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Dr. Vartika Agarwal

Assistant Professor Computer Applications

Dr. Vartika Agarwal is an Assistant Professor in the Department of Computer Applications with strong academic and research expertise in the Internet of Things (IoT), Computer Vision, and Artificial Intelligence / Machine Learning (AI/ML). She has published more than 25 research papers in reputed national and international journals and conferences, including SCI- and Scopus-indexed publications, with leading publishers such as Elsevier, Springer, and Inderscience.

In addition to her extensive publication record, she has published and been granted patents in the domains of intelligent systems and emerging technologies, highlighting the practical relevance and innovation-driven impact of her research work. She actively contributes to the academic community by serving as a reviewer for reputed international journals published by Elsevier, Springer, and Inderscience, ensuring the quality and rigor of scholarly research.

Her teaching and research interests are focused on the application of intelligent, data-driven, and deep learning techniques to solve real-world problems, particularly in the areas of smart systems, intelligent transportation systems, and next-generation computing technologies. She is also keenly involved in mentoring students and guiding research projects that bridge the gap between theoretical concepts and practical implementations.

Research Area

  • Internet of Things (IoT)
  • Computer Vision
  • Artificial Intelligence / Machine Learning (AI/ML)

Education

  • MCA
  • Ph.D.

Research Detail

https://scholar.google.com/citations?user=d-elDEkAAAAJ&hl=en

https://www.scopus.com/authid/detail.uri?authorId=57212947498

Journal Name Title Status Indexing Impact Factor Published URL / Reference
Computers and Electrical Engineering Automatic number plate detection and recognition using YOLO world Published Scopus and SCI 4.0 Link
International Journal of Vehicle Information and Communication Systems Societal impact of resource management in vehicular communication networks Accepted (Assigned to typesetter) Scopus 0.43 Assigned to Typesetter
International Journal of Information Technology DQN Algorithm for network resource management in vehicular communication network Published Scopus 4.80 Link
International Journal of Computing and Digital Systems P2pcpm: Point to point critical path monitoring based denial of service attack detection for vehicular communication network resource management Published Scopus 1.08 Link
International Journal of Image, Graphics and Signal Processing (IJIGSP) EMVD: efficient multitype vehicle detection algorithm using deep learning approach in vehicular communication network for radio resource management Published Scopus 1.84 Agarwal, V., & Sharma, S. (2022). Int J Image Graph Signal Process (IJIGSP), 14(2), 25-37.
International Journal of Vehicle Information and Communication Systems Route forecasting-based authentication scheme using A* algorithm in vehicular communication network Published Scopus 0.43 Agarwal, V., Sharma, S., & Bansal, G. (2023). Int J Vehicle Inf Commun Syst, 8(1-2), 16-32.
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