Ehsaneh Khodadadi Data-verified
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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
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An Investigation of the Conformational Dynamics of ABC Exporter PCAT1 using Microsecond-Level MD Simulations (2026)
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Automated retinal disease classification using deep learning and AlexNet with statistical models analysis (2026)
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Integrating Molecular Dynamics Simulations and Single-molecule FRET Spectroscopy: From Computational FRET Estimation to Experimental Data Interpretation (2026)
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Enhanced early chronic kidney disease prediction using hybrid waterwheel plant algorithm for deep neural network optimization (2025)
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Hybrid greylag goose and particle swarm optimization for early detection of Parkinson’s disease from speech features (2025)
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Ocotillo optimization-driven deep learning for bone marrow cytology classification (2025)
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Molecular Dynamics Simulations of Liposomes: Structure, Dynamics, and Applications (2025)
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Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction (2025)
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Empowering heart attack treatment for women through machine learning and optimization techniques (2025)
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Comprehensive Insights into the Cholesterol-Mediated Modulation of Membrane Function Through Molecular Dynamics Simulations (2025)
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Lipid-Mediated Modulation of mGluR2 Embedded in Micelle and Bilayer Environments: Insights from Molecular Dynamics (2025)
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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm (2025)
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BPS2025 - Optimizing liposomal drug delivery systems through cholesterol dynamics: Insights from coarse-grained simulations (2025)
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Predicting normalized difference vegetation index using a deep attention network with bidirectional GRU: a hybrid parametric optimization approach (2024)
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Apple Perfection: Assessing Apple Quality with Waterwheel Plant Algorithm for Feature Selection and Logistic Regression for Classification (2024)
Collaboration Network
Top Collaborators
- Cholesterol in Class C GPCRs: Role, Relevance, and Localization
- The Alternating Access Mechanism in Mammalian Multidrug Resistance Transporters and Their Bacterial Homologs
- Comprehensive Insights into the Cholesterol-Mediated Modulation of Membrane Function Through Molecular Dynamics Simulations
- Molecular Dynamics Simulations of Liposomes: Structure, Dynamics, and Applications
- Cholesterol in Class C GPCRs: Role, Relevance, and Localization
Showing 5 of 17 shared publications
- Current Advances in DNA Methylation Analysis Methods
- Navigating the neurological frontier: Macromolecular marvels in overcoming blood-brain barrier challenges for advanced drug delivery
- Comprehensive Insights into the Cholesterol-Mediated Modulation of Membrane Function Through Molecular Dynamics Simulations
- Apple Perfection: Assessing Apple Quality with Waterwheel Plant Algorithm for Feature Selection and Logistic Regression for Classification
- Molecular Dynamics Simulations of Liposomes: Structure, Dynamics, and Applications
Showing 5 of 15 shared publications
- Baicalin, a natural antimicrobial and anti-biofilm agent
- A Comprehensive Study on the Antimicrobial Properties of Resveratrol as an Alternative Therapy
- Current Advances in DNA Methylation Analysis Methods
- A Critical Review on the Nutritional and Medicinal Profiles of Garlic’s ( <i>Allium sativum</i> L.) Bioactive Compounds
- MALDI-TOF Mass Spectroscopy Applications in Clinical Microbiology
Showing 5 of 14 shared publications
- Baicalin, a natural antimicrobial and anti-biofilm agent
- A Comprehensive Study on the Antimicrobial Properties of Resveratrol as an Alternative Therapy
- Current Advances in DNA Methylation Analysis Methods
- Induction of proteome changes involved in biofilm formation of Enterococcus faecalis in response to gentamicin
- Bacterial Proteomics and its Application in Pathogenesis Studies
Showing 5 of 9 shared publications
- Baicalin, a natural antimicrobial and anti-biofilm agent
- A critical review of novel antibiotic resistance prevention approaches with a focus on postbiotics
- Bacterial Proteomics and its Application in Pathogenesis Studies
- Natural Products as a Potential Source of Promising Therapeutics for COVID‐19 and Viral Diseases
