Mohsen Imani

Assistant Professor

University of California, Irvine

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Mohsen Imani is an Assistant Professor at the University of California Irvine, United States. His research areas encompass hyperdimensional computing, cybersecurity, and neuro-symbolic AI, focusing on efficient algorithms for data processing and interpretation. Recent articles highlight his work on topics such as cognitive map formation, memory fabric designs, and energy-efficient learning systems.

Articles (20)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2020

Year:

2020

Collaborators (8)

Sercan Aygün

Assistant Professor

University of Louisiana at Lafayette

UNITED STATES

View details

Ulf Schlichtmann

Professor of Electronic Design Automation

Technical University of Munich

GERMANY

View details

M.Hassan Najafi

Assistant Professor

University of Louisiana at Lafayette

UNITED STATES

View details

Dayane Reis

Assistant Professor

University of South Florida

UNITED STATES

View details

Arman Roohi

Assistant Professor

University of Nebraska - Lincoln

UNITED STATES

View details

Baris Aksanli

San Diego State University

UNITED STATES

View details

Justin Morris

Assistant Professor of Computer Engineering

California State University San Marcos

UNITED STATES

View details

Yang Ni

Assistant Professor

Purdue University Northwest

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Mohsen Imani

Research Interests

Explore related searches

Contact this professor

About

Articles (20)

A Homogeneous FeFET-Based Time-Domain Compute-in-Memory Fabric for Matrix-Vector Multiplication and Associative Search

A Scalable 2T-1FeFET-Based Content Addressable Memory Design for Energy Efficient Data Search

DynHD: Hyperdimensional Computing Approach for Efficient Radar Spectrum Classification

Configurable hyperdimensional graph representation

Cognitive map formation under uncertainty via local prediction learning

Enabling Efficient and Interpretable Cybersecurity Reasoning Through Hyperdimensional Computing

Neuro-Photonix: Enabling Near-Sensor Neuro-Symbolic AI Computing on Silicon Photonics Substrate

Vision language model for interpretable and fine-grained detection of safety compliance in diverse workplaces

CyberRL: Brain-Inspired Reinforcement Learning for Efficient Network Intrusion Detection

Tri-HD: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing

Agile Simulation of Stochastic Computing Image Processing With Contingency Tables

FeFET Based In-Memory Hyperdimensional Encoding Design

Modeling and Predicting Transistor Aging Under Workload Dependency Using Machine Learning

𝖧𝗒𝖣𝖱𝖤𝖠: Utilizing Hyperdimensional Computing for a More Robust and Efficient Machine Learning System

Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing

PAM: A Piecewise-Linearly-Approximated Floating-Point Multiplier With Unbiasedness and Configurability

COSMO: Computing with Stochastic Numbers in Memory

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

Data Reuse for Accelerated Approximate Warps

QuantHD: A Quantization Framework for Hyperdimensional Computing

Collaborators (8)

Sercan Aygün

Ulf Schlichtmann

M.Hassan Najafi

Dayane Reis

Arman Roohi

Baris Aksanli

Justin Morris

Yang Ni

Make your next move.