Abhishek Kumar Mishra, Anup Das, Nagarajan Kandasamy (2024).
"Model-Based Approach Towards Correctness Checking of Neuromorphic Computing Systems"
2024 IEEE 29th Pacific Rim International Symposium on Dependable Computing (PRDC) [PDF]
Abhishek Kumar Mishra, Suman Kumar, Anush Lingamoorthy, Anup Das, Nagarajan Kandasamy (2024).
"Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification"
2024 IEEE International Test Conference (ITC) [PDF]
Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Krupa Tishbi, Suman Kumar, M. L. Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy, James Shackleford, Eric Gallo, and Anup Das (2024).
"Neuromorphic computing for the masses"
2024 IEEE 7th International Conference on Neuromorphic Systems (ICONS) [PDF]
Anush Niranjan Lingamoorthy, Abhishek Kumar Mishra, Suman Kumar, David Gordon, Jacob Brenner, Nagarajan Kandasamy, and Amanda Watson (2024).
"Drug Overdose Vital-Signs Evaluator Using Machine Learning"
2024 33rd International Joint Conference onArtificial Intelligence (IJCAI) [PDF]
Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretisl, Abhishek Kumar Mishra, James Shackleford, Nagarajan Kandasamy, Eric Gallo, and Anup Das (2024).
"A Fully-Configurable Digital Spiking Neuromorphic Hardware Design with Variable Quantization and Mixed Precision"
2024 IEEE 67th International Midwest Symposium on Circuits and Systems (MWSCAS) [PDF]
Abhishek Kumar Mishra, Mohammad Ershad Shaik, Anush Lingamoorthy, Suman Kumar, Anup Das, Nagarajan Kandasamy, and Nur A. Touba (2024).
"WaferCap: Open Classification of Wafer Map Patterns using Deep Capsule Network"
2024 IEEE 42nd VLSI Test Symposium (VTS) [PDF]
Mohammad Ershad Shaik, Abhishek Kumar Mishra and Yonghyun Kim (2023).
"Predicting the Silent Data Error Prone Devices Using Machine Learning"
2023 IEEE 41st VLSI Test Symposium (VTS) [PDF]
Abhishek Kumar Mishra, Anup Das and Nagarajan Kandasamy (2023).
"Online Performance Monitoring of Neuromorphic Computing Systems"
2023 IEEE European Test Symposium (ETS) [PDF]
M.L.Varshika, Abhishek Kumar Mishra, Nagarajan Kandasamy and Anup Das (2023).
"Hardware-Software Co-Design for On-chip Learning in AI Systems"
Proceedings of the 28th Asia and South Pacific Design Automation Conference [PDF]
Abhishek Kumar Mishra, Anup Das and Nagarajan Kandasamy (2022).
"Built-In Functional Testing of Analog In-Memory Accelerators for Deep Neural Networks"
Electronics [PDF]
Abhishek Kumar Mishra and Mohna Chakraborty* (2021). Does local pruning offer task-specific models to learn effectively?
Proceedings of the Student Research Workshop Associated with RANLP 2021 [PDF] * equal contributions
