Faisal Jamil

Lecturer

University of Huddersfield

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom Professors in Artificial Intelligence Artificial Intelligence professors in United Kingdom

Contact this professor

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

About

Faisal Jamil is a Lecturer at the University of Huddersfield, UK. His research interests encompass the application of advanced technologies in healthcare and smart environments, focusing on areas such as predictive social media classification, federated learning, and secure remote patient monitoring systems. Recent publications include work on optimizing smart contracts for electric vehicles and developing innovative strategies for activity recognition in various contexts.

Articles (15)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (8)

Naeem Iqbal

Jeju National University

SOUTH KOREA

View details

Reem Alkanhel

SAUDI ARABIA

View details

Mohamed Hamdy

Associate professor

Norwegian University of Science and Technology

NORWAY

View details

Sanaz Rahimi Moosavi

Assistant Professor

California State University, Dominguez Hills

UNITED STATES

View details

Richard Hill

University of Huddersfield

UNITED KINGDOM

View details

Tariq Alsboui

University of Huddersfield

UNITED KINGDOM

View details

Ibrahim A. Hameed

Professor

Norwegian University of Science and Technology

NORWAY

View details

Shabir Ahmad

Research Professor

Gachon University

SOUTH KOREA

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Faisal Jamil

Research Interests

Explore related searches

Contact this professor

About

Articles (15)

Enhancing Hajj and Umrah Services Through Predictive Social Media Classification

Federated Learning Framework for Real-Time Activity and Context Monitoring Using Edge Devices

Optimal smart contracts for controlling the environment in electric vehicles based on an Internet of Things network

A novel hybrid strategy based on Swarm and Heterogeneous Federated Learning using model credibility awareness for activity recognition in cross-silo multistorey building

Swarm Learning Empowered Federated Deep Learning for Seamless Smartphone-Based Activity Recognition

Toward intelligent open-ended questions evaluation based on predictive optimization

A lightweight blockchain and fog-enabled secure remote patient monitoring system

Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks

Optimal Ensemble Scheme for Human Activity Recognition and Floor Detection Based on AutoML and Weighted Soft Voting Using Smartphone Sensors

An Adaptive Real-Time Malicious Node Detection Framework Using Machine Learning in Vehicular Ad-Hoc Networks (VANETs)

Predicting annual illuminance and operative temperature in residential buildings using artificial neural networks

Design of a general complex problem-solving architecture based on task management and predictive optimization

Towards Intelligent Zone-Based Content Pre-Caching Approach in VANET for Congestion Control

IoT-Orchestration based nanogrid energy management system and optimal time-aware scheduling for efficient energy usage in nanogrid

Improving blockchain performance in clinical trials using intelligent optimal transaction traffic control mechanism in smart healthcare applications

Collaborators (8)

Naeem Iqbal

Reem Alkanhel

Mohamed Hamdy

Sanaz Rahimi Moosavi

Richard Hill

Tariq Alsboui

Ibrahim A. Hameed

Shabir Ahmad

Make your next move.