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Chapter 1.Smart Dustbin: A Reward Provider.- Chapter 2.Cyclic Exploration-based Whale Optimization to Linear Discriminant Regression Classification for Face Recognition.- Chapter 3.Auction System in Food Supply Chain Management using Blockchain.- Chapter 4.The Mechanism of Generating the Automated Java Unit Test Cases by achieving Maximum Code Coverage.- Chapter 5.Line Stability Index Based Voltage Stability Assessment Placing Series Compensation of TCSC.- Chapter 6.Preventing Crime Using Advanced Artificial Intelligence Techniques.- Chapter 7.Issue Resolution Process: Salesforce.- Chapter 8.Automated Member Enrollment: Health Insurance Agency.- Chapter 9.Comprehensive Analysis of State of the Art Techniques for VQA.- Chapter 10.Study of State of Arts Methods for Event Extraction.- Chapter 11.A Survey on Identification of Illegal Wildlife Trade.- Chapter 12.An approach for optimizing algorithms which find k1-most demanding products.- Chapter 13.Homomorphic Analysis of Privacy-Preserving Psychological Medical Records.- Chapter 14.Prediction of Rice Plant Diseases based on Soil and Weather conditions.- Chapter 15.An improved web information system through identification of faculty browsing patterns in affiliated engineering institutions.

<p>Dr. Kiran Mai, Cherukuri&nbsp;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 learning and intelligent systems and staff development programme in data mining, with the funding from AICTE. She actively participated in the research projects and guided nearly 75 UG projects and 20 PG projects. Currently, four research scholars are working under her guidance. She co-chaired many international conferences. Her research paper on data mining for deforestation using Polyanalyst, presented at the IEEE conference held at Seoul, South Korea, in 2005, was selected as best paper. She was on the editorial board for two Korean journals. Her areas of interest are network communications, data engineering and block chain technologies.</p>

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<p>Dr. B.V. Kiranmayee&nbsp;is currently working as an Associate Professor and Heading Department of Computer Science & Engineering at VNR VJIET. She obtained her Ph.D. from JNTU Hyderabad in the area of data mining, M.Tech. in 2007 and B.Tech. in 1995 in Computer Science and Engineering. She has a rich teaching and research experience of 22 years in VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. She has more than 20 research papers published in various reputed national/international conferences and journals which are listed in Scopus, IEEE, Springer Proceedings, etc. She is the member of IEEE and lifetime member of ISTE and CSI. Dr. Kiranmayee’s research interests include data mining, algorithms, image processing, machine learning, deep learning and blockchain technologies. She has rich experience in generating funds from various funding sources like UGC, Consultancies such as organizing Virtual Tour for Warangal Tourism, Developing Educational Videos for School Children and TCS Online examinations. She is the convener for conducting many seminars/workshops/FDPs for the benefit of students and faculty in and out by the eminent personalities from various reputed institutions and industries. She is the Chairman of Board of Studies for the department and also served as BOS member in various other engineering colleges. She has played a crucial role in establishing Center of Excellence in Data Science, Big Data, Virtual Reality and Augmented Reality. In her leadership, the department has undergone MoUs with various prestigious software industries and academic institutions for reducing the gap between Industry and Academia. She has contributed more towards in successions of getting NBA accreditation, NAAC A++, QS Diamond rating and NIRF ranking. She got Best Paper Award for “Eye state Detection and Analysis for Driver’s Fatigue” in the International Conference of Systemics, Cybernetics and Informatics. She has guided many UG and PG projects in various mezzanine technologies. Under her mentorship, the students have bagged various ISTE and CSI awards like “Best Student Innovator”, “Best CSE Student”, Best Accredited Student Branch and Highest Committed Student Branch Activist.&nbsp; Under the guidance and motivation, many students have excelled and won awards in various coding competitions like Smart India Hackathon 2018 and 2019, Code for Good (JPMC), Swish Hackathon, ACM/ICPC, VesAithon, etc.</p>

