Area of research
Artificial Intelligence · Health Information Management
Research interest
Research interests include Neural Networks and Applications, Artificial Intelligence in Healthcare, Spectroscopy Techniques in Biomedical and Chemical Research, and IoT and Edge/Fog Computing.
Data Science and Emerging Technologies
Person De-Identification: A Comprehensive Review of Methods, Datasets, Applications, and Ethical Aspects Along With New Dimensions
Revolutionizing Water Quality Monitoring with Artificial Intelligence: A Systematic Review
A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid
An explainable machine learning approach for Alzheimer's disease classification.
Understanding drug use patterns among the homeless population: A systematic review of quantitative studies
Evaluation of Hybrid Recommendation System and Machine Learning Algorithms for E-Commerce Platform
Evaluating Machine Learning and Deep Learning Analytics for Predicting Bankruptcy of Companies
Effects and Toxicity of Hallucinogenic New Psychoactive Substances From the Perspectives of e-Psychonauts
Distortions to the passage of time for annual events: Exploring why Christmas and Ramadan feel like they come around more quickly each year.
A cross-sectional analysis of the predictors of COVID-19 vaccine uptake and vaccine hesitancy in Iraq.
A diverse and multi-modal gait dataset of indoor and outdoor walks acquired using multiple cameras and sensors.
Evaluation of Near-Infrared Chemical Imaging (NIR-CI) for the Authentication of Antibiotics
Wide and deep learning based approaches for classification of Alzheimer's disease using genome-wide association studies.
Transfer Learning for Classification of Alzheimer's Disease Based on Genome Wide Data.
Authentication of Covid-19 Vaccines Using Synchronous Fluorescence Spectroscopy.
Rapid detection of synthetic cannabinoid receptor agonists impregnated into paper by attenuated total reflectance Fourier transform infrared spectroscopy.
Data Science and Emerging Technologies
Predicting perinatal outcomes in women affected by COVID-19: An artificial intelligence (AI) approach.
Design of a piezoelectrically actuated hydrocephalus shunt valve.
Evaluation of 5G and Fixed-Satellite Service Earth Station (FSS-ES) Downlink Interference Based on Artificial Neural Network Learning Models (ANN-LMS).
Brain Tumor and Glioma Grade Classification Using Gaussian Convolutional Neural Network
Brain Tumor and Glioma Grade Classification Using Gaussian Convolutional Neural Network
Cloud-based multiclass anomaly detection and categorization using ensemble learning
THC-RPL: A lightweight Trust-enabled routing in RPL-based IoT networks against Sybil attack
Evaluation of 5G Coexistence and Interference Signals in the C-Band Satellite Earth Station
Gait Identification Using Limb Joint Movement and Deep Machine Learning
Plain, Edge, and Texture Detection Based on Orthogonal Moment
Machine Learning Approaches and Applications in Genome Wide Association Study for Alzheimer’s Disease: A Systematic Review
THC-RPL: A lightweight Trust-enabled routing in RPL-based IoT networks against Sybil attack.