About me

This is Hanrui’s homepage!

Hi, there! This is Hanrui Li, a MS/PhD student in Smart, Advanced Memory devices and Applications Lab working with Prof. Nazek El-Atab at King Abdullah University of Science & Technology (KAUST) from 2022-fall.

From June.2021 to March.2022, I was a research assitant at CenBRAIN Neurotech, Westlake University working with Prof. Mohamad SAWAN (Chair Professor, FIEEE, FCAE) & Dr. Jie YANG. I ever worked as Research Assistant in two labs at my bachelor school. Now my research interest lie in Neuromorphic Computing and Smart memory device. Please feel free to contact me if you have any questions. My e-mails: hanrui.li@kaust.edu.sa

My future goal is to become a scientist or engineer. I will always focus on the field of electronic&computer engineering and chase the most cutting-edge technology!

======News======

I received Dean’s list award of KAUST with 2500 USD🎉🎉

Paper “NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health Care” was submitted to IEEE BioCAS 2023

Paper “Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea” was submitted to Sensors.

Paper “Solution Processable Mos2 Based Memristive Synapse for Brain Inspired Computing” was submitted to IEEE NANO 2023.

Paper “Artificial visual perception neural system using a solution-processable MoS2-based in-memory light sensor” was submitted to Light science & application🎉🎉

Paper “Flexible Solution Processable Black Phosphorus Based Optoelectronic Memristive Synapse” was submitted to Advanced Materials🎉🎉

Paper “Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN” was submitted to IEEE AICAS 2023.

Paper “Mimicking Synaptic Behaviors with Junctionless Transistor for Low Power Neuromorphic Computing” was submitted to IEEE ICEE 2022.

Paper “Controlling the Skyrmion Density and Size for Quantized Convolutional Neural Networks” was under review of Scientific Report.

Paper “Voltage-Gated Domain Wall Magnetic Tunnel Junction for Neuromorphic Computing Applications” was submitted to IEEE TED.

Paper “Vertically Stacked Nanosheet FET” was submitted to IEEE TED.

Paper “Real-time Biosignal Recording and Machine-Learning Analysis System” was submitted to IEEE AICAS 2022