Match tier Likely match
Presence Current · Arkansas
Last published 2026
Sources OpenAlex · ORCID
Refreshed 2026-10-05

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)

12 h-index 41 pubs 594 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, 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

  • Georgia Tech Partnership 2018–present
    Materials Science and Engineering ORCID
  • Associate Professor publications 2022–2026
    University of Arkansas at Fayetteville Listing

Selected Publications

  • A Framework for Automated Tracking of Morphologically Distinct Cell Populations in Time-Lapse Microscopy (2026)
  • 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 5 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)
    2 citations DOI OpenAlex

View all publications on OpenAlex →

Collaboration Network

50 Collaborators 13 Institutions 4 Countries

Top Collaborators

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