Prateek Verma
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.
Associate Professor
Also affiliated: Georgia Institute of Technology (2013–2025); Renewable Bioproducts Institute (2015–2022); Stanford University (2022–2023)
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Prateek Verma, an Associate Professor at the University of Arkansas at Fayetteville, studies the application of artificial intelligence and machine learning in various scientific domains. His work includes developing and evaluating AI models for tasks such as pandemic response, vaccine development, and medical imaging analysis. Verma has also investigated the physical properties of materials, including auxetic behavior in nonwovens and paper, and the development of strain sensors.
His research has been supported by grants and has resulted in over 70 publications, with a citation count of 672 and an h-index of 13. Verma collaborates with several researchers at the University of Arkansas at Fayetteville, including Minh-Hao Van and Xintao Wu, with whom he has co-authored multiple publications. His recent work explores the use of large visual language models for medical imaging and the identification of threats in cloud environments.
Metrics
- h-index: 12
- Publications: 41
- Citations: 594
Positions
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Georgia Tech Partnership 2018–presentMaterials Science and Engineering ORCID
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Associate Professor publications 2022–2026University of Arkansas at Fayetteville Listing
Selected Publications
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A Framework for Automated Tracking of Morphologically Distinct Cell Populations in Time-Lapse Microscopy (2026)
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Vision language models for scientific image analysis: an evaluation highlighting opportunities and challenges (2026)
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A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools (2026)
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A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation (2025)
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Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction (2025)
Collaboration Network
Top Collaborators
- An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
Showing 5 of 7 shared publications
- An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC
Showing 5 of 6 shared publications
- On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
- Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis
- A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
- Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
Showing 5 of 6 shared publications
- An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC
- Atomistic Analysis on Implantation Effects of Hydrogen Ions and Copper Ions into 4h-Sic
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC
- Atomistic Analysis on Implantation Effects of Hydrogen Ions and Copper Ions into 4h-Sic
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Atomistic analysis on implantation effects of hydrogen ions and copper ions into 4H-SiC
- Atomistic Analysis on Implantation Effects of Hydrogen Ions and Copper Ions into 4h-Sic
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- An ultrasensitive and stretchable strain sensor based on a microcrack structure for motion monitoring
- Pt thin-film resistance thermo detectors with stable interfaces for potential integration in SiC high-temperature pressure sensors
- Ag Nanoparticle-Thiolated Chitosan Composite Coating Reinforced by Ag–S Covalent Bonds with Excellent Electromagnetic Interference Shielding and Joule Heating Performances
- On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
- Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis
- A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Improvement mechanism of brittle-plastic transition and residual stress in scratching 4H–SiC implanted by hydrogen ions
- Mechanical properties and indentation-induced phase transformation in 4H–SiC implanted by hydrogen ions
- Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques
- Towards retrieving aerosol chemical composition from temporal variations of total PM mass concentrations: Theoretical approach, insights, and the promise of machine learning techniques
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