The PhD in Computer Engineering at UF trains scholars to push the boundaries in digital systems, computer architecture, embedded computing, cybersecurity, and AI hardware. With interdisciplinary labs and research funding, students explore transformative technologies and publish in top-tier venues. Graduates pursue research-intensive roles in academia, national labs, and industry innovation hubs.
Thesis on neuromorphic computing architectures for real-time pattern recognition
Design of RISC-V processor extensions for secure embedded applications
Development of FPGA-based low-power edge AI accelerators
Investigation of fault-tolerant system design in aerospace computing environments
Energy-aware hardware scheduling for real-time video analytics pipelines
Thesis on side-channel attack mitigation in cryptographic hardware
Design of a parallel architecture for quantum error correction decoders
Simulation and prototyping of near-memory processing units for AI workloads
Design of microcontroller-based hardware for real-time biomedical signal acquisition
Hardware/software co-design for AR/VR motion tracking devices
Dynamic power optimization in multicore processors using reinforcement learning
Security audit and enhancement of embedded IoT platforms in smart homes
Design of a systolic array accelerator for deep neural networks on FPGA
Development of real-time hardware-based intrusion detection systems
Research on cache coherence in distributed heterogeneous memory systems
Thesis on hardware-software co-optimization in mobile processor SoCs
Implementation of computer vision pipelines on resource-constrained hardware
Design of a cloud-to-edge low-latency video streaming architecture
Evaluation of quantum-dot cellular automata in nanoscale digital logic
Thesis on secure bootloaders and firmware verification protocols in medical devices
Invent secure, powerful computing systems with doctoral research in computer engineering.
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