The Master of Engineering in Electrical and Computer Engineering at UF offers advanced, hands-on training in embedded systems, digital signal processing, computer architecture, power electronics, and machine learning. This non-thesis program is ideal for practicing engineers seeking technical depth in hardware and software systems. Graduates lead projects in smart grids, autonomous systems, robotics, semiconductor design, and IoT solutions.
Design and implementation of a real-time face recognition system using FPGA
Development of a smart energy meter with IoT integration and mobile app dashboard
Low-power microcontroller-based wearable health monitoring prototype
Design of a noise-canceling headset using adaptive digital signal processing
AI-powered predictive maintenance system for electric motors
Wireless charging circuit design for consumer electronics
Design of a sensor fusion algorithm for indoor autonomous robot navigation
Simulation of a high-efficiency buck-boost converter for renewable energy systems
Deep learning accelerator design for edge AI devices using Verilog
Development of a power grid fault detection system using wavelet transforms
Bluetooth-based secure home automation control system
Design of a low-latency embedded system for vehicular collision avoidance
FPGA-based real-time object tracking system using OpenCV
Design of a scalable IoT mesh network for smart agriculture
Hardware security module development for secure embedded systems
Study of power system harmonics using MATLAB/Simulink and hardware implementation
High-speed PCB design for wearable EEG signal acquisition
Speech recognition engine for embedded devices using lightweight CNNs
Design of an analog front-end for biosignal acquisition
RFID-based real-time asset tracking system with cloud logging
Design smart systems and scalable architectures that drive global engineering innovation.
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