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Project Ideas for Master of Science in Computer Engineering

Combine software and hardware systems expertise to engineer advanced, intelligent computing solutions.

🏛 Introduction

UF’s MS in Computer Engineering bridges hardware and software development through specialized training in digital systems, embedded computing, AI, cybersecurity, and VLSI design. The program combines rigorous engineering coursework with research in next-gen computing technologies. Students graduate prepared to lead innovation in processors, IoT, robotics, and intelligent systems.

💡 Suggested Project Titles

Design of a hardware-accelerated neural network inference engine for edge devices

Development of an embedded system for real-time wildfire detection using thermal imaging

Simulation and implementation of a RISC-V processor pipeline in Verilog

Thesis on dynamic power management in multi-core systems-on-chip (SoCs)

Design of a secure bootloader and cryptographic module for IoT firmware

Development of a wearable ECG device with Bluetooth data streaming and low-power optimization

FPGA-based implementation of deep learning accelerators using systolic arrays

High-speed serial interface testing and signal integrity analysis for PCIe 5.0

Design of a smart camera system for real-time vehicle tracking and license plate recognition

Performance analysis of cache coherence protocols in multicore architectures

Neural signal acquisition system with custom PCB for brain-computer interface research

Sensor fusion and control for autonomous drone navigation using embedded Linux

Security vulnerability assessment of a consumer smart thermostat system

AI-powered anomaly detection in power electronics using embedded GPUs

Implementation of a RISC-V processor with custom instruction set extensions

Reconfigurable cryptographic engine for lightweight secure communications

FPGA-based emulation of neural prosthetic controller logic

Design of a cloud-to-edge communication protocol for smart home appliances

Real-time digital signal processing of acoustic signals on ARM Cortex-M systems

Fault-tolerant memory architecture design for aerospace applications

University of Florida – MS in Computer Engineering

Power intelligent systems through advanced hardware-software integration and research.

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