Abhishek Kumar Mishra

According to our database, Abhishek Kumar Mishra authored at least 18 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Fuzzy Encoding-Decoding to Improve Spiking Q-Learning Performance in Autonomous Driving.

Aref Ghoreishee, Abhishek Kumar Mishra, Lifeng Zhou, John Walsh, Anup Das, Nagarajan Kandasamy

CoRR, April, 2026

Efficient Aspect Term Extraction using Spiking Neural Network.

Abhishek Kumar Mishra, Arya Somasundaram, Anup Das, Nagarajan Kandasamy

CoRR, January, 2026

A Reinforcement Learning Framework for Good Die in Bad Neighborhood Analysis.

Mohammad Ershad Shaik, Abhishek Kumar Mishra, Nagarajan Kandasamy, Nur A. Touba

Proceedings of the Design, Automation & Test in Europe Conference, 2026

HypoxSpike: Ternary Spiking Neural Network for Opioid Overdose Detection.

Anush Niranjan Lingamoorthy, Abhishek Kumar Mishra, Olumuyiwa Oni, Jacob S. Brenner, Nagarajan Kandasamy, Amanda Watson

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

New Spiking Architecture for Multi-Modal Decision-Making in Autonomous Vehicles.

Aref Ghoreishee, Abhishek Kumar Mishra, Lifeng Zhou, John Walsh, Nagarajan Kandasamy

CoRR, December, 2025

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons.

Aref Ghoreishee, Abhishek Kumar Mishra, John Walsh, Anup Das, Nagarajan Kandasamy

CoRR, June, 2025

Hierarchical Model-Based Approach for Concurrent Testing of Neuromorphic Architecture.

Suman Kumar, Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy

Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

A Multi-Modal Attention-Based Framework for Good Die in Bad Neighborhood Methodology.

Mohammad Ershad Shaik, Abhishek Kumar Mishra, Nagarajan Kandasamy, Nur A. Touba

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2025

2024

A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture.

Shadi Matinizadeh, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. Lakshmi Varshika, Arghavan Mohammadhassani, Abhishek Kumar Mishra, Nagarajan Kandasamy, James A. Shackleford, Eric M. Gallo, Anup Das

CoRR, 2024

WaferCap: Open Classification of Wafer Map Patterns using Deep Capsule Network.

Abhishek Kumar Mishra, Mohammad Ershad Shaik, Anush Niranjan Lingamoorthy, Suman Kumar, Anup Das, Nagarajan Kandasamy, Nur A. Touba

Proceedings of the 42nd IEEE VLSI Test Symposium, 2024

Model-Based Approach Towards Correctness Checking of Neuromorphic Computing Systems.

Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy

Proceedings of the 29th IEEE Pacific Rim International Symposium on Dependable Computing, 2024

A Fully-Configurable Digital Spiking Neuromorphic Hardware Design with Variable Quantization and Mixed Precision.

Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Abhishek Kumar Mishra, James A. Shackleford, Nagarajan Kandasamy, Eric M. Gallo, Anup Das

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification.

Abhishek Kumar Mishra, Suman Kumar, Anush Niranjan Lingamoorthy, Anup Das, Nagarajan Kandasamy

Proceedings of the IEEE International Test Conference, 2024

Drug Overdose Vital-Signs Evaluator Using Machine Learning.

Anush Niranjan Lingamoorthy, Abhishek Kumar Mishra, Suman Kumar, David Gordon, Jacob S. Brenner, Nagarajan Kandasamy, Amanda Watson

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Neuromorphic Computing for the Masses.

Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, James A. Shackleford, Eric M. Gallo, Anup Das

Proceedings of the International Conference on Neuromorphic Systems, 2024

2023

Predicting the Silent Data Error Prone Devices Using Machine Learning.

Mohammad Ershad Shaik, Abhishek Kumar Mishra, Yonghyun Kim

Proceedings of the 41st IEEE VLSI Test Symposium, 2023

Online Performance Monitoring of Neuromorphic Computing Systems.

Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy

Proceedings of the IEEE European Test Symposium, 2023

Hardware-Software Co-Design for On-Chip Learning in AI Systems.

M. Lakshmi Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, Anup Das

Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023