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<p>Dr. Margarita N. Favorskaya&nbsp;is a Professor and Head of the Department of Informatics and Computer Techniques at Siberian State Aerospace University, Russian Federation. Professor Favorskaya is a member of KES organization since 2010, the IPC member and the Chair of invited sessions of international conferences. She serves as a reviewer in international journals (Neurocomputing, Knowledge Engineering and Soft Data Paradigms, Pattern Recognition Letters, Engineering Applications of Artificial Intelligence) and an Associate Editor of Intelligent Decision Technologies Journal and Computer and Information Science Journal. She is the author or the co-author of 160 publications and 20 educational manuals in computer science. She co-edited three books for Springer recently. She supervised eight Ph.D. candidates and presently supervising five Ph.D. students. Her main research interests are digital image and videos processing, remote sensing, pattern recognition, fractal image processing, artificial intelligence and information technologies and the applications of artificial intelligence techniques in many disciplines including mechanical engineering, electrical engineering, health care and so on.&nbsp;</p>

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<p>Suresh Chandra Satapathy&nbsp;is currently working as Professor, KIIT Deemed to be University, Odisha, India. He obtained his Ph.D. in Computer Science Engineering from JNTUH, Hyderabad, and Master’s degree in Computer Science and Engineering from National Institute of Technology (NIT), Rourkela, Odisha. He has more than 27 years of teaching and research experience. His research interest includes machine learning, data mining, swarm intelligence studies and their applications to engineering. He has more than 98 publications to his credit in various reputed international journals and conference proceedings. He has edited many volumes from Springer AISC, LNEE, SIST and LNCS in past, and he is also the editorial board member in few international journals. He is a senior member of IEEE and life member of Computer Society of India. Currently, he is the National Chairman of Division-V (Education and Research) of Computer Society of India.&nbsp;</p>

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<p>Dr. K Srujan Raju&nbsp;is currently working as Dean Student Welfare and Heading Department of Computer Science & Engineering at CMR Technical Campus. He obtained his Doctorate in Computer Science in the area of Network Security. He has more than 20 years of experience in academics and research. His research interest areas include computer networks, information security, data mining, cognitive radio networks and image processing and other programming languages. Dr. Raju is presently working on 2 projects funded by Government of India under CSRI & NSTMIS, has also filed 7 patents and 1 copyright at Indian Patent Office, edited more than 14 books published by Springer Book Proceedings of AISC series, LAIS series and other which are indexed by Scopus, also authored books in C Programming & Data Structure, Exploring to Internet and Hacking Secrets, contributed chapters in various books and published more than 30 papers in reputed peer-reviewed journals and international conferences. Dr. Raju was invited as Session Chair, Keynote Speaker, Technical Programme Committee member, Track Manager and reviewer for many national and international conferences also appointed as subject Expert by CEPTAM DRDO – Delhi & CDAC. He was undergone specific training conducted by Wipro Mission 10X & NITTTR-Chennai which helped&nbsp;his involvement with students is very conducive for solving their day to day problems. He has guided various student clubs for activities ranging from photography to Hackathon. He mentored more than 100 students for incubating cutting-edge solutions. He has organized many conferences, FDPs, workshops and symposiums. He has established the Centre of Excellence in IoT and Data Analytics. Dr. Raju is a member of various professional bodies and received Significant Contributor Award and Active Young Member Award from Computer Society of India and also served as Management Committee member, State Student Coordinator & Secretary of CSI – Hyderabad Chapter.</p><p></p>

<p>This book comprises the best deliberations with the theme “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems”&nbsp;in the&nbsp;“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.&nbsp;&nbsp;</p><p> </p><p>&nbsp;</p><p></p><p></p>

Presents research works in the field of communication systems Comprises best selected papers presented at ICACECS 2020 held in Hyderabad, India Serves as a reference for researchers and practitioners in academia and industry