Vishnu P. Nambiar

Orcid: 0000-0001-5570-5911

According to our database1, Vishnu P. Nambiar authored at least 24 papers between 2009 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
A 2.5 μW KWS Engine With Pruned LSTM and Embedded MFCC for IoT Applications.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

A 1800μm<sup>2</sup>, 953Gbps/W AES Accelerator for IoT Applications in 40nm CMOS.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

0.08mm<sup>2</sup> 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
A Low Power and Low Area Router With Congestion-Aware Routing Algorithm for Spiking Neural Network Hardware Implementations.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A Low-Cost High-Throughput Digital Design of Biorealistic Spiking Neuron.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

Energy Efficient 0.5V 4.8pJ/SOP 0.93μW Leakage/Core Neuromorphic Processor Design.
IEEE Trans. Circuits Syst. II Express Briefs, 2021

A 5.28-mm² 4.5-pJ/SOP Energy-Efficient Spiking Neural Network Hardware With Reconfigurable High Processing Speed Neuron Core and Congestion-Aware Router.
IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Efficient Implementation of Activation Functions for LSTM accelerators.
Proceedings of the 29th IFIP/IEEE International Conference on Very Large Scale Integration, 2021

An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

A 2.1 pJ/SOP 40nm SNN Accelerator Featuring On-chip Transfer Learning using Delta STDP.
Proceedings of the 51st IEEE European Solid-State Device Research Conference, 2021

2020
Scalable Block-Based Spiking Neural Network Hardware with a Multiplierless Neuron Model.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Post-Silicon Validation Methodology for Resource-Constrained Neuromorphic Hardware.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

0.5V 4.8 pJ/SOP 0.93µW Leakage/core Neuromorphic Processor with Asynchronous NoC and Reconfigurable LIF Neuron.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2020

2019
Ower and Area Efficient Router with Automated Clock Gating for Neuromorphic Computing.
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

Coverage Driven Verification Methodology for Asynchronous Neuromorphic Routers.
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

Block-Based Spiking Neural Network Hardware with Deme Genetic Algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

2017
A real-time near infrared image acquisition system based on image quality assessment.
J. Real Time Image Process., 2017

2014
Hardware implementation of evolvable block-based neural networks utilizing a cost efficient sigmoid-like activation function.
Neurocomputing, 2014

Optimization of structure and system latency in evolvable block-based neural networks using genetic algorithm.
Neurocomputing, 2014

2013
HW/SW co-design of reconfigurable hardware-based genetic algorithm in FPGAs applicable to a variety of problems.
Computing, 2013

Co-simulation methodology for improved design and verification of hardware neural networks.
Proceedings of the IECON 2013, 2013

2012
GA-based parameter tuning in finger-vein biometric embedded systems for information security.
Proceedings of the 2012 1st IEEE International Conference on Communications in China (ICCC), 2012

2009
Accelerating the AES encryption function in OpenSSL for embedded systems.
Int. J. Inf. Commun. Technol., 2009


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