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Dr Preeti Mehta

Assistant Professor

Dr. Preeti Mehta is an academician currently serving as Assistant Professor in the School of Computer Science & Engineering at IILM University, Gurugram. She has academic, research, and teaching experience across premier institutions including IILM University, National Institute of Technology Delhi, and JC Bose University of Science & Technology, YMCA. Her research focuses on computer vision, digital image forensics, multimedia security, machine learning, deep learning, and digital image processing, with particular emphasis on image authenticity and recaptured image detection. She has published research in reputed SCI-indexed journals, IEEE and Springer conferences, and a CRC Press book chapter. She is the recipient of the ANRF International Travel Support (ITS) Grant for DEXA 2026 and currently leads an ACM COMPUTE 2026 Working Group investigating programming competency in the era of Generative AI.

Educational Qualification

  • PhD, Digital Image Processing, National Institute of Technology Delhi (2023)
    – Thesis: Digital Image Forensic Techniques for Detection of Image Rebroadcast Attacks
  • M.Tech., Robotics & Automation Engineering, Indira Gandhi Delhi Technical University for Women, Delhi (2016)
    CGPA: 8.10
  • B.Tech., Electronics & Communication Engineering, JC Bose University of Science & Technology, YMCA, Faridabad (2014)
    CGPA: 8.026

Research and Scholarly Publications

SELECTED SCI/SCOPUS JOURNAL PUBLICATIONS

  • Thakur R, Jayasinghe JP, Mehta P. Interpretable and robust multimodal fake news detection with evidence fusion. Int. J. Data Science & Analytics. 2026.  (IF: 2.4)
  • Mehta P, Sagar A, Kumari S. Domain generalized recaptured screen image identification using Swin Transformer. Signal, Image & Video Processing. 2025.  (IF: 3.36)
  • Mehta P, Singh MK, Singha N. Screen-camera robust watermarking using Arnold transform and DDDTWT. Multimedia Tools & Applications. 2025.  (IF: 2.757)
  • Mehta P, Singh MK, Singha N. Recaptured attack-resilient watermarking scheme. Journal of Electronic Imaging. 2022.  (IF: 0.945)
  • Mehta P, Singh MK, Singha N. Near-duplicate image detection based on wavelet decomposition with modified deep learning. J. Electronic Imaging. 2022.  (IF: 0.945)
  • Mehta P, Tripathi RK. Near-duplicate detection for LCD screen images using edge histogram descriptor. Multimedia Tools & Applications. 2022.  (IF: 2.757)
  • Mehta P, Tomar P. Efficient attendance management based on face recognition using MATLAB & Raspberry Pi 2. IJETSR. 2016.
  • Mehta P. Automation in agriculture: Agribot for weed detection and herbicide spraying — a review. J. Basic & Applied Engg. Research. 2016.

BOOK CHAPTER

  • Mehta P, Singh MK, Singha N. Computer Vision-based ML Models for Healthcare System. In: Computer Vision and AI-Integrated IoT Technologies in Medical Ecosystem. CRC Press, Taylor & Francis Group, 2023.CONFERENCE

CONFERENCE 

  • Mehta P, Maheshkar S, Maheshkar V. Effective Video Bootleg Detection using Noise Analysis in Frequency Domain. CVIP 2019, Springer, Singapore.
  • Mehta P. Detection of Near-Duplicate Images using Statistical Texture Features. ASIANCON 2021, IEEE.
  • Yadav AS, Mehta P, Mishra D, Barik RK. Enhanced ECG Data Compression and Classification Using 2D CNN. ESIC 2025, IEEE.
  • Mehta P, Sagar A, Kumari S. Enhancing image authenticity detection: Swin transformers and color frame analysis for CGI vs. Real images. Procedia Computer Science. 2025.
  • Mehta P, Sagar A, Kumari S. Swin Transformer for Robust Differentiation of Real and Synthetic Images. CVIP 2024, Springer Nature Switzerland.

AWARDS AND ACHIEVEMENTS

  • ANRF International Travel Support (ITS) Grant for DEXA 2026, Graz, Austria.
  • Working Group Leader, ACM COMPUTE 2026.
  • Qualified GATE three times (2014, 2016, 2020).
  • MHRD Scholarship for M.Tech and Ph.D.

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