Wasiq Khan

Senior Lecturer in Artificial Intelligence/Data Science

Liverpool John Moores University

United Kingdom

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About

Wasiq Khan is a Senior Lecturer in Artificial Intelligence and Data Science at Liverpool John Moores University, UK. His research encompasses various domains including educational technology, sustainable IoT solutions, and machine learning applications in healthcare and deception detection. He has authored several recent articles addressing advancements in AI methodologies and their implications across different industries.

Articles (24)

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2022

Collaborators (8)

Bilal Khan

Assistant Professor

California State University San Bernardino

UNITED STATES

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Hoshang Kolivand

Senior Lecturer

Liverpool John Moores University

UNITED KINGDOM

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Zeyar Aung

UNITED ARAB EMIRATES

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Professor Dhiya Al-Jumeily OBE

Professor of Artificial Intelligence

Liverpool John Moores University

UNITED KINGDOM

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Pete Atherton

Senior Lecturer

Liverpool John Moores University

UNITED KINGDOM

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Ala Al Kafri

Teesside University

UNITED KINGDOM

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Ruba Bnyan

Lecturer in Pharmaceutical Science

Kingston University

UNITED KINGDOM

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Abir Hussain

Liverpool John Moores University

UNITED KINGDOM

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Wasiq Khan

Research Interests

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About

Articles (24)

Person De-Identification: A Comprehensive Review of Methods, Datasets, Applications, and Ethical Aspects Along With New Dimensions

Artificial Intelligence in Educational Technology: A Systematic Review of Datasets and Applications

Sustainable IoT solutions: Developing a quantum-aware circuit for improving energy efficiency based on atomic silicon

Predicting Emergency Severity Index (ESI) level, hospital admission, and admitting ward in an emergency department using data-driven machine learning

A comprehensive analysis of deception detection techniques leveraging machine learning

Trans-Resveratrol-Loaded Nanostructured Lipid Carrier Formulations for Pulmonary Drug Delivery Using Medical Nebulizers

Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants

Explainable AI for Unraveling the Significance of Visual Cues in High Stakes Deception Detection

Deep face profiler (DeFaP): Towards explicit, non-restrained, non-invasive, facial and gaze comprehension

Anticancer drug delivery: Investigating the impacts of viscosity on lipid-based formulations for pulmonary targeting

Video dataset of sheep activity for animal behavioral analysis via deep learning

Person de-Identification: A Comprehensive Review of Methods, Datasets, Applications, and Ethical Aspects Along-With New Dimensions

Development and Characterization of Novel Combinations and Compositions of Nanostructured Lipid Carrier Formulations Loaded with Trans-Resveratrol for Pulmonary Drug Delivery

Outdoor mobility aid for people with visual impairment: Obstacle detection and responsive framework for the scene perception during the outdoor mobility of people with visual impairment

Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models

Predicting energy performances of buildings' envelope wall materials via the random forest algorithm

Wide and deep learning based approaches for classification of Alzheimer’s disease using genome-wide association studies

Image dataset of important grape varieties in the commercial and consumer market

A Lightweight Facial Emotion Recognition System Using Partial Transfer Learning for Visually Impaired People

Arabic Text Detection Using Rough Set Theory: Designing a Novel Approach

Transfer Learning for Classification of Alzheimer's Disease Based on Genome Wide Data

Performance enhancement of high order Hahn polynomials using multithreading

Towards a Virtual Fencing System: Training Domestic Sheep Using Audio Stimuli

COVID-19 Vaccination and Mental Stress within Diverse Sociodemographic Groups

Collaborators (8)

Bilal Khan

Hoshang Kolivand

Zeyar Aung

Professor Dhiya Al-Jumeily OBE

Pete Atherton

Ala Al Kafri

Ruba Bnyan

Abir Hussain

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