Ashok Kumar

Orcid: 0000-0002-9740-1219

Affiliations:
  • University of Louisiana at Lafayette, LA, USA (PhD 1999)


According to our database1, Ashok Kumar authored at least 53 papers between 1999 and 2023.

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

Timeline

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Bibliography

2023
Low-Power Convolutional Neural Network Accelerator on FPGA.
Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2022
Designing Novel AAD Pooling in Hardware for a Convolutional Neural Network Accelerator.
IEEE Trans. Very Large Scale Integr. Syst., 2022

Reconfigurable Hardware Design Approach for Economic Neural Network.
IEEE Trans. Circuits Syst. II Express Briefs, 2022

Adaptive Hardware Architecture for Neural-Network-on-Chip.
Proceedings of the 65th IEEE International Midwest Symposium on Circuits and Systems, 2022

A Resource-Saving Energy-Efficient Reconfigurable Hardware Accelerator for BERT-based Deep Neural Network Language Models using FFT Multiplication.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

A Cost-Efficient Reversible-Based Reconfigurable Ring Oscillator Physical Unclonable Function.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

An Economic Uniqueness-Improved Reliable Reconfigurable RO PUF for IoT Security.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Self-Healing Router Approach for High-Performance Network-on-Chip.
IEEE Open J. Circuits Syst., 2021

A Cost-Efficient Reversible-Based Configurable Ring Oscillator Physical Unclonable Function.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

An Efficient Capsule Network Reconfigurable Hardware Accelerator for Deciphering Ancient Scripts with Scarce Annotations.
Proceedings of the 34th IEEE International System-on-Chip Conference, 2021

A Hybrid Capsule Network-based Deep Learning Framework for Deciphering Ancient Scripts with Scarce Annotations: A Case Study on Phoenician Epigraphy.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

An In-Situ Sliding Window Approximate Inner-Product Scheme Based on Parallel Distributed Arithmetic for Ultra-Low Power Fault-Tolerant Applications.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

An Efficient Embryonic Hardware Architecture based on Network-on-Chip.
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

A Reversible-Logic based Architecture for Convolutional Neural Network (CNN).
Proceedings of the 64th IEEE International Midwest Symposium on Circuits and Systems, 2021

A Reversible-Logic Based Architecture for Long Short-Term Memory (LSTM) Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

An Efficient Reconfigurable Neural Network on Chip.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

A Reversible-Logic based Architecture for VGGNet.
Proceedings of the 28th IEEE International Conference on Electronics, 2021

2020
Machine Learning-Based Approach for Hardware Faults Prediction.
IEEE Trans. Circuits Syst., 2020

Intelligent Fault-Prediction Assisted Self-Healing for Embryonic Hardware.
IEEE Trans. Biomed. Circuits Syst., 2020

Dynamically Reconfigurable Deep Learning for Efficient Video Processing in Smart IoT Systems.
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Architecture of A Novel Low-Cost Hardware Neural Network.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

A Reversible-Logic based Architecture for Artificial Neural Network.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

A Novel Design Reversible Logic Based Configurable Fault-Tolerant Embryonic Hardware.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019
Economic LSTM Approach for Recurrent Neural Networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2019

Self-healing hardware systems: A review.
Microelectron. J., 2019

A Speed and Energy Focused Framework for Dynamic Hardware Reconfiguration.
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

N<sup>2</sup> OC: Neural-Network-on-Chip Architecture.
Proceedings of the 32nd IEEE International System-on-Chip Conference, 2019

A Novel Reconfigurable Hardware Architecture of Neural Network.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

Self-Healing Approach for Hardware Neural Network Architecture.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

A Novel Design Gate based Low-Cost Configurable RO PUF using Reversible Logic.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

Demystifying Emerging Nonvolatile Memory Technologies: Understanding Advantages, Challenges, Trends, and Novel Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Unsupervised Ranking of Numerical Observations based on Magnetic Properties and Correlation Coefficient.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

2018
Flexible Self-Healing Router for Reliable and High-Performance Network-an-Chips Architecture.
Proceedings of the 31st IEEE International System-on-Chip Conference, 2018

An Efficient Approach for Neural Network Architecture.
Proceedings of the 25th IEEE International Conference on Electronics, Circuits and Systems, 2018

2017
Real-time streaming challenges in Internet of Video Things (IoVT).
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2007
A network of sensor-based framework for automated visual surveillance.
J. Netw. Comput. Appl., 2007

A framework for assessing residual energy in wireless sensor network.
Int. J. Sens. Networks, 2007

Design and Realization of Analog Phi-Function for LDPC Decoder.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

Pixel-Level Image Fusion Scheme based on Linear Algebra.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007

2006
Intelligent Mechanisms for Energy Reduction in Design of Wireless Sensor Networks using Learning Methods.
Proceedings of the Integrated Intelligent Systems for Engineering Design, 2006

Design of Robust, Energy-Efficient Full Adders for Deep-Submicrometer Design Using Hybrid-CMOS Logic Style.
IEEE Trans. Very Large Scale Integr. Syst., 2006

2005
Efficient shield insertion for inductive noise reduction in nanometer technologies.
IEEE Trans. Very Large Scale Integr. Syst., 2005

A Fast Scheduling Algorithm for Low Power Design.
J. Circuits Syst. Comput., 2005

Autonomous Decentralized Systems Based Approach to Object Detection in Sensor Clusters.
IEICE Trans. Commun., 2005

Low complexity decimation filter for multi-standard digital receivers.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

A new gate-level body biasing technique for PMOS transistors in subthreshold CMOS circuits.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

A systematic framework for high throughput MAP decoder VLSI architectures.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

An Architecture for Automated Scene Understanding.
Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005

2004
A methodology for low power scheduling with resources operating at multiple voltages.
Integr., 2004

1999
Minimizing switchings of the function units through binding for low power.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Multiple voltage-based scheduling methodology for low power in the high level synthesis.
Proceedings of the 1999 International Symposium on Circuits and Systems, ISCAS 1999, Orlando, Florida, USA, May 30, 1999

Methodologies for binding function units for low power in high level synthesis.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

Novel Formulations for Low-Power Binding of Function Units in High-Level Synthesis.
Proceedings of the IEEE International Conference On Computer Design, 1999


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