Stanford’s M.S. in Electrical Engineering program trains students in both theoretical and applied domains across circuits, signal processing, communications, and power systems. These project ideas offer hands-on pathways for developing future-ready technologies in smart devices, AI chips, and sustainable energy solutions.
VLSI Design of a Low-Power Image Processing Chip
Smart Grid System for Efficient Energy Distribution
Speech Enhancement Algorithms for Real-Time Hearing Aids
Design and Fabrication of a Wearable ECG Monitoring System
Energy Harvesting Circuit for IoT Sensor Nodes
Millimeter-Wave Antenna Array for 5G Communication
FPGA-Based Implementation of Neural Networks for Edge AI
Smart Traffic Monitoring Using Wireless Sensor Networks
Real-Time Object Tracking System Using Kalman Filters
Bluetooth Mesh Network Design for Smart Homes
Adaptive Filtering Algorithms for Biomedical Signal Processing
LIDAR-Based Autonomous Navigation for Indoor Environments
IoT Framework for Industrial Safety Monitoring
Design of an Ultra-Wideband Radar for Gesture Detection
Power Electronics Converter for Solar Microgrids
Hardware Trojan Detection in Integrated Circuits
Digital Modulation Techniques for Satellite Communication
Design of High-Frequency Switched-Mode Power Supply
Analog Circuit Design Using Deep Reinforcement Learning
Smart Prosthetics with Electromyographic (EMG) Signal Integration
From embedded systems to RF circuits, Collexa helps Stanford EE students with system simulations, lab documentation, hardware prototyping, and thesis reviews.
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