Configurable architecture for memory BIST. - Atieh Lotfi; Parisa Kabiri; Zainalabedin Navabi (EWDTS, 2011)

Architectural vulnerability aware checkpoint placement in a multicore processor. - Atieh Lotfi; Arash Bayat; Saeed Safari (IOLTS, 2012)

A fine-grain distortion and complexity aware parameter tuning model for the H.264/AVC encoder. - Mehdi Semsarzadeh; Atieh Lotfi; Mahmoud Reza Hashemi; Shervin Shirmohammadi (Signal Process. Image Commun., 2013)

Aging-Aware Compilation for GP-GPUs. - Atieh Lotfi; Abbas Rahimi; Luca Benini; Rajesh K. Gupta 001 (ACM Trans. Archit. Code Optim., 2015)

Grater: An approximation workflow for exploiting data-level parallelism in FPGA acceleration. - Atieh Lotfi; Abbas Rahimi; Amir Yazdanbakhsh; Hadi Esmaeilzadeh; Rajesh K. Gupta 001 (DATE, 2016)

RxRE: Throughput Optimization for High-Level Synthesis using Resource-Aware Regularity Extraction (Abstract Only). - Atieh Lotfi; Rajesh K. Gupta 001 (FPGA, 2017)

ReHLS: Resource-Aware Program Transformation Workflow for High-Level Synthesis. - Atieh Lotfi; Rajesh K. Gupta 001 (ICCD, 2017)

Low Overhead Tag Error Mitigation for GPU Architectures. - Atieh Lotfi; Nirmal R. Saxena; Richard Bramley; Paul Racunas; Philip P. Shirvani (DSN, 2018)

Fault-susceptibility Mitigation and Efficient Use of Resources in Programmable Hardware Accelerators. - Atieh Lotfi (2018)

Accelerating Local Binary Pattern Networks with Software-Programmable FPGAs. - Jeng-Hau Lin; Atieh Lotfi; Vahideh Akhlaghi; Zhuowen Tu; Rajesh K. Gupta 001 (DATE, 2019)

Resiliency of automotive object detection networks on GPU architectures. - Atieh Lotfi; Saurabh Hukerikar; Keshav Balasubramanian; Paul Racunas; Nirmal R. Saxena; Richard Bramley; Yanxiang Huang (ITC, 2019)

Error Model (EM) - A New Way of Doing Fault Simulation. - Nirmal R. Saxena; Atieh Lotfi (ITC, 2022)

Optimizing Large-Scale Fault Injection Experiments through Martingale Hypothesis: A Systematic Approach for Reliability Assessment of Safety-Critical Systems. - Saurabh Hukerikar; Atieh Lotfi; Yanxiang Huang; Jason Campbell; Nirmal R. Saxena (DSN-S, 2024)