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|Arshi Naim - Editor|Dr. Arshi Naim , is recognized among the top 2% of Global Scientists (Stanford University and Elsevier 2024). She is a distinguished scholar with a Ph.D. in Business Management and an MBA in Marketing. Her academic journey, rooted in excellence, began with First Class Honors in Economics from Aligarh Muslim University. As an e-learning expert and certified peer reviewer with Quality Matters, U.S., Dr. Naim has further enhanced her expertise with certificates in Digital Marketing and Social Media Analytics from Accenture, UK, and entrepreneurship from Harvard University. A prolific researcher, she has authored over 79 Scopus and Web of Science-indexed publications and penned more than 10 acclaimed books with prestigious publishers like Taylor & Francis, Nova Sciences and IGI Global. Her work seamlessly blends theory and practice, inspiring future generations of scholars. Through her commitment to mentoring doctoral students and her extensive contributions to global research, Dr. Naim continues to shape the landscape of academic excellence.
V. Ajantha Devi is working as a Research head in AP3 Solutions, Chennai, Tamil Nadu, India. She received her PhD from University of Madras in 2015. She has worked as Project Fellow under UGC Major Research Project. She is a senior IEEE member. She has been certified as “Microsoft Certified Application Developer” (MCAD) and “Microsoft Certified Technical Specialist” (MCTS) from Microsoft Corp. She has more than 45 papers in international journals and conference proceedings to her credit. She has written, co-authored, and edited a number of books in the field of Computer science with international and national publishers like Elsevier, Springer., etc. Associated as a member of the Program Committee/Technical Committee/Chair/Review Board for a variety of international conferences. She has five Australian Patents and one Indian Patent to her credit in the area of Artificial Intelligence, Image Processing and Medical Imaging. Her work in Image Processing, Signal Processing, Pattern Matching, and Natural Language Processing is based on artificial intelligence, machine learning, and deep learning techniques. She has won many Best paper presentation awards as well as a few research-oriented international awards.
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