Area of research
Electrical and Electronic Engineering · Artificial Intelligence
Research interest
Research interests include Computer science, Ferroelectricity, Non-volatile memory, Neuromorphic engineering, Materials science, and Optoelectronics.
Ferroelectric-based neuromorphic memory devices for bio-inspired computing
Multi-state nonvolatile capacitances in HfO2-based ferroelectric capacitor for neuromorphic computing
Ferroelectric-defined reconfigurable homojunctions for in-memory sensing and computing
Short-term synaptic plasticity in emerging devices for neuromorphic computing
HARDSEA: Hybrid Analog-ReRAM Clustering and Digital-SRAM In-Memory Computing Accelerator for Dynamic Sparse Self-Attention in Transformer