Mohammad Abdullah Al Faruque

Professor

University of California

United States

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Mohammad Abdullah Al Faruque is a Professor at the University of California, specializing in cybersecurity and autonomous systems. His recent research areas include hardware Trojan detection, resilience enhancement for cyber-physical systems, and personalized learning systems in IoT. He has contributed to various publications addressing the intersection of machine learning, vehicular communications, and intrusion detection in IoT networks.

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2022

Collaborators (5)

Pramod P. Khargonekar

UNITED STATES

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Smail Niar

Professor

Université Polytechnique Hauts-de-France

FRANCE

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Wen-Long Jin

Professor

University of California, Irvine

UNITED STATES

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Meeko Oishi

Professor

University of New Mexico

UNITED STATES

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Berken Utku Demirel

ETH Zurich

SWITZERLAND

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Mohammad Abdullah Al Faruque

Research Interests

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About

Articles (20)

Hardware Trojan Detection Using Graph Neural Networks

A Review of Resilience Enhancement Techniques for Cyber-Physical Systems

DART: Distribution-Aware Hardware Trojan Detection

DisCovHAR: Contrastive Attention for Human Activity Recognition Under Distribution Shifts

Fuse It or Lose It? Analyzing the Effects of Sensor Diversity on Multimodal Ensembles for Autonomous Vehicle Perception

CASTNet: A Context-Aware, Spatio-Temporal Dynamic Motion Prediction Ensemble for Autonomous Driving

ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System

HyperDetect: A Real-Time Hyperdimensional Solution for Intrusion Detection in IoT Networks

Adaptive Data Fusion for State Estimation and Control of Power Grids Under Attack

TileChain: A Blockchain-Based Framework for Security Service Management For Vehicular Communications

MaGNAS: A Mapping-Aware Graph Neural Architecture Search Framework for Heterogeneous MPSoC Deployment

Stress Detection Using Context-Aware Sensor Fusion From Wearable Devices

Data-driven Energy-efficient Adaptive Sampling Using Deep Reinforcement Learning

Testudo: Collaborative Intelligence for Latency-Critical Autonomous Systems

Hardware/Software Co-Design for Sensor Security

PrivyNAS: Privacy-Aware Neural Architecture Search for Split Computing in Edge-Cloud Systems

Attack Modeling Methodology and Taxonomy for Intelligent Transportation Systems

Introduction to the Special Section on Selected Papers from ICCPS 2021

Golden Reference-Free Hardware Trojan Localization Using Graph Convolutional Network

AHAR: Adaptive CNN for Energy-Efficient Human Activity Recognition in Low-Power Edge Devices

Collaborators (5)

Pramod P. Khargonekar

Smail Niar

Wen-Long Jin

Meeko Oishi

Berken Utku Demirel

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