An Energy-Efficient Quaternary Serial Adder for Nanoelectronics. - Shima Sedighiani; Arman Kazemi (ISMVL, 2018)

A Device Non-Ideality Resilient Approach for Mapping Neural Networks to Crossbar Arrays. - Arman Kazemi; Cristobal Alessandri; Alan C. Seabaugh; Xiaobo Sharon Hu; Michael T. Niemier; Siddharth Joshi 001 (DAC, 2020)

A Hybrid FeMFET-CMOS Analog Synapse Circuit for Neural Network Training and Inference. - Arman Kazemi; Ramin Rajaei; Kai Ni 004; Suman Datta; Michael T. Niemier; Xiaobo Sharon Hu (ISCAS, 2020)

Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs. - Varun Mannam; Arman Kazemi (CoRR, 2020)

In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories. - Arman Kazemi; Mohammad Mehdi Sharifi; Ann Franchesca Laguna; Franz Müller 001; Ramin Rajaei; Ricardo Olivo; Thomas Kämpfe; Michael T. Niemier; X. Sharon Hu (DATE, 2021)

In-Memory Computing based Accelerator for Transformer Networks for Long Sequences. - Ann Franchesca Laguna; Arman Kazemi; Michael T. Niemier; X. Sharon Hu (DATE, 2021)

ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. - Hussam Amrouch; Di Gao; Xiaobo Sharon Hu; Arman Kazemi; Ann Franchesca Laguna; Kai Ni 004; Michael T. Niemier; Mohammad Mehdi Sharifi; Simon Thomann; Xunzhao Yin; Cheng Zhuo (ICCAD, 2021)

A Flash-Based Multi-Bit Content-Addressable Memory with Euclidean Squared Distance. - Arman Kazemi; Shubham Sahay; Ayush Saxena; Mohammad Mehdi Sharifi; Michael T. Niemier; X. Sharon Hu (ISLPED, 2021)

MIMHD: Accurate and Efficient Hyperdimensional Inference Using Multi-Bit In-Memory Computing. - Arman Kazemi; Mohammad Mehdi Sharifi; Zhuowen Zou; Michael T. Niemier; X. Sharon Hu; Mohsen Imani (ISLPED, 2021)

Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. - Mohammad Mehdi Sharifi; Lillian Pentecost; Ramin Rajaei; Arman Kazemi; Qiuwen Lou; Gu-Yeon Wei; David M. Brooks; Kai Ni 004; X. Sharon Hu; Michael T. Niemier; Marco Donato (ISLPED, 2021)

Eva-CAM: A Circuit/Architecture-Level Evaluation Tool for General Content Addressable Memories. - Liu Liu; Mohammad Mehdi Sharifi; Ramin Rajaei; Arman Kazemi; Kai Ni 004; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2022)

Associative Memory Based Experience Replay for Deep Reinforcement Learning. - Mengyuan Li 001; Arman Kazemi; Ann Franchesca Laguna; X. Sharon Hu (ICCAD, 2022)

COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. - Che-Kai Liu; Haobang Chen; Mohsen Imani; Kai Ni 004; Arman Kazemi; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu; Liang Zhao; Cheng Zhuo; Xunzhao Yin (ICCAD, 2022)

Experimentally realized memristive memory augmented neural network. - Ruibin Mao; Bo Wen; Yahui Zhao; Arman Kazemi; Ann Franchesca Laguna; Michael T. Niemier; X. Sharon Hu; Xia Sheng; Catherine E. Graves; John Paul Strachan; Can Li (CoRR, 2022)

FeFET Multi-Bit Content-Addressable Memories for In-Memory Nearest Neighbor Search. - Arman Kazemi; Mohammad Mehdi Sharifi; Ann Franchesca Laguna; Franz Müller 001; Xunzhao Yin; Thomas Kämpfe; Michael T. Niemier; X. Sharon Hu (IEEE Trans. Computers, 2022)

A Reconfigurable FeFET Content Addressable Memory for Multi-State Hamming Distance. - Liu Liu; Ann Franchesca Laguna; Ramin Rajaei; Mohammad Mehdi Sharifi; Arman Kazemi; Xunzhao Yin; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution. - Wen Ma; Qiuwen Lou; Arman Kazemi; Julian Faraone; Tariq Afzal (WACV (Workshops), 2024)