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