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Saurabh Agarwal is presently designated as a Research Professor in the Department of Computer Engineering at Yeungnam University, South Korea. He has a distinguished academic background with a Ph.D. in Computer Engineering from the University of Delhi, where his thesis focused on the design and analysis of image forensic techniques. Dr. Agarwal has accumulated extensive research and teaching experience, previously serving as a Postdoctoral Researcher at Andong National University and Kyungil University in South Korea. During his postdoctoral tenure, he led pioneering studies in image forgery detection utilizing advanced machine learning and deep learning techniques. Dr. Agarwal has held significant academic positions, including Associate Professor roles at Amity University and SRMSCET, Bareilly, India, where he instructed various computer science subjects, mentored students, and contributed to accreditation tasks. His academic contributions have been recognized with several prestigious awards, such as the Korean Research Fellowship and a Ph.D. fellowship from NSIT, Delhi. Notably, Infosys Technologies Limited highlighted his excellence in the Campus Connect Program. Dr. Agarwal's research interests encompass computer vision, image forensics, quantum computing, machine learning, and deep learning. He has published extensively, with numerous articles in high-impact international journals and conference proceedings. His recent publications include works on digital image steganalysis, forensic analysis, and image operator forensics, among others. In addition to his research, Dr Agarwal has actively participated in various training programs and workshops, including cloud computing, machine learning, and big data analytics. He has also contributed to the academic community as a reviewer for several prestigious journals and conferences. Dr Agarwal's academic qualifications include an M. Tech in Software Engineering from APJ AKTU, Lucknow, and a B.E. in Computer Science & Engineering from Barkatullah University, Bhopal. His extensive teaching experience spans over a decade, during which he has taught a wide range of subjects, mentored numerous students, and engaged in various administrative and examination duties. Dr. Agarwal has been instrumental in advancing the field of computer science through his innovative research and dedication to teaching. His work has significantly contributed to the understanding and development of image forensic techniques and machine-learning applications in digital forensics. Lakshmi D is presently designated as a Senior Associate Professor in the School of Computing Science and Engineering (SCSE) & Assistant Director, at the Centre for Innovation in Teaching & Learning (CITL) at VIT Bhopal. She has 17 international conference presentations, and 21 international journal papers inclusive of SCOPUS & SCI (cumulative impact factor 31). 3 SCOPUS inee book chapters. A total of 24 patents are in various states and 18 patents have been granted at both national and international levels. One Edited book with Taylor & Francis (SCOPUS Indexed). She has won two Best Paper awards at international conferences, one at the IEEE conference and another one at EAMMIS 2021. She received two awards in the year 2022. She received two awards in the year 2022. She has addressed innumerable guest lectures, acted as a session chair, and was invited as a keynote speaker at several international conferences. She has conducted FDPs that cover approximately 80,000 plus faculty members including JNTU, TEQIP, SERB, SWAYAM, DST, AICTE, MHRD, ATAL, ISTE, Madhya Pradesh Government-sponsored, and self-financed workshops across India on various titles.

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