UIUC’s ECE PhD nurtures scientists crafting 2 nm transistors, terahertz imagers, and AI-defined power grids. Doctoral candidates pattern qubits in the MNTL cleanroom, script photonic inverse-design on supercomputers, and secure IoT at scale with formal methods. Cross-cuts with Materials Science, CS, and NCSA supercomputing multiply impact.
Monolayer TMD tunnel-FET modeling for sub-0.2 V logic
THz metasurface camera for through-wall imaging
Cryogenic readout electronics for superconducting qubits
Graph neural-network anomaly detection in smart grids
Silicon-nitride photonic comb for coherent LiDAR
Side-channel-resilient SoC design with formal verification
Wireless power transfer alignment via reinforcement learning
Policy memo on spectrum governance for 6G terahertz bands
Edge inferencing ASIC using RRAM in-memory compute
Quantum-secure key distribution over free-space optics
Grant proposal for rural microgrid resilience testbed
White paper on ethical deployment of ubiquitous sensing
Open-source toolkit for FPGA-accelerated homomorphic encryption
Podcast featuring alumni chip designers on 3-D integration
Invent electrons, photons, and bits of the future with UIUC ECE.
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