UC’s PhD in EECS fuses hardware innovation with algorithmic breakthroughs, driving advances in semiconductors, robotics, AI and ubiquitous computing.
RISC-V core extension accelerating fully homomorphic-encryption workloads
Neuromorphic memristor array implementing hippocampal sequence learning
On-device federated-learning accelerator for health-monitoring wearables
Millimeter-wave phased-array transceiver architecture for 6 G communications
Chiplet-based heterogeneous integration workflow for AI / 5 G SoCs
Spin-orbit-torque MRAM cell design reducing write energy by 50 %
Edge-AI video-analytics system for smart-intersection pedestrian safety
Time-synchronized mesh network protocol enabling 1 µs industrial IoT latency
Quantum-dot infrared imager read-out circuit for autonomous night vision
Secure-boot architecture resisting differential-fault attacks on medical implants
Photonic neural-network accelerator using silicon microring weight banks
Robotic arm with capacitive-tactile skin learning dexterous manipulation via DRL
Li-ion battery state-of-health estimator with Kalman-filter neural hybrid
Open-source power-intent verification plug-in for EDA toolchains
Energy-harvesting rectenna powering distributed wildfire-sensor motes
Policy brief on semiconductor supply-chain resilience and national security
Augmented-reality debugger visualizing voltage droop across active die regions
White paper on ethical AI hardware co-design for sustainability
Workshop series teaching PCB layout to under-represented engineering students
Public demo kit illustrating magnetic-levitation control with PID tuning
Invent the hardware-software future with UC’s trail-blazing PhD.
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