UMD’s PhD in Computer Engineering integrates electrical engineering and computer science to develop secure hardware, embedded systems, and reconfigurable computing platforms. Students lead advanced research in cybersecurity, robotics, AI hardware, and edge computing.
Design of an FPGA-based accelerator for deep learning inference
Development of fault-tolerant embedded systems for space applications
Power-aware hardware architecture for wearable medical devices
Side-channel attack detection in cryptographic hardware modules
Real-time embedded system for autonomous ground vehicle navigation
Design of secure boot chains in embedded IoT platforms
Robotic vision system using high-speed parallel processing
Implementation of low-latency wireless protocols for sensor networks
Modeling performance tradeoffs in heterogeneous SoC architectures
Simulation of interconnect delays in 3D chip designs
Hardware prototype for drone swarm coordination algorithms
Design of hardware support for post-quantum cryptography algorithms
Custom processor development for biomedical signal analysis
Hardware-in-the-loop testing framework for smart grid devices
Development of neural interface chips for BCI applications
Energy harvesting systems for ultra-low-power edge computing
Security protocol co-design for processor-in-memory systems
IoT platform architecture for industrial automation systems
Verilog implementation of asynchronous computing architectures
Evaluation of logic obfuscation techniques for anti-piracy protection
Lead the future of embedded, secure, and intelligent systems through hardware innovation in UMD’s Computer Engineering PhD.
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