Dr. Rohit  Thanki Author of Evaluating Organization Development

Dr. Rohit Thanki

AI Scientist
Prognica Labs Tech FZCO

Dr. Rohit Thanki is a computer vision expert and AI researcher with more than 5 years of work experience in areas of computer vision, medical image analysis & security, artificial intelligence and biometrics including 2 years of academic experience in various engineering institutions in India. Presently, he is working as a research & development director and AI Scientist, Prognica Labs Tech FZCO, Dubai Silicon Oasis, Dubai, UAE.


Dr. Rohit Thanki earned his PhD in multibiometric system security using the compressive sensing theory and watermarking from C. U. Shah University, Wadhwan City, Gujarat, India, in 2017. His areas of research are digital watermarking, the biometrics system, security, compressive sensing, pattern recognition, and image processing. He has published 7 books, 7 book chapters, and more than 25 research papers in refereed and indexed journals, and has participated in conferences at the international and national level. His international recognition includes professional memberships and services in refereed organizations and program committees, and being a reviewer for journals published by the Institute of Electrical and Electronics Engineers (IEEE), Elsevier, Taylor and Francis, Springer, and IGI Global.

Areas of Research / Professional Expertise

    Image Processing,
    Digital Watermarking
    Compressive Sensing
    Medical Image Analysis
    Machine Learning
    Deep Learning

Personal Interests

    Writing, Listening Music, Playing Cricket


Featured Title
 Featured Title - Digital Image Watermarking - 1st Edition book cover


Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Crypto – Watermarking Scheme for Tamper Detection of Medical Images

Published: Mar 28, 2019 by Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
Authors: Surekha Borra and Rohit Thanki
Subjects: Computer Science & Engineering

In this paper, a non-blind fragile watermarking is developed to invisibly hide and integrate patient’s unique information such as biometrics in their radiological images for secure authentication, integrity verification and tamper detection purposes.

The Imaging Science Journal

A steganographic approach for secure communication of medical images based on the DCT-SVD and the compressed sensing (CS) theory

Published: Aug 24, 2017 by The Imaging Science Journal
Authors: Rohit Thanki, Surekha Borra, Vedvyas Dwivedi & Komal Borisagar
Subjects: Computer Science & Engineering

In this paper, a hybrid approach based on cryptography and steganography is proposed for the security of medical image over an open communication channel. In this approach, medical image information is embedded using discrete cosine transform (DCT)-singular value decomposition (SVD)-based embedding process. The medical image is encrypted using CS encryption before embedding into the standard image.