Md Hasibul Amin

According to our database, Md Hasibul Amin authored at least 10 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units.

Mohammed E. Elbtity, Brendan Reidy, Md Hasibul Amin, Ramtin Zand

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

IMAC-Sim: : A Circuit-level Simulator For In-Memory Analog Computing Architectures.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

Xbar-Partitioning: A Practical Way for Parasitics and Noise Tolerance in Analog IMC Circuits.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

Detecting Conspiracy Theory Against COVID-19 Vaccines.

Md Hasibul Amin, Harika Madanu, Sahithi Lavu, Hadi Mansourifar, Dana Alsagheer, Weidong Shi

CoRR, 2022

Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

CoRR, 2022

A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

CoRR, 2022

Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures.

Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

MRAM-based Analog Sigmoid Function for In-memory Computing.

Md Hasibul Amin, Mohammed E. Elbtity, Mohammadreza Mohammadi, Ramtin Zand

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2020

Stress Detection from Different Environments for VIP Using EEG Signals and Machine Learning Algorithms.

Mohammad Safkat Karim, Abdullah Al Rafsan, Tahmina Rahman Surovi, Md. Hasibul Amin, Mohammad Zavid Parvez

Proceedings of the Intelligent Human Computer Interaction, 2020

2019

Ab initio Theoretical Investigation of Dopants for Ultrahigh Conductivities in Single Wall Carbon Nanotubes.

Md Latifur Rahman, Md Hasibul Amin, Ahmed Zubair

Proceedings of the TENCON 2019, 2019