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Research
Current Projects
Design of Modular Multiplication
Algorithm-Architecture Co-Design for Energy-Efficient and Reliable Machine Learning Models
Energy-Efficient, Low-Latency Realization of Neural Networks Through Boolean Logic Minimization
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Past Projects (1999-2020)
USC SPORT: System Power Optimization and Regulation Technologies
Accurate gate modeling under variation with neural networks
Energy-aware Task Scheduling in Real-Time Systems with Hard Deadline Constraints
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