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Arghavan Mohammadhassani
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2020 – today
- 2025
- [c9]Sarah Johari, Arghavan Mohammadhassani, Anup Das:
A Framework for Automatic Synthesis of Neuromorphic Architectures with Heterogeneous Integration of CMOS and Memristors. ISCAS 2025: 1-5 - [c8]Arghavan Mohammadhassani, Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das:
A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs. ISCAS 2025: 1-5 - [c7]Arghavan Mohammadhassani, Sarah Johari, Krupa Tishbi, Anup Das:
Improving Scalability of NoC-Based Neuromorphic Hardware with Compressed AER (C-AER) Protocol. ISCAS 2025: 1-5 - 2024
- [c6]Shadi Matinizadeh, Arghavan Mohammadhassani, M. Lakshmi Varshika, Sarah Johari, Nagarajan Kandasamy, Anup Das:
QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware. IEEECONF 2024: 1527-1531 - [c5]Shadi Matinizadeh, Sarah Johari, Arghavan Mohammadhassani, Anup Das:
Towards Biology-Inspired Fault Tolerance of Neuromorphic Hardware for Space Applications. DFT 2024: 1-7 - [c4]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:
Neuromorphic Computing for the Masses. ICONS 2024: 39-46 - [c3]Sarah Johari, Arghavan Mohammadhassani, M. Lakshmi Varshika, Anup Das:
CMOS-Memristor Hybrid Design of A Neuromorphic Crossbar Array with Integrated Inference and Training. MWSCAS 2024: 442-446 - [c2]Shadi Matinizadeh, Arghavan Mohammadhassani, Noah Pacik-Nelson, Ioannis Polykretis, Abhishek Kumar Mishra, James A. Shackleford, Nagarajan Kandasamy, Eric M. Gallo
, Anup Das:
A Fully-Configurable Digital Spiking Neuromorphic Hardware Design with Variable Quantization and Mixed Precision. MWSCAS 2024: 937-941 - [i1]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:
A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture. CoRR abs/2404.02248 (2024) - 2023
- [c1]Arghavan Mohammadhassani
, Anup Das
:
Improving Performance of Network-on-Memory Architectures via (De-)/Compression-in-DRAM. SLIP 2023: 4:1-4:10
2010 – 2019
- 2019
- [j1]Mohammad Amin Mosayebi, Arghavan Mohammadhassani
, Masoud Dehyadegari:
Enhanced graph processing in PIM accelerators with improved queue management. Microelectron. J. 94 (2019)
Coauthor Index

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