Imad Mahgoub

Professor/ Tecore Endowed Chair Professor

Florida Atlantic University

United States

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About

Imad Mahgoub is a Professor and Tecore Endowed Chair Professor at Florida Atlantic University, USA. His research focuses on machine learning, IoT security, real-time traffic flow prediction, and wearable devices. Recent publications include works on intrusion detection in vehicular networks and advancements in cardiovascular wearable technology.

Articles (22)

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2020

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2020

Collaborators (3)

Mary Ann Leavitt

Assistant Professor

Florida Atlantic University

UNITED STATES

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Waseem Asghar

Florida Atlantic University

UNITED STATES

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Bader Alsharif

Florida International University

UNITED STATES

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Imad Mahgoub

Research Interests

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About

Articles (22)

An Intelligent Ensemble-Based Detection of In-Vehicle Network Intrusion

Machine Learning-Based Security Solutions for IoT Networks: A Comprehensive Survey

A Distributed Machine Learning-Based Scheme for Real-Time Highway Traffic Flow Prediction in Internet of Vehicles

Real-Time American Sign Language Interpretation Using Deep Learning and Keypoint Tracking

A VANET, Multi-Hop-Enabled, Dynamic Traffic Assignment for Road Networks

Stacking Ensemble Deep Learning for Real-Time Intrusion Detection in IoMT Environments

A Wearable Internet of Things Device for Noninvasive Remote Monitoring of Vital Signs Related to Heart Failure

An Effective Ensemble Learning-Based Real-Time Intrusion Detection Scheme for an In-Vehicle Network

Intelligent High-Awareness and Channel-Efficient Adaptive Beaconing Based on Density and Distribution for Vehicular Networks

Security and Trust Management in the Internet of Vehicles (IoV): Challenges and Machine Learning Solutions

Survey of strategies to optimize battery operation to minimize the electricity cost in a microgrid with renewable energy sources and electric vehicles

Generalizable Solar Irradiance Prediction for Battery Operation Optimization in IoT-Based Microgrid Environments

Advances in Cardiovascular Wearable Devices

A Novel Deception-Based Scheme to Secure the Location Information for IoBT Entities

Location Privacy-Preserving Scheme in IoBT Networks Using Deception-Based Techniques

Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network

Development of a wearable belt with integrated sensors for measuring multiple physiological parameters related to heart failure.

Advances in healthcare wearable devices

Geographic routing enhancement for urban VANETs using link dynamic behavior: A cross layer approach

ReapIoT: Reliable, Energy-Aware Network Protocol for Large-Scale Internet-of-Things (IoT) Applications

Link utility aware geographic routing for urban VANETs using two-hop neighbor information

Smart fuzzy logic-based density and distribution adaptive scheme for efficient data dissemination in vehicular ad hoc networks

Collaborators (3)

Mary Ann Leavitt

Waseem Asghar

Bader Alsharif

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