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

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); University of Leeds (2025); Datta Meghe Institute of Higher Education and Research (2025); Stanford University (2019–2026)

Faculty Researcher

13 h-index 70 pubs 661 cited

  • Vaccine Development
  • Artificial Intelligence
  • Pandemics
  • Acinetobacter baumannii
  • Machine Learning
  • COVID-19
  • Humans
  • Anti-Bacterial Agents
  • Microbial Sensitivity Tests
  • Phylogeny
  • Genome, Bacterial
  • Drug Resistance, Multiple, Bacterial
  • Virulence Factors
  • Multilocus Sequence Typing

Biography and Research Information

OverviewAI-generated summary

Prateek Verma's research focuses on materials science, with recent work investigating the mechanical properties and phase transformations in hydrogen ion-implanted silicon carbide. He has also explored the development of ultrasensitive and stretchable strain sensors based on microcrack structures for motion monitoring, and Pt thin-film resistance thermometers for high-temperature pressure sensors. Further investigations include the electromagnetic interference shielding and Joule heating performances of composite coatings incorporating silver nanoparticles. Verma's work also extends to the application of large vision language models for analyzing medical and microscope images. He has published 72 papers, accumulating 644 citations, and holds an h-index of 13. His collaborations at the University of Arkansas at Fayetteville include Minh-Hao Van, Xintao Wu, Ukash Nakarmi, and Karthik Nayani.

Metrics

  • h-index: 13
  • Publications: 70
  • Citations: 661

Selected Publications

  • Vision language models for scientific image analysis: an evaluation highlighting opportunities and challenges (2026)
  • A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools (2026)
    ACM Computing Surveys 4 citations DOI OpenAlex
  • A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation (2025)
  • Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction (2025)
    1 citation DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

46 Collaborators 10 Institutions 4 Countries

Top Collaborators

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