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9781032872025

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Prof. (Dr.) Dalia Younis is doctor in operations management from paramount university California. She is working as vice - Deen in AASTMT University Egypt, her research domains currently is machine learning applications in management and engineering. Prof. (Dr.) Ilona Paweloszek is a Doctor of Economics in the discipline of Management and Quality Sciences, a graduate of the Faculty of Management of the Czestochowa University of Technology, specializing in “development management and consulting.” She also completed pedagogical studies in training teachers of technical subjects. She has been a researcher and didactic employee at the Faculty of Management of the CUT since 1999, currently as an assistant professor at the Department of Management Information Systems. From 2002-2006, she researched mobile technologies in knowledge management, the usability of mobile solutions, and their integration with enterprise information systems. Her scientific and research interests focus on using semantic web technology, big data, and data mining to support managerial decisions. She is the author of several dozen publications, including three original monographs. She is a member of the Scientific Association of Business Informatics and the Polish Association for Production Management. Prof. (Dr.) Mamta Chahar is an Associate Professor at the NIET, NIMS University, Jaipur, India. She has done her Ph.D. from Indian Institute of Technology Delhi (IITD). She did her Postdoctoral research at University of Florida, USA and Touro University USA from 2009-2012. She has published 20 research papers in reputed International Journals and 6 Book chapters with international publishers. Her area of interest lies in Supramolecular Chemistry, Heterocyclic Chemistry, Peptide Chemistry, Medicinal Chemistry, Nanochemistry and Green Chemistry. Prof. (Dr.) Narendra Kumar is doctors of Computer Science & Engineering and Mathematics. He is working in NIMS Institute of Engineering and Technology, NIMS University Rajasthan, Jaipur. He has completed his M.Phil. (1994) with gold medal and Ph.D. (2003, 2012) from Dr. Bhimrao Ambedkar University, Agra. He has an academic experience for more than 28 years. He worked as Dean, Joint Director and Director in various universities. He has published more than two dozen books in the domain of mathematics, statistics and computer science and engineering, more than 70 research papers in national/ international journals. He has guided more than a dozen students for research degree. He has many patents in his credit and member of Board of studies in many universities. His key areas of research work are Mathematical modeling, Theory of relativity, Data science, Big data and brand management. Prof. (Dr.) Nino Abesadze is an academic Doctor of Economics. Graduated from Tbilisi State University 1987. In 1993, she defended her doctoral dissertation. In 1993-2006, she was a lecturer at Tbilisi State University, and since 2006 she is an associate professor at Ivane Javakhishvili Tbilisi State University, Faculty of Economics and Business, Department of Economic and Social Statistics. She is the author of 158 scientific papers, 15 Books and supporting manuals. Her field of research is tourism statistics, gender statistics, social statistics, business statistics. She is a participant of various grant projects, international conferences and seminars, she won a scholarship of the German Academic Exchange Service (DAAD) three times, she is a UN expert on price statistics, a member of the editorial board of various international journals. She is a member of the advisory board of the National Statistics Office of Georgia. Prof. (Dr.) Preeti Narooka is a professional with doctorate in computer science and engineering with 11 years of diverse experience in academics & industry. She has publications and patent in international/national area and also presented her work in various international conferences of good repute. She has taught different subjects in engineering and management institutes and also handled projects related to Enterprise risk services, Cloud computing, Python programming, Java programming, ERP system implementation, Big Data analytics in various organizations.

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