Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-08-15

Ehsaneh Khodadadi

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.

Research Assistant

Also affiliated: Zabol University (2017–2018); Fukui University of Technology (2018); Islamic Azad University of Tabriz (2013–2021); National Agriculture and Food Research Organization (2017); Tabriz University of Medical Sciences (2020–2024); Institute of Crop Science (2017); International Drug Development (2020); Stanford University (2026)

Graduate Student Researcher

20 h-index 62 pubs 1,374 cited

  • Humans
  • Algorithms
  • Deep Learning
  • Machine Learning
  • Neural Networks, Computer
  • Proteomics
  • Anti-Bacterial Agents
  • Bacteria
  • Animals
  • Pandemics
  • Female
  • Stress, Physiological
  • Proteome
  • Molecular Dynamics Simulation
  • Faecalibacterium prausnitzii

Biography and Research Information

OverviewAI-generated summary

Ehsaneh Khodadadi's research focuses on the application of machine learning and deep learning techniques to address public health challenges, particularly in the prediction and analysis of infectious diseases. Her work includes developing and optimizing algorithms for disease forecasting, as demonstrated by her publication on using meta-heuristic optimization of LSTM-based deep networks for predicting monkeypox cases. Khodadadi also investigates natural compounds for their antimicrobial and anti-biofilm properties, contributing to research on alternative therapies for bacterial infections. This includes studies on agents like baicalin and resveratrol.

Her expertise extends to computational methods for feature selection, such as the Binary Arithmetic Optimization Algorithm (BAOA) combined with K-Nearest Neighbor classifiers. Khodadadi's research interests also encompass advancements in analytical techniques, including a review of DNA methylation analysis methods and the applications of MALDI-TOF mass spectroscopy in clinical microbiology. She collaborates with researchers at the University of Arkansas at Fayetteville, including Mahmoud Moradi, Shadi A. Badiee, Ugochi H. Isu, and Parth Chaturvedi, with whom she has co-authored multiple publications. Khodadadi has an h-index of 20, has published 60 papers, and has accumulated 1,345 citations.

Metrics

  • h-index: 20
  • Publications: 62
  • Citations: 1,374

Selected Publications

  • Interplay Between Cholesterol Concentration and Membrane Curvature in Liposomes Revealed by Molecular Dynamics Simulations (2026)
    bioRxiv (Cold Spring Harbor Laboratory) DOI OpenAlex
  • An Investigation of the Conformational Dynamics of ABC Exporter PCAT1 using Microsecond-Level MD Simulations (2026)
    bioRxiv (Cold Spring Harbor Laboratory) DOI OpenAlex
  • Automated retinal disease classification using deep learning and AlexNet with statistical models analysis (2026)
    PLoS ONE 4 citations DOI OpenAlex
  • Integrating Molecular Dynamics Simulations and Single-molecule FRET Spectroscopy: From Computational FRET Estimation to Experimental Data Interpretation (2026)
    The Journal of Physical Chemistry B 1 citation DOI OpenAlex
  • Enhanced early chronic kidney disease prediction using hybrid waterwheel plant algorithm for deep neural network optimization (2025)
    Scientific Reports DOI OpenAlex
  • Hybrid greylag goose and particle swarm optimization for early detection of Parkinson’s disease from speech features (2025)
    Computers in Biology and Medicine 5 citations DOI OpenAlex
  • Ocotillo optimization-driven deep learning for bone marrow cytology classification (2025)
    PLoS ONE 2 citations DOI OpenAlex
  • Molecular Dynamics Simulations of Liposomes: Structure, Dynamics, and Applications (2025)
    Membranes 14 citations DOI OpenAlex
  • Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction (2025)
    PLoS ONE 5 citations DOI OpenAlex
  • Empowering heart attack treatment for women through machine learning and optimization techniques (2025)
    Computers in Biology and Medicine 1 citation DOI OpenAlex
  • Comprehensive Insights into the Cholesterol-Mediated Modulation of Membrane Function Through Molecular Dynamics Simulations (2025)
    Membranes 31 citations DOI OpenAlex
  • Molecular Insights into Cholesterol Concentration Effects on Planar and Curved Lipid Bilayers for Liposomal Drug Delivery (2025)
    bioRxiv (Cold Spring Harbor Laboratory) DOI OpenAlex
  • Lipid-Mediated Modulation of mGluR2 Embedded in Micelle and Bilayer Environments: Insights from Molecular Dynamics (2025)
    bioRxiv (Cold Spring Harbor Laboratory) DOI OpenAlex
  • Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm (2025)
    Scientific Reports 8 citations DOI OpenAlex
  • BPS2025 - Optimizing liposomal drug delivery systems through cholesterol dynamics: Insights from coarse-grained simulations (2025)
    Biophysical Journal DOI OpenAlex

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Collaboration Network

83 Collaborators 40 Institutions 18 Countries

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