Springer Proceedings of International Conference on Advances in Computer Engineering and Communication Systems: ICACECS 2020: 20 (Learning and Analytics in Intelligent Systems, 20)

This book comprises the best deliberations with the theme “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” in the “International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)”, organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights on the recent trends and developments in the field of computer science with a special focus on the mezzanine technologies and creates an arena for collaborative innovation. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet on things, distributed computing and smart systems.     From the Back Cover This book comprises the best deliberations with the theme “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” in the “International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2020)”, organized by the Department of Computer Science and Engineering, VNR Vignana Jyothi Institute of Engineering and Technology. The book provides insights on the recent trends and developments in the field of computer science with a special focus on the mezzanine technologies and creates an arena for collaborative innovation. The book focuses on advanced topics in artificial intelligence, machine learning, data mining and big data computing, cloud computing, Internet on things, distributed computing and smart systems.     About the Author Dr. Kiran Mai, Cherukuri working as Professor in the Department of Computer Science& Engineering, VNR VJIET, has over 31 years of experience in the field of academic research and technological education. She has a multi-disciplinary approach due to varied roles taken up, including but not limited to teaching, research and administration. She was awarded as “Best teacher in Computer Science” in the year 2010, by the professional body―International Society for Technology in Education (ISTE). She also worked at various administrative positions in the institute (Principal, Dean Academics and Head of the Department) and has an extensive experience in internal administrative tasks and communication. As a Head of the Department, took the prime lead, in setting up the UG and PG laboratories and a research lab in virtual reality and real-time computing. While serving in the administrative positions as Vice-Principal and Principal, she was instrumental in designing the policies and strategies for the institute and also the administrative manuals. Dr. Kiran Mai also administered the processes and could get five departments of the institute recognized as research centres by the JNTUH, the affiliating university. The institute was twice NBA accredited, NAAC accredited with 3.71 CGPA and was also sanctioned UGC autonomous status, while she was in the role of Vice-Principal. As Dean Academics, she played key role in curriculum revision, enhanced the learning by doing component for practical courses and introduced the concept of WIT & WIL (Why I am Teaching, What am I teaching and Why I am Learning, What am I learning). With her industrial experience, where she headed ISO 9002 division – document control, she could frame and document the processes and procedures in the institute with ease. This made the institute also ISO certified. Being a member of the Internal Quality Assurance Cell (IQAC), she administers the quality procedures in the institute and performs periodical audit of the academic and administrative processes. Under her leadership, the institute was recognized by UGC as College with Potential for Excellence, got the UG and PG courses re-accredited. She published 36 papers in various reputed national and international journals and conducted faculty development programme in deep lear