QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware. - Shadi Matinizadeh; Arghavan Mohammadhassani; M. Lakshmi Varshika; Sarah Johari; Nagarajan Kandasamy; Anup Das 001 (IEEECONF, 2024)

Towards Biology-Inspired Fault Tolerance of Neuromorphic Hardware for Space Applications. - Shadi Matinizadeh; Sarah Johari; Arghavan Mohammadhassani; Anup Das 001 (DFT, 2024)

An Open-Source And Extensible Framework for Fast Prototyping and Benchmarking of Spiking Neural Network Hardware. - Shadi Matinizadeh; Anup Das 001 (FPL, 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 001 (ICONS, 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 001 (MWSCAS, 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; Anupam Das 001 (CoRR, 2024)

A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs. - Arghavan Mohammadhassani; Shadi Matinizadeh; M. Lakshmi Varshika; Anup Das 001 (ISCAS, 2025)