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
