Rajiv Pandey Senior Member IEEE for the last 17 years is a faculty at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus India. He has Edited Volumes on Semantic IoT, Blockchain, Quantum Systems, and AI/ML for EDGE computing, published by Springer, Taylor and Francis, and Elsevier. He has a diverse background experience of around 40 years, including 15 years of Industry and 25 years of academics. His research interests include contemporary technologies, such as Blockchain, cryptocurrencies, and Info. Security, Semantic Web Provenance, Cloud, Big Data, and Data Analytics. He has published more than 60 research papers in Scopus, and other science-indexed journals of repute. He has been Session chair and technical committee member for various IEEE and Elsevier conferences. He has been on technical committees of various government and private universities. He is an active contributor to professional bodies like IEEE, IET, and the Lucknow Management Association. Pratibha Maurya is currently an assistant professor at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus, India. She has more than 16 years of experience in academia. Her research interests include machine learning, data analytics, natural language processing, and information retrieval. She has published numerous journal and conference papers in these areas. She has been session chairs and technical committee members for various international conferences and editorial members for various journals. Jigna Prajapati has rich experience of 16 years in academia, research and IT industry, holding Doctorate in Computer Science. She claims on her name more than thirty international & national publication. She has secured many best paper awards in international & national Conferences in research category. She is Leading a team which involves work of Examination, its Infrastructure, Academic Planning & Development, Network Design & other administration. She is actively working in field of Artificial Intelligence & Machine Learning focusing on healthcare. She has delivered 11 invited session/hands-on in various conference, seminar and workshop. Kanishka Tyagi received his Bachelor's Degree in Electrical Engineering in 2008 from G.B.Pant University of Agriculture and Technology, India. Later he worked as a Research Associate at the Department of Electrical Engineering, Indian Institute of Technology, Kanpur, with Dr.P.K.Kalra. He received his M.S. and Ph.D. degree with Dr. Michael Manry in Department of Electrical Engineering at The University of Texas at Arlington in 2012 and 2017 respectively. Currently, he works as a lead machine learning autonomous driving scientist at Aptiv corporation in Agoura Hills, California. Prior to Aptiv, he worked at Siemens research, interned in ML groups at The MathWorks and Google Research. He spent two summer of his grad school as a visiting researcher at Ajou University and Seoul National University, South Korea. His research interests are optimization theory, music and audio processing, neural networks, hardware machine learning and radar machine learning. He received the 2007 and 2011 IEEE CIS Outstanding Student Paper Travel Grant Awards and the 2013 IEEE Computational Intelligence Society Walter Karplus Summer Research Grant award. Dr. Tyagi has published over 25 papers and filed 16 U.S and International patents/trade secrets.
