Robust neuromorphic computing in the presence of process variation. - Ali BanaGozar; Mohammad Ali Maleki; Mehdi Kamal; Ali Afzali-Kusha; Massoud Pedram (DATE, 2017)

Artificial neural networks based on memristive devices. - Vignesh Ravichandran; Can Li; Ali BanaGozar; J. Joshua Yang; Qiangfei Xia (Sci. China Inf. Sci., 2018)

PHAX: Physical Characteristics Aware Ex-Situ Training Framework for Inverter-Based Memristive Neuromorphic Circuits. - Mohammad Ansari; Arash Fayyazi; Ali BanaGozar; Mohammad Ali Maleki; Mehdi Kamal; Ali Afzali-Kusha; Massoud Pedram (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

CIM-SIM: Computation In Memory SIMuIator. - Ali BanaGozar; Kanishkan Vadivel; Sander Stuijk; Henk Corporaal; Stephan Wong; Muath Abu Lebdeh; Jintao Yu; Said Hamdioui (SCOPES, 2019)

TDO-CIM: Transparent Detection and Offloading for Computation In-memory. - Kanishkan Vadivel; Lorenzo Chelini; Ali BanaGozar; Gagandeep Singh 002; Stefano Corda; Roel Jordans; Henk Corporaal (DATE, 2020)

System Simulation of Memristor Based Computation in Memory Platforms. - Ali BanaGozar; Kanishkan Vadivel; Joonas Multanen; Pekka Jääskeläinen; Sander Stuijk; Henk Corporaal (SAMOS, 2020)

NeuroVP: A System-Level Virtual Platform for Integration of Neuromorphic Accelerators. - Melvin Galicia; Ali BanaGozar; Karl J. X. Sturm; Felix Staudigl; Sander Stuijk; Henk Corporaal; Rainer Leupers (SoCC, 2021)

SySCIM: SystemC-AMS Simulation of Memristive Computation In-Memory. - Seyed Hossein Hashemi Shadmehri; Ali BanaGozar; Mehdi Kamal; Sander Stuijk; Ali Afzali-Kusha; Massoud Pedram; Henk Corporaal (DATE, 2022)

SACA: System-level Analog CIM Accelerators Simulation Framework: Accurate Simulation of Non-Ideal Components. - Fernando García-Redondo; Ali BanaGozar; Kanishkan Vadivel; Henk Corporaal; Shidhartha Das (DCIS, 2022)

SACA: System-level Analog CIM Accelerators Simulation Framework: Architecture and Cycle-accurate System-to-device Simulator. - Kanishkan Vadivel; Fernando García-Redondo; Ali BanaGozar; Henk Corporaal; Shidhartha Das (DCIS, 2022)

ReMeCo: Reliable Memristor-Based in-Memory Neuromorphic Computation. - Ali BanaGozar; Seyed Hossein Hashemi Shadmehri; Sander Stuijk; Mehdi Kamal; Ali Afzali-Kusha; Henk Corporaal (ASP-DAC, 2023)

Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference. - Joyjit Kundu; Wenzhe Guo; Ali BanaGozar; Udari De Alwis; Sourav Sengupta 001; Puneet Gupta; Arindam Mallik (IISWC, 2024)