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About the Author

Balamurugan Balusamy is the professor of Data Sciences and Chief Research Coordinator at Galgotias University, NCR, India. His research focuses on the role of Data Sciences in various domains. He is the author of over a hundred Journal papers and book chapters on Data Sciences, IoT, and Blockchain. He has chaired many International Conferences and had given multiple Keynote addresses in Top Notch conferences across the Globe. He holds a Doctorate degree, masters, and Bachelors degree in Computer Science and Engineering from Premier Institutions. In his spare time, he likes to do Yoga and Meditation.

Nandhini Abirami R is a first year PhD student and a Research Associate in the School of Information Technology at Vellore Institute of Technology. Her doctoral research investigates the advancement and effectiveness of Generative Adversarial Network in computer vision. She takes a multidisciplinary approach that encompasses the fields of healthcare and human computer interaction. She holds a master's degree in Information Technology from Vellore Institute of Technology, which investigated the effectiveness of machine learning algorithms in predicting heart disease. She worked as Assistant Systems Engineer at Tata Consultancy Services.

Amir H. Gandomi is a Professor of Data Science and an ARC DECRA Fellow at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at Stevens Institute of Technology, USA and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over two hundred journal papers and seven books which collectively have been cited 19,000+ times (H‐index = 64). He has been named as one of the most influential scientific mind and Highly Cited Researcher (top 1% publications and 0.1% researchers) for four consecutive years, 2017 to 2020. He also ranked 18th in GP bibliography among more than 12,000 researchers. He has served as associate editor, editor and guest editor in several prestigious journals such as AE of SWEVO, IEEE TBD, and IEEE IoTJ. Prof Gandomi is active in delivering keynotes and invited talks. His research interests are global optimisation and (big) data analytics using machine learning and evolutionary computations in particular.