Nidhi Gupta Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor

University of Arkansas at Fayetteville

faculty

13 h-index 77 pubs 582 cited

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Biography and Research Information

OverviewAI-generated summary

Dr. Nidhi Gupta's research focuses on the application of machine learning and deep learning algorithms to image processing tasks, particularly in areas such as surveillance and medical diagnostics. Her work has explored classical machine learning and deep learning methods for weapon detection, including studies on robust detection in dark environments and the development of AI software for real-time automated weapon detection. She has also investigated the use of deep learning for medical image analysis, with publications on brain tumor detection using explainable AI and COVID-19 detection from CT scan images utilizing transfer learning.

Her research interests extend to the broader applications of optimization and machine learning in image processing and the Internet of Things (IoT). This includes work on automated electronic meter reading systems using deep learning architectures and real-time firearm detection systems that integrate deep learning with super-resolution convolutional neural networks. Dr. Gupta has a background in computer science, holding degrees from the Indian Institute of Information Technology, Design and Manufacturing, Jabalpur, and has experience as a Post-Doctoral Fellow at the National Laboratory of Pattern Recognition, Chinese Academy of Sciences.

Metrics

  • h-index: 13
  • Publications: 77
  • Citations: 582

Selected Publications

  • CAMFeND: Credibility-Aware Multimodal Fake News Detection with Rotational Attention (2025) DOI

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