMU ECE.
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