Shadi Matinizadeh

According to our database, Shadi Matinizadeh authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs.

Arghavan Mohammadhassani, Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das

Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Optimizing Memory Latency and Bandwidth of Spiking Neural Network Accelerators on FPGA via Sparse Hashing.

Shadi Matinizadeh, M. Lakshmi Varshika, Anup Das

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

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, Anup Das

CoRR, 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

Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 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

Proceedings of the International Conference on Neuromorphic Systems, 2024

An Open-Source And Extensible Framework for Fast Prototyping and Benchmarking of Spiking Neural Network Hardware.

Shadi Matinizadeh, Anup Das

Proceedings of the 34th International Conference on Field-Programmable Logic and Applications, 2024

Towards Biology-Inspired Fault Tolerance of Neuromorphic Hardware for Space Applications.

Shadi Matinizadeh, Sarah Johari, Arghavan Mohammadhassani, Anup Das

Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 2024

QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware.

Shadi Matinizadeh, Arghavan Mohammadhassani, M. Lakshmi Varshika, Sarah Johari, Nagarajan Kandasamy, Anup Das

Proceedings of the 58th Asilomar Conference on Signals, 2024