Dayane Reis

Assistant Professor

University of South Florida

United States

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Dayane Reis is an Assistant Professor at the University of South Florida, USA. Her research focuses on computing-in-memory (CiM) technologies, nonvolatile memory (NVM) simulators, and advancements in data processing systems. Dr. Reis has recently published articles on topics such as efficient memory operations for recommendation systems and homomorphic encryption techniques, highlighting her expertise in emerging memory architectures.

Articles (15)

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2025

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2025

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2024

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2024

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2024

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2023

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (3)

Mohsen Imani

Assistant Professor

University of California, Irvine

UNITED STATES

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Xiaobo Hu

Professor

University of Notre Dame

UNITED STATES

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Azad Naeemi

Professor

Georgia Institute of Technology

UNITED STATES

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Dayane Reis

Research Interests

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Articles (15)

A Survey on Computing-in-Memory (CiM) and Emerging Nonvolatile Memory (NVM) Simulators

Shared-PIM: Enabling Concurrent Computation and Data Flow for Faster Processing-in-DRAM

Accelerating Finite-Field and Torus Fully Homomorphic Encryption via Compute-Enabled (S)RAM

A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection

Accelerating Recommendation Systems With In-Memory Embedding Operations

Design of a Compact Spin-Orbit-Torque-Based Ternary Content Addressable Memory

An Energy-Efficient Computing-in-Memory (CiM) Scheme Using Field-Free Spin-Orbit Torque (SOT) Magnetic RAMs

Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic

Reconfigurable logic-in-memory

IMCRYPTO: An In-Memory Computing Fabric for AES Encryption and Decryption

Modeling and Design for Magnetoelectric Ternary Content Addressable Memory (TCAM)

The Implications of Ferroelectric FET Device Models to the Design of Computing-in-Memory Architectures

Two-dimensional transistors with reconfigurable polarities for secure circuits

Eva-CiM: A System-Level Performance and Energy Evaluation Framework for Computing-in-Memory Architectures

Computing-in-Memory for Performance and Energy-Efficient Homomorphic Encryption

Collaborators (3)

Mohsen Imani

Xiaobo Hu

Azad Naeemi

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