Princeton’s M.Eng. in Electrical Engineering emphasizes system-level integration, design optimization, and real-world implementation. These capstone ideas span embedded platforms, smart infrastructure, robotics, and communication systems.
Design of a Low-Latency Edge AI Processor for IoT Devices
Wireless Charging System for Wearable Health Trackers
Robotic Arm with Vision-Based Object Tracking and Grasping
Design and Simulation of High-Efficiency DC-DC Converters
Automated Irrigation Control System Using Soil Sensors and Microcontrollers
RF Energy Harvesting for Ultra-Low-Power Embedded Systems
Embedded Operating System Design for Real-Time Drone Navigation
Internet of Medical Things (IoMT) Framework for Remote Patient Monitoring
Electric Vehicle Powertrain Analysis and Control Strategy Development
Voice-Activated Home Automation System with Edge Processing
Compact Radar Sensor for Collision Avoidance in Smart Cars
Power Quality Monitoring Using Smart Meters and FPGA
Secure Communication Over LoRa-Based Sensor Networks
Design of a Programmable Logic Controller (PLC) for Smart Factories
Neuromorphic Circuits for Low-Energy Artificial Intelligence
Solar-Powered Battery Management System for Off-Grid Use
IoT-Based Industrial Equipment Fault Detection and Alerts
Smart Street Lighting with Adaptive Brightness Using ML
Real-Time Audio Signal Enhancement on DSP Hardware
Indoor Positioning System Using BLE and Ultrasonic Sensors
Collexa helps M.Eng. Electrical Engineering students at Princeton with PCB design, embedded programming, signal processing, prototyping, and final project documentation.
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