A novel methodology for robustness analysis of QCA circuits. - Dayane Alfenas Reis; Frank Sill Torres (SBCCI, 2015)

A Methodology for Standard Cell Design for QCA. - Dayane Alfenas Reis; Caio Araujo T. Campos; Thiago Rodrigues B. S. Soares; Omar Paranaiba Vilela Neto; Frank Sill Torres (ISCAS, 2016)

Computing in memory with FeFETs. - Dayane Alfenas Reis; Michael T. Niemier; Xiaobo Sharon Hu (ISLPED, 2018)

Ferroelectric FET Based In-Memory Computing for Few-Shot Learning. - Ann Franchesca Laguna; Xunzhao Yin; Dayane Alfenas Reis; Michael T. Niemier; Xiaobo Sharon Hu (ACM Great Lakes Symposium on VLSI, 2019)

The Impact of Emerging Technologies on Architectures and System-level Management: Invited Paper. - Jörg Henkel; Hussam Amrouch; Martin Rapp; Sami Salamin; Dayane Reis; Di Gao; Xunzhao Yin; Michael T. Niemier; Cheng Zhuo; Xiaobo Sharon Hu; Hsiang-Yun Cheng; Chia-Lin Yang (ICCAD, 2019)

Accelerating Deep Neural Networks in Processing-in-Memory Platforms: Analog or Digital Approach? - Shaahin Angizi; Zhezhi He; Dayane Alfenas Reis; Xiaobo Sharon Hu; Wilman Tsai; Shy Jay Lin; Deliang Fan (ISVLSI, 2019)

Ferroelectric FET Based TCAM Designs for Energy Efficient Computing. - Xunzhao Yin; Dayane Alfenas Reis; Michael T. Niemier; Xiaobo Sharon Hu (ISVLSI, 2019)

Eva-CiM: A System-Level Energy Evaluation Framework for Computing-in-Memory Architectures. - Di Gao; Dayane Alfenas Reis; Xiaobo Sharon Hu; Cheng Zhuo (CoRR, 2019)

An Ultra-Dense 2FeFET TCAM Design Based on a Multi-Domain FeFET Model. - Xunzhao Yin; Kai Ni 004; Dayane Alfenas Reis; Suman Datta; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Emerging Neural Workloads and Their Impact on Hardware. - David Brooks 001; Martin M. Frank; Tayfun Gokmen; Udit Gupta; Xiaobo Sharon Hu; Shubham Jain; Ann Franchesca Laguna; Michael T. Niemier; Ian O'Connor; Anand Raghunathan; Ashish Ranjan 001; Dayane Reis; et al. (DATE, 2020)

A Fast and Energy Efficient Computing-in-Memory Architecture for Few-Shot Learning Applications. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2020)

Modeling and Benchmarking Computing-in-Memory for Design Space Exploration. - Dayane Reis; Di Gao; Shaahin Angizi; Xunzhao Yin; Deliang Fan; Michael T. Niemier; Cheng Zhuo; Xiaobo Sharon Hu (ACM Great Lakes Symposium on VLSI, 2020)

The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures. - Xiaoming Chen 003; Kai Ni 004; Michael T. Niemier; Dayane Reis; Xiaoyu Sun 001; Panni Wang; Suman Datta; Xiaobo Sharon Hu; Xunzhao Yin; Matthew Jerry; Shimeng Yu; Ann Franchesca Laguna (IEEE Des. Test, 2020)

Algorithmic Acceleration of B/FV-like Somewhat Homomorphic Encryption for Compute-Enabled RAM. - Jonathan Takeshita; Dayane Reis; Ting Gong; Michael T. Niemier; Xiaobo Sharon Hu; Taeho Jung (IACR Cryptol. ePrint Arch., 2020)

Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures. - Di Gao; Dayane Reis; Xiaobo Sharon Hu; Cheng Zhuo (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption. - Dayane Reis; Jonathan Takeshita; Taeho Jung; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Attention-in-Memory for Few-Shot Learning with Configurable Ferroelectric FET Arrays. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (ASP-DAC, 2021)

Exploiting FeFETs via Cross-Layer Design from In-memory Computing Circuits to Meta-Learning Applications. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (DATE, 2021)

iMARS: an in-memory-computing architecture for recommendation systems. - Mengyuan Li 001; Ann Franchesca Laguna; Dayane Reis; Xunzhao Yin; Michael T. Niemier; X. Sharon Hu (DAC, 2022)

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing. - Junhuan Yang; Venkat Kalyan Reddy Yasa; Yi Sheng; Dayane Reis; Xun Jiao; Weiwen Jiang; Lei Yang 018 (ISVLSI, 2022)

Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic. - Qingrong Huang; Dayane Reis; Chao Li 065; Di Gao; Michael T. Niemier; Xiaobo Sharon Hu; Mohsen Imani; Xunzhao Yin; Cheng Zhuo (IEEE Des. Test, 2022)

IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption. - Dayane Reis; Haoran Geng; Michael T. Niemier; Xiaobo Sharon Hu (IEEE Trans. Very Large Scale Integr. Syst., 2022)

In-Memory Computing Accelerators for Emerging Learning Paradigms. - Dayane Reis; Ann Franchesca Laguna; Michael T. Niemier; Xiaobo Sharon Hu (ASP-DAC, 2023)

Invited Paper: Algorithm/Hardware Co-Design for Few-Shot Learning at the Edge. - Ann Franchesca Laguna; Mohammad Mehdi Sharifi; Dayane Reis; Liu Liu; Andrew Hennessee; Clayton O'Dell; Ian O'Connor; Michael T. Niemier; X. Sharon Hu (ICCAD, 2023)

Privacy Preserving In-memory Computing Engine. - Haoran Geng; Jianqiao Mo; Dayane Reis; Jonathan Takeshita; Taeho Jung; Brandon Reagen; Michael T. Niemier; Xiaobo Sharon Hu (CoRR, 2023)

An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs. - Bi Wu; Haonan Zhu; Dayane Reis; Zhaohao Wang; Ying Wang 001; Ke Chen 018; Weiqiang Liu 001; Fabrizio Lombardi; Xiaobo Sharon Hu (IEEE Trans. Emerg. Top. Comput., 2023)

AFeCAM: An Energy Efficient Analog 1FeFET Content Addressable Memory. - Sabrina Hassan Moon; Dayane Reis (ACM Great Lakes Symposium on VLSI, 2024)

Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM. - Ahmed Mamdouh; Haoran Geng; Michael T. Niemier; Xiaobo Sharon Hu; Dayane Reis (CoRR, 2024)

A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection. - Ruixuan Wang; Sabrina Hassan Moon; Xiaobo Sharon Hu; Xun Jiao; Dayane Reis (IEEE Trans. Computers, 2024)

Accelerating Finite-Field and Torus Fully Homomorphic Encryption via Compute-Enabled (S)RAM. - Jonathan Takeshita; Dayane Reis; Ting Gong; Michael T. Niemier; Xiaobo Sharon Hu; Taeho Jung (IEEE Trans. Computers, 2024)

ReX-HD: A Deterministic ReRAM-Based Hyperdimensional Computing Framework for Edge Computing. - Sabrina Hassan Moon; Ahmed Ahmed 006; Abu Kaisar Mohammad Masum; Sercan Aygun; Dayane Reis (ACM Great Lakes Symposium on VLSI, 2025)

HIDE: A Hyperdimensional In-DRAM Encoder for Fast and Energy-Efficient Classification. - Ahmed Mamdouh; Dayane Reis (ISQED, 2025)

Enhancing Biologically Inspired Hierarchical Temporal Memory with Hardware-Accelerated Reflex Memory. - Pavia Bera; Sabrina Hassan Moon; Jennifer Adorno; Dayane Alfenas Reis; Sanjukta Bhanja (CoRR, 2025)