Ab initio Theoretical Investigation of Dopants for Ultrahigh Conductivities in Single Wall Carbon Nanotubes. - Md Latifur Rahman; Md Hasibul Amin; Ahmed Zubair (TENCON, 2019)

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 (IHCI (1), 2020)

MRAM-based Analog Sigmoid Function for In-memory Computing. - Md Hasibul Amin; Mohammed E. Elbtity; Mohammadreza Mohammadi; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2022)

Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (ISCAS, 2022)

A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2022)

Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2022)

Detecting Conspiracy Theory Against COVID-19 Vaccines. - Md Hasibul Amin; Harika Madanu; Sahithi Lavu; Hadi Mansourifar; Dana Alsagheer; Weidong Shi (CoRR, 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)

IMAC-Sim: : A Circuit-level Simulator For In-Memory Analog Computing Architectures. - Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2023)

Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units. - Mohammed E. Elbtity; Brendan Reidy; Md Hasibul Amin; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2023)

Multi-Objective Neural Architecture Search for In-Memory Computing. - Md Hasibul Amin; Mohammadreza Mohammadi; Ramtin Zand (ISVLSI, 2024)

XbarSim: A Decomposition-Based Memristive Crossbar Simulator. - Anzhelika Kolinko; Md Hasibul Amin; Ramtin Zand; Jason D. Bakos (CoRR, 2024)

LLM-IMC: Automating Analog In-Memory Computing Architecture Generation with Large Language Models. - Deepak Vungarala; Md Hasibul Amin; Pietro Mercati; Arman Roohi; Ramtin Zand; Shaahin Angizi (FCCM, 2025)

CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems. - Md Hasibul Amin; Mohammadreza Mohammadi; Jason D. Bakos; Ramtin Zand (ACM Great Lakes Symposium on VLSI, 2025)

A Decomposition-Based Memristive Crossbar Solver and FPGA-Accelerated Hardware Implementation. - Suyash Vardhan Singh; Anzhelika Kolinko; Md Hasibul Amin; Ramtin Zand; Jason D. Bakos (ACM Great Lakes Symposium on VLSI, 2025)

Magnetic In/Near-Sensor Architectures: From Raw Sensing to Smart Processing. - Sepehr Tabrizchi; Ali Shafiee Sarvestani; Md Hasibul Amin; Deniz Najafi; Shaahin Angizi; Ramtin Zand; Arman Roohi (ACM Great Lakes Symposium on VLSI, 2025)

From Prompt to Accelerator: A Perspective on LLM-Based Analog In-Memory Accelerator Design Automation. - Deepak Vungarala; Md Hasibul Amin; Arman Roohi; Arnob Ghosh; Ramtin Zand; Shaahin Angizi (ACM Great Lakes Symposium on VLSI, 2025)

LIMCA: LLM for Automating Analog In-Memory Computing Architecture Design Exploration. - Deepak Vungarala; Md Hasibul Amin; Pietro Mercati; Arnob Ghosh; Arman Roohi; Ramtin Zand; Shaahin Angizi (CoRR, 2025)

PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs. - Jinendra Malekar; Peyton Chandarana; Md Hasibul Amin; Mohammed E. Elbtity; Ramtin Zand (CoRR, 2025)