Match tier
Likely match
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-03
A
A M Arefin Khaled
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Role not yet determined Is this you? Add your title
Also affiliated: Nile University (2023)
2 h-index
6 pubs
73 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
A M Arefin Khaled's research focuses on the application of machine learning and deep learning techniques to address complex problems in healthcare and sustainable energy. His work includes developing models for the classification of neurological disorders such as autism spectrum disorder and Parkinson's disease, utilizing datasets like the multisite ABIDE dataset. Khaled has also investigated the use of hybrid convolutional and recurrent neural networks for diagnosing cardiovascular conditions like myocardial infarction and ST-T abnormalities. His research extends to gastrointestinal image classification using deep learning architectures and the detection of sleeping cells in cellular networks through support vector machines and deep autoencoders. Additionally, he has explored smart investment strategies in sustainable energy powered by machine learning.
Metrics
- h-index: 2
- Publications: 6
- Citations: 73
Selected Publications
-
Automated Diagnosis of Myocardial Infarction and ST-T Abnormalities Using Hybrid CNN–RNN Models with Ensemble Focal Loss (2026)
-
GastroVision-4: A Comparative Study of Deep Learning Architectures for Multi-Class Gastrointestinal Endoscopic Image Classification (2026)
-
Smart Investment Strategies in Sustainable Energy via Machine Learning (2025)
-
A Comparative Framework Integrating Hybrid Convolutional and Unified Graph Neural Networks for Accurate Parkinson’s Disease Classification (2024)
-
Functional connectivity magnetic resonance imaging classification of autism spectrum disorder using the multisite ABIDE dataset (2019)
Collaboration Network
Top Collaborators
Kazi Shaharair Sharif
University of South Dakota (US)
2 shared publications
- A Comparative Framework Integrating Hybrid Convolutional and Unified Graph Neural Networks for Accurate Parkinson’s Disease Classification
- Automated Diagnosis of Myocardial Infarction and ST-T Abnormalities Using Hybrid CNN–RNN Models with Ensemble Focal Loss
Md Kazi Shahab Uddin
Emporia State University (US)
2 shared publications
- A Comparative Framework Integrating Hybrid Convolutional and Unified Graph Neural Networks for Accurate Parkinson’s Disease Classification
- Smart Investment Strategies in Sustainable Energy via Machine Learning
Abdullah Evna Jafar
University of South Dakota (US)
2 shared publications
- GastroVision-4: A Comparative Study of Deep Learning Architectures for Multi-Class Gastrointestinal Endoscopic Image Classification
- Automated Diagnosis of Myocardial Infarction and ST-T Abnormalities Using Hybrid CNN–RNN Models with Ensemble Focal Loss
Xin Yang
Southern Arkansas University (US)
1 shared publication
- Functional connectivity magnetic resonance imaging classification of autism spectrum disorder using the multisite ABIDE dataset
Mohammad Samiul Islam
North South University (BD)
1 shared publication
- Functional connectivity magnetic resonance imaging classification of autism spectrum disorder using the multisite ABIDE dataset
Md Abubakkar
Midwestern State University (US)
1 shared publication
- A Comparative Framework Integrating Hybrid Convolutional and Unified Graph Neural Networks for Accurate Parkinson’s Disease Classification
Fauzia Yasmin
Southern Methodist University (US)
1 shared publication
- Smart Investment Strategies in Sustainable Energy via Machine Learning
Imran Ahmad
Wichita State University (US)
1 shared publication
- Smart Investment Strategies in Sustainable Energy via Machine Learning
Nazrul Islam Khan
Stephen F. Austin State University (US)
1 shared publication
- Smart Investment Strategies in Sustainable Energy via Machine Learning
Md. Rafiqul Islam
Kettering University (US)
1 shared publication
- Smart Investment Strategies in Sustainable Energy via Machine Learning
Nawfat Kamal Munifa
The University of Texas at Arlington (US)
1 shared publication
- GastroVision-4: A Comparative Study of Deep Learning Architectures for Multi-Class Gastrointestinal Endoscopic Image Classification
Md Ahnaf Tajwar Kamal
The University of Texas at Arlington (US)
1 shared publication
- GastroVision-4: A Comparative Study of Deep Learning Architectures for Multi-Class Gastrointestinal Endoscopic Image Classification
Md Shariful Islam
Lamar University (US)
1 shared publication
- GastroVision-4: A Comparative Study of Deep Learning Architectures for Multi-Class Gastrointestinal Endoscopic Image Classification
Hossain Md Niaze Motaher
Lamar University (US)
1 shared publication
- GastroVision-4: A Comparative Study of Deep Learning Architectures for Multi-Class Gastrointestinal Endoscopic Image Classification
Mohammed Majbah Uddin
University of Florida (US)
1 shared publication
- Automated Diagnosis of Myocardial Infarction and ST-T Abnormalities Using Hybrid CNN–RNN Models with Ensemble Focal Loss
Similar Researchers
Based on overlapping research topics
Muhammed Mohaimin Sadiq
University of Arkansas at Little Rock
Machine Learning Applications
Medical Imaging Techniques and Applications
Neurological disorders and treatments
Hari Mohan
Arkansas Tech University
Machine Learning Applications
Medical Imaging Techniques and Applications
Neurological disorders and treatments
Quang Sang Truong
University of Arkansas at Fayetteville
Machine Learning Applications
Medical Imaging Techniques and Applications
Cardiovascular Function and Risk Factors
Nhat-Tan Bui
University of Arkansas at Fayetteville
Machine Learning Applications
Medical Imaging Techniques and Applications
Cardiovascular Function and Risk Factors
Abdallah Malkawi
University of Arkansas for Medical Sciences
Machine Learning Applications
Medical Imaging Techniques and Applications
Cardiovascular Function and Risk Factors
Shaharina Shoha
Arkansas State University
Machine Learning Applications
Medical Imaging Techniques and Applications
Neurological disorders and treatments