Pradeep Kumar Singh & Maheshkumar H. Kolekar 
Emerging Technologies for Computing, Communication and Smart Cities [PDF ebook] 
Proceedings of ETCCS 2021

Health Care Transformation Traditional to Telemedicine : A Portrayal.- Comparative analysis of semantic similarity word embedding techniques for paraphrase detection.- Machine Learning approach for identifying survival of Bone Marrow Transplant patients.- Human Disease Prognosis and Diagnosis using Machine Learning.- Design and Development of Enhanced Secured Video Communication System for Medical Video Sensor Network.- A novel smart aging approach for monitor the lifestyle of elderlies and identifying anomalies.- Spatial Analysis of Violent Crime Dataset Using Machine Learning.- Design of facial recognition based touchless biometric system.- Cloud Supported Secure e-Card College Management System.- Smart Traffic Monitoring with Fog and Cloud Computing.- Optimal Power Flow Using Firefly Algorithm with Solar Power.- Experimental Evaluation of QFT Adders on IBM QX Hardware.- Adoption of Blockchain for Data Privacy in 6G-envisioned Augumented Reality: Opportunities and Challenges.- Reusability Estimation of Object-Oriented (O-O) Systems using SOM Technique.- Impact of Green Communication & Technology System.- Recent Advancement in Fine-Grained access control and secure data sharing scheme for distributed environment.- Review on Security of Internet of Things: Security Requirements, Threats, and Proposed Solutions.- Blockchain-driven and Io T-assisted Chemical Supply-Chain Management.

Dr. Pradeep Kumar Singh is currently working as a Professor in Department of Computer Science,  KIET Group of Institutions, Delhi-NCR Campus,  Ghaziabad, India. Dr. Singh is having life membership of Computer Society of India (CSI), Life Member of IEI and promoted to Senior Member Grade from CSI and ACM. He is Associate Editor of International Journal of Information Security and Cybercrime (IJISC) a scientific peer reviewed journal from Romania. He has published more than 120 research papers in various International Journals and Conferences of repute. He has received three sponsored research projects grant from Govt. of India and Govt. of HP worth Rs 25 Lakhs. He has edited total 10 books from Springer and Elsevier and also edited several special issues for SCI and SCIE Journals from Elsevier and IGI Global. He has Google scholar citations 1451, H-index 20 and i-10 Index 49 in his account. He is section editor of Discover Internet of Things, Springer Journal.
Dr. Maheshkumar H. Kolekar is working as Associate Professor in Department of Electrical Engineering at Indian Institute of Technology Patna, India. He received the Ph.D. degree in Electronics and Electrical Communication Engineering from the Indian Institute of Technology Kharagpur in 2007. During 2008 to 2009, he was a Post-Doctoral Research Fellow with the Department of Computer Science, University of Missouri, Columbia, USA. During May to July 2017, he worked as DAAD fellow in Technical University Berlin where he worked in the research area EEG signal analysis using machine learning. His research interests are in the area of Digital Signal, Image and Video Processