معرفی
Ning Li is an Associate Professor in Electrical Engineering, with a focus on in-memory computing, phase-change memory, and deep learning acceleration. Their research spans hardware-aware training, analog memory device reliability, and energy-efficient AI systems.
- Key Research Areas: Phase-change memory, In-memory computing, Neural networks, Analog computing, Memory cell design, Resistance drift mitigation.
Recent Publications highlight innovations in:
- Optimizing phase-change memory devices for low-resistance drift
- Hardware-aware training to maintain accuracy in analog compute-in-memory systems
- Energy efficiency improvements via drift-aware mapping of neural network weights
Collaborations include institutions in the United States and Singapore, contributing to UN Sustainable Development Goals related to industry innovation and affordable clean energy.
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