- Comparing proteome changes involved in biofilm formation by<i>Streptococcus mutans</i>after exposure to sucrose and starch
Showing 5 of 7 shared publications
- Baicalin, a natural antimicrobial and anti-biofilm agent
- A Critical Review on the Nutritional and Medicinal Profiles of Garlic’s ( <i>Allium sativum</i> L.) Bioactive Compounds
- A critical review of novel antibiotic resistance prevention approaches with a focus on postbiotics
- Induction of proteome changes involved in biofilm formation of Enterococcus faecalis in response to gentamicin
- Bacterial Proteomics and its Application in Pathogenesis Studies
Showing 5 of 6 shared publications
- Cholesterol in Class C GPCRs: Role, Relevance, and Localization
- The Alternating Access Mechanism in Mammalian Multidrug Resistance Transporters and Their Bacterial Homologs
- Cholesterol in Class C GPCRs: Role, Relevance, and Localization
- Cholesterol-regulated conformational dynamics and stability of mGluR2 embedded in detergent micelles: Insights from molecular dynamics
- BPS2025 - Cholesterol-modulated conformational dynamics of mGluR2 in active and inactive states
Showing 5 of 6 shared publications
- Baicalin, a natural antimicrobial and anti-biofilm agent
- A critical review of novel antibiotic resistance prevention approaches with a focus on postbiotics
- Induction of proteome changes involved in biofilm formation of Enterococcus faecalis in response to gentamicin
- Comparing proteome changes involved in biofilm formation by<i>Streptococcus mutans</i>after exposure to sucrose and starch
- Induction of proteome changes involved in the cloning of mcr-1 and mcr-2 genes in Escherichia coli DH5-α strain to evaluate colistin resistance
- Baicalin, a natural antimicrobial and anti-biofilm agent
- Current Advances in DNA Methylation Analysis Methods
- Induction of proteome changes involved in biofilm formation of Enterococcus faecalis in response to gentamicin
- Comparing proteome changes involved in biofilm formation by<i>Streptococcus mutans</i>after exposure to sucrose and starch
- Antisense Agents against Antibiotic-resistant Bacteria
- A Critical Review on the Nutritional and Medicinal Profiles of Garlic’s ( <i>Allium sativum</i> L.) Bioactive Compounds
- MALDI-TOF Mass Spectroscopy Applications in Clinical Microbiology
- Induction of proteome changes involved in biofilm formation of Enterococcus faecalis in response to gentamicin
- Bacterial Proteomics and its Application in Pathogenesis Studies
- Induction of proteome changes involved in the cloning of mcr-1 and mcr-2 genes in Escherichia coli DH5-α strain to evaluate colistin resistance
- Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases
- Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm
- Empowering heart attack treatment for women through machine learning and optimization techniques
- Ocotillo optimization-driven deep learning for bone marrow cytology classification
- Enhanced early chronic kidney disease prediction using hybrid waterwheel plant algorithm for deep neural network optimization
- Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases
- Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm
- Empowering heart attack treatment for women through machine learning and optimization techniques
- Ocotillo optimization-driven deep learning for bone marrow cytology classification
- Enhanced early chronic kidney disease prediction using hybrid waterwheel plant algorithm for deep neural network optimization
- Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases
- Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm
- Empowering heart attack treatment for women through machine learning and optimization techniques
- Ocotillo optimization-driven deep learning for bone marrow cytology classification
- Enhanced early chronic kidney disease prediction using hybrid waterwheel plant algorithm for deep neural network optimization
- Meta-Heuristic Optimization of LSTM-Based Deep Network for Boosting the Prediction of Monkeypox Cases
- Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm
- Empowering heart attack treatment for women through machine learning and optimization techniques
- Ocotillo optimization-driven deep learning for bone marrow cytology classification
- Enhanced early chronic kidney disease prediction using hybrid waterwheel plant algorithm for deep neural network optimization
- MALDI-TOF Mass Spectroscopy Applications in Clinical Microbiology
- A critical review of novel antibiotic resistance prevention approaches with a focus on postbiotics
- Comparing proteome changes involved in biofilm formation by<i>Streptococcus mutans</i>after exposure to sucrose and starch
- Induction of proteome changes involved in the cloning of mcr-1 and mcr-2 genes in Escherichia coli DH5-α strain to evaluate colistin resistance
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