Enhanced graph processing in PIM accelerators with improved queue management. - Mohammad Amin Mosayebi; Arghavan Mohammadhassani; Masoud Dehyadegari (Microelectron. J., 2019)

Improving Performance of Network-on-Memory Architectures via (De-)/Compression-in-DRAM. - Arghavan Mohammadhassani; Anup Das 001 (SLIP, 2023)

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)

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)

CMOS-Memristor Hybrid Design of A Neuromorphic Crossbar Array with Integrated Inference and Training. - Sarah Johari; Arghavan Mohammadhassani; M. Lakshmi Varshika; Anup Das 001 (MWSCAS, 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 Framework for Automatic Synthesis of Neuromorphic Architectures with Heterogeneous Integration of CMOS and Memristors. - Sarah Johari; Arghavan Mohammadhassani; Anup Das 001 (ISCAS, 2025)

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)

Improving Scalability of NoC-Based Neuromorphic Hardware with Compressed AER (C-AER) Protocol. - Arghavan Mohammadhassani; Sarah Johari; Krupa Tishbi; Anup Das 001 (ISCAS, 2025)