UVA’s MS in Computer Engineering offers advanced training in both hardware and software systems. Students explore embedded computing, digital systems design, system-on-chip architecture, and cybersecurity. The program is ideal for engineers looking to specialize in low-power design, FPGA prototyping, and high-performance computation.
FPGA-based real-time object detection for autonomous drones
Design of low-power ASIC for wearable healthcare devices
Hardware acceleration of deep learning inference using Tensor cores
Neural network deployment on resource-constrained microcontrollers
Side-channel attack resistance in IoT device encryption
System-on-chip (SoC) design for smart home automation platforms
Adaptive voltage scaling for energy-efficient processors
Secure boot architecture for embedded Linux devices
High-throughput memory controllers for edge AI applications
Thermal-aware floorplanning in multicore chip design
Clock synchronization in distributed embedded sensor arrays
Design of fault-tolerant architectures for space electronics
Remote firmware update protocol design for connected vehicles
Ultra-low-latency processor design for AR/VR workloads
FPGA-based reconfigurable computing for genomic analysis
Power-aware scheduling in embedded real-time systems
Cross-layer co-design for ML and embedded hardware
Design intelligent, efficient computing systems with UVA’s advanced MS in Computer Engineering.
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