Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Amani Ibraheem

Assistant Professor

king khalid university

Saudi Arabia

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Articles (14)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Collaborators (4)

Ferheen Ayaz

University of Glasgow

UNITED KINGDOM

View details

Tahani Alsubait

Associate professor

umm al-qura university

SAUDI ARABIA

View details

Maziar Nekovee

University of Sussex

UNITED KINGDOM

View details

George Parisis

University of Sussex

UNITED KINGDOM

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Amani Ibraheem

Research Interests

Make your next move.

Articles (14)

A federated learning-benchmarking framework for privacy-preserving UAV intrusion detection using adaptive aggregation algorithms

Reinforcement learning for mobility and resource aware handover in vehicular networks

ATLAS: Adaptive Threat Learning and Analysis in Edge-Intelligent, Privacy-Aware Smart Home Anomaly Detection

Contributors

Integration of AI and blockchain

Use cases in IoT, IoV, and IIoT

Use cases in UAV and non-terrestrial networks

Telecom-to-Grid: Supercharging 6G’s Contribution for Reliable Net-Zero

Intelligent Traffic Light Control System for Emergency Vehicles Using Deep Learning and Signal Synchronization

Introduction to <scp>IoT</scp> , <scp>AI</scp> , and <scp>ML</scp> in Sustainable Communication

On the optimal design of fully identifiable next-generation in-vehicle networks

Anomaly Detection and Classification for SDN-Enabled In-Vehicle Network Using Network Tomography-Based Deep Learning

Network tomography-based anomaly detection and localisation in centralised in-vehicle network

In-vehicle network delay tomography

Collaborators (4)

Ferheen Ayaz

Tahani Alsubait

Maziar Nekovee

George Parisis

Make your next move.