Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-08-06
S
Shake Ibna Abir
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Faculty Researcher
9 h-index
17 pubs
154 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Shake Ibna Abir's research focuses on the intersection of artificial intelligence, finance, and environmental sustainability, with a particular emphasis on economic and financial impacts. Recent work investigates the role of private investment in AI and financial globalization on load capacity factors, utilizing panel ARDL models to explore the LCC hypothesis in the Nordic region. Abir also examines the economic and financial implications of leveraging AI for environmental sustainability in the United States. In parallel, Abir conducts research in machine learning and deep learning applications within health sciences, specifically for the prediction of psychiatric disorders using EEG data, and for enhanced detection of Parkinson’s disease through vocal features. Further contributions include deep learning-based classification of skin lesions for melanoma detection and advancements in medical imaging for precision healthcare, including brain tumor detection from MR images.
Metrics
- h-index: 9
- Publications: 17
- Citations: 154
Selected Publications
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Challenges and Advances in Different Feature Fusion Techniques: Exploring Mechanisms and Applications (2025)
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Integrating and Enhancing Diverse Categories of Medical Data for AI-Driven Healthcare Solutions (2025)
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Utilization of Feature Fusion in Diagnostic Applications (2025)
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Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach (2025)
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Advancing Neurological Disease Prediction through Machine Learning Techniques (2025)
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EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia (2025)
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Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders (2025)
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Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making (2025)
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Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting (2025)
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Accelerating BRICS Economic Growth: AI-Driven Data Analytics for Informed Policy and Decision Making (2024)
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Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies (2024)
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Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease (2024)
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Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures (2024)
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Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation (2024)
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Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare (2024)
Collaboration Network
Top Collaborators
Shaharina Shoha
Arkansas State University
14 shared publications
In database
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
Showing 5 of 14 shared publications
Sarder Abdulla Al Shiam
St. Francis College (US)
12 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- Advancing Neurological Disease Prediction through Machine Learning Techniques
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
Showing 5 of 12 shared publications
Abid Hasan Shimanto
University of Massachusetts Boston (US)
7 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease
Showing 5 of 7 shared publications
Shariar Islam Saimon
University of Bridgeport
7 shared publications
In database
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- Advancing Neurological Disease Prediction through Machine Learning Techniques
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
Showing 5 of 7 shared publications
Ishraq Islam
University of Bridgeport (US)
7 shared publications
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- Advancing Neurological Disease Prediction through Machine Learning Techniques
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
Showing 5 of 7 shared publications
Nazrul Islam Khan
Stephen F. Austin State University (US)
7 shared publications
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease
- Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach
- Utilization of Feature Fusion in Diagnostic Applications
Showing 5 of 7 shared publications
Md Shah Ali Dolon
University of New Haven (US)
6 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Lung Cancer Predictive Analysis Using Optimized Ensemble and Hybrid Machine Learning Techniques
Showing 5 of 6 shared publications
Tui Rani Saha
University of New Haven (US)
5 shared publications
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Accelerating BRICS Economic Growth: AI-Driven Data Analytics for Informed Policy and Decision Making
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
Md Atikul Islam Mamun
Stephen F. Austin State University (US)
4 shared publications
- Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning
- Deep Neural Networks in Medical Imaging: Advances, Challenges, and Future Directions for Precision Healthcare
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
Md Miraj Hossain
West Chester University (US)
4 shared publications
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation
- Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
S M Shamsul Arefeen
University of Massachusetts Boston (US)
4 shared publications
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
Nigar Sultana
University of New Haven (US)
4 shared publications
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
Mohammad Hasan Sarwer
University of New Haven
4 shared publications
In database
- Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
Nigar Sultana
University of New Haven (US)
3 shared publications
- Advancing Neurological Disease Prediction through Machine Learning Techniques
- EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia
- Artificial Intelligence in Multi-Disease Medical Diagnostics: An Integrative Approach
Mahmud Hasan
Ecpi University (US)
2 shared publications
- Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting
- Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making
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