Northwestern’s MSEE equips engineers to push boundaries from sub-THz wireless to grid-scale power converters. Core tracks in solid-state devices, signal processing, electromagnetics, and control theory join electives in quantum photonics, GaN power electronics, and machine-learning hardware. Students prototype silicon photonic modulators in the clean room, test nano-antenna arrays in anechoic chambers, and co-author IEEE papers on neuromorphic ICs. Partnerships with Argonne, ComEd, and start-ups in Chicago’s ‘Silicon Prairie’ furnish real-world design sprints, while a commercialization studio demystifies patent drafting and venture finance.
Design a GaN-based bidirectional EV fast-charger with >97 % efficiency
Prototype a silicon–nitride photonic filter for on-chip LiDAR beam steering
Develop ML-assisted spectrum sensing for dynamic 6 GHz Wi-Fi allocation
Model thermal hotspots in 3-D stacked DRAM using COMSOL multiphysics
Implement digital predistortion algorithms to linearize 5G power amplifiers
Fabricate graphene Hall sensors and benchmark low-field sensitivity
Create a micro-inverter string optimized for bifacial agrivoltaic arrays
Evaluate terahertz time-domain spectroscopy for non-destructive battery QC
Build a cyber-secure IEC-61850 substation gateway on RISC-V SoC
Design a metasurface lens focusing mid-IR light for gas-sensing drones
Develop fault-tolerant motor drives using model-predictive control on FPGAs
Test acoustic backscatter tags enabling battery-less body sensor networks
Analyze EMI mitigation using spread-spectrum switching in power converters
Prototype a PLC-based micro-grid controller with federated-learning forecasts
Write a policy brief on e-waste circularity incentives for power semiconductors
Engineer the signals and power behind tomorrow’s connected world.
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