Bipin Rajendran

Bipin Rajendran

King's College

H-index: 37

North America-United States

About Bipin Rajendran

Bipin Rajendran, With an exceptional h-index of 37 and a recent h-index of 31 (since 2020), a distinguished researcher at King's College, specializes in the field of Nanoscale logic and memory devices, neuromorphic computation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing

Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design

Ultra-Low Power Neuromorphic Obstacle Detection Using a Two-Dimensional Materials-Based Subthreshold Transistor

A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces

Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity

Spiking generative adversarial networks with a neural network discriminator: Local training, bayesian models, and continual meta-learning

Towards the Application of Neuromorphic Computing to Satellite Communications

Hybrid in-memory computing architecture for the training of deep neural networks

Bipin Rajendran Information

University

Position

Reader in Engineering at

Citations(all)

9550

Citations(since 2020)

5377

Cited By

6273

hIndex(all)

37

hIndex(since 2020)

31

i10Index(all)

63

i10Index(since 2020)

50

Email

University Profile Page

Google Scholar

Bipin Rajendran Skills & Research Interests

Nanoscale logic and memory devices

neuromorphic computation

Top articles of Bipin Rajendran

Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing

IEEE Transactions on Machine Learning in Communications and Networking

2024/1/10

Towards Efficient and Trustworthy AI Through Hardware-Algorithm-Communication Co-Design

arXiv preprint arXiv:2309.15942

2023/9/27

Bipin Rajendran
Bipin Rajendran

H-Index: 28

Osvaldo Simeone
Osvaldo Simeone

H-Index: 39

Ultra-Low Power Neuromorphic Obstacle Detection Using a Two-Dimensional Materials-Based Subthreshold Transistor

npj 2D Materials and Applications

2023

A Convolutional Spiking Network for Gesture Recognition in Brain-Computer Interfaces

2023

Bipin Rajendran
Bipin Rajendran

H-Index: 28

Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity

2023

Spiking generative adversarial networks with a neural network discriminator: Local training, bayesian models, and continual meta-learning

IEEE Transactions on Computers

2022/7/18

Osvaldo Simeone
Osvaldo Simeone

H-Index: 39

Bipin Rajendran
Bipin Rajendran

H-Index: 28

Towards the Application of Neuromorphic Computing to Satellite Communications

Towards the Application of Neuromorphic Computing to Satellite Communications

2022

Hybrid in-memory computing architecture for the training of deep neural networks

2021/5/22

Fast on-device adaptation for spiking neural networks via online-within-online meta-learning

2021/6/5

Bipin Rajendran
Bipin Rajendran

H-Index: 28

Osvaldo Simeone
Osvaldo Simeone

H-Index: 39

Memristors—From in‐memory computing, deep learning acceleration, and spiking neural networks to the future of neuromorphic and bio‐inspired computing

2020/11

ESSOP: Efficient and scalable stochastic outer product architecture for deep learning

2020/10/12

Vinay Joshi
Vinay Joshi

H-Index: 4

Bipin Rajendran
Bipin Rajendran

H-Index: 28

Accurate deep neural network inference using computational phase-change memory

Nature communications

2020/5/18

Vinay Joshi
Vinay Joshi

H-Index: 4

Bipin Rajendran
Bipin Rajendran

H-Index: 28

Experimental demonstration of supervised learning in spiking neural networks with phase-change memory synapses

Scientific reports

2020/5/15

Bipin Rajendran
Bipin Rajendran

H-Index: 28

Mixed-precision deep learning based on computational memory

Frontiers in neuroscience

2020/5/12

Bio-mimetic synaptic plasticity and learning in a sub-500 mV Cu/SiO2/W memristor

Microelectronic Engineering

2020/4/1

Bipin Rajendran
Bipin Rajendran

H-Index: 28

An on-chip learning accelerator for spiking neural networks using stt-ram crossbar arrays

2020/3/9

Training multi-layer spiking neural networks using NormAD based spatio-temporal error backpropagation

Neurocomputing

2020/3/7

Bipin Rajendran
Bipin Rajendran

H-Index: 28

See List of Professors in Bipin Rajendran University(King's College)