Ehsaneh Khodadadi Data-verified

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Research Assistant

Last publication 2026 Last refreshed 2026-05-16

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20 h-index 60 pubs 1,311 cited

Biography and Research Information

OverviewAI-generated summary

Ehsaneh Khodadadi's research investigates the application of machine learning and optimization algorithms to address complex biological and public health challenges. Her work includes developing and refining meta-heuristic optimization algorithms, such as the Binary Arithmetic Optimization Algorithm (BAOA), for tasks like feature selection in classification models. Khodadadi has also explored the predictive modeling of disease outbreaks, including studies on the prediction of Monkeypox cases using deep learning networks. Her research extends to the antimicrobial properties of natural compounds, examining agents like Baicalin and Resveratrol as potential alternative therapies. Additionally, she has contributed to studies on analytical methods, including advances in DNA methylation analysis and the applications of MALDI-TOF mass spectrometry in clinical microbiology. Khodadadi has a publication record of 60 papers with 1,276 citations and an h-index of 18. She has collaborated extensively with researchers at the University of Arkansas at Fayetteville, including Ehsan Khodadadi (27 shared publications), Mahmoud Moradi (7 shared publications), and Shadi A. Badiee (6 shared publications).

Metrics

  • h-index: 20
  • Publications: 60
  • Citations: 1,311

Selected Publications

  • An Investigation of the Conformational Dynamics of ABC Exporter PCAT1 using Microsecond-Level MD Simulations (2026)
  • Automated retinal disease classification using deep learning and AlexNet with statistical models analysis (2026)
    1 citation DOI OpenAlex
  • Integrating Molecular Dynamics Simulations and Single-molecule FRET Spectroscopy: From Computational FRET Estimation to Experimental Data Interpretation (2026)
  • Enhanced early chronic kidney disease prediction using hybrid waterwheel plant algorithm for deep neural network optimization (2025)
  • Hybrid greylag goose and particle swarm optimization for early detection of Parkinson’s disease from speech features (2025)
  • Ocotillo optimization-driven deep learning for bone marrow cytology classification (2025)
  • Molecular Dynamics Simulations of Liposomes: Structure, Dynamics, and Applications (2025)
    4 citations DOI OpenAlex
  • Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction (2025)
    3 citations DOI OpenAlex
  • Empowering heart attack treatment for women through machine learning and optimization techniques (2025)
    1 citation DOI OpenAlex
  • Comprehensive Insights into the Cholesterol-Mediated Modulation of Membrane Function Through Molecular Dynamics Simulations (2025)
    12 citations DOI OpenAlex
  • Lipid-Mediated Modulation of mGluR2 Embedded in Micelle and Bilayer Environments: Insights from Molecular Dynamics (2025)
  • Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm (2025)
    3 citations DOI OpenAlex
  • BPS2025 - Optimizing liposomal drug delivery systems through cholesterol dynamics: Insights from coarse-grained simulations (2025)
  • Predicting normalized difference vegetation index using a deep attention network with bidirectional GRU: a hybrid parametric optimization approach (2024)
    13 citations DOI OpenAlex
  • Apple Perfection: Assessing Apple Quality with Waterwheel Plant Algorithm for Feature Selection and Logistic Regression for Classification (2024)
    10 citations DOI OpenAlex

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Collaboration Network

85 Collaborators 32 Institutions 14 Countries

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