Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-16

Shaharina Shoha

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.

Researcher

Faculty Researcher

11 h-index 26 pubs 267 cited

Biography and Research Information

OverviewAI-generated summary

Shaharina Shoha's research focuses on the application of artificial intelligence and machine learning techniques across diverse domains, including healthcare and environmental sustainability. Her work investigates the use of deep learning for medical diagnoses, such as enhanced Parkinson's disease detection using vocal features and improved melanoma detection from skin lesions. She also explores the predictive capabilities of machine learning for psychiatric disorders based on EEG data.

Beyond healthcare, Shoha examines the economic and financial impacts of AI innovation and financial globalization on environmental sustainability, particularly within the United States and G-7 countries. Her research utilizes advanced analytical methods, including Panel ARDL and quantile regression, to assess these complex relationships. Shoha has published 26 works with 267 citations and an h-index of 11, collaborating with colleagues Shake Ibna Abir and Mohammad Hasan Sarwer at Arkansas State University.

Metrics

  • h-index: 11
  • Publications: 26
  • Citations: 267

Selected Publications

  • Challenges and Advances in Different Feature Fusion Techniques: Exploring Mechanisms and Applications (2025)
  • Integrating and Enhancing Diverse Categories of Medical Data for AI-Driven Healthcare Solutions (2025)
  • Utilization of Feature Fusion in Diagnostic Applications (2025)
  • EEG Functional Connectivity and Deep Learning for Automated Diagnosis of Alzheimer's disease and Schizophrenia (2025)
    Journal of Computer Science and Technology Studies 10 citations DOI OpenAlex
  • Machine Learning and Deep Learning Techniques for EEG-Based Prediction of Psychiatric Disorders (2025)
    Journal of Computer Science and Technology Studies 24 citations DOI OpenAlex
  • Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making (2025)
    Journal of Economics Finance and Accounting Studies 2 citations DOI OpenAlex
  • Deep Learning for Financial Markets: A Case-Based Analysis of BRICS Nations in the Era of Intelligent Forecasting (2025)
    Journal of Economics Finance and Accounting Studies 11 citations DOI OpenAlex
  • Machine Learning Solutions for Predicting Stock Trends in BRICS amid Global Economic Shifts and Decoding Market Dynamics (2024)
    7 citations DOI OpenAlex
  • Use of AI-Powered Precision in Machine Learning Models for Real-Time Currency Exchange Rate Forecasting in BRICS Economies (2024)
    Journal of Economics Finance and Accounting Studies 9 citations DOI OpenAlex
  • Deep Learning Application of LSTM(P) to predict the risk factors of etiology cardiovascular disease (2024)
    Journal of Computer Science and Technology Studies 8 citations DOI OpenAlex
  • Precision Lesion Analysis and Classification in Dermatological Imaging through Advanced Convolutional Architectures (2024)
    Journal of Computer Science and Technology Studies 11 citations DOI OpenAlex
  • Deep Learning-Based Classification of Skin Lesions: Enhancing Melanoma Detection through Automated Preprocessing and Data Augmentation (2024)
    Journal of Computer Science and Technology Studies 17 citations DOI OpenAlex
  • Enhanced Parkinson’s Disease Detection Using Advanced Vocal Features and Machine Learning (2024)
    Journal of Computer Science and Technology Studies 17 citations DOI OpenAlex
  • Lung Cancer Predictive Analysis Using Optimized Ensemble and Hybrid Machine Learning Techniques (2024)
    SSRN Electronic Journal 7 citations DOI OpenAlex

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Collaboration Network

19 Collaborators 10 Institutions 2 Countries

Top Collaborators

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