Area of research
Electrical and Electronic Engineering · Cellular and Molecular Neuroscience
Research interest
Research interests include Advanced Memory and Neural Computing, Ferroelectric and Negative Capacitance Devices, Neuroscience and Neural Engineering, and Semiconductor materials and devices.
Bio-plausible reconfigurable spiking neuron for neuromorphic computing
Resistive memory-based zero-shot liquid state machine for multimodal event data learning
Firing feature-driven neural circuits with scalable memristive neurons for robotic obstacle avoidance
Multi-state nonvolatile capacitances in HfO2-based ferroelectric capacitor for neuromorphic computing
Thousands of conductance levels in memristors integrated on CMOS
Short-term synaptic plasticity in emerging devices for neuromorphic computing
A low-power vertical dual-gate neurotransistor with short-term memory for high energy-efficient neuromorphic computing
Compact artificial neuron based on anti-ferroelectric transistor
Roadmap on emerging hardware and technology for machine learning
High-performance green flexible electronics based on biodegradable cellulose nanofibril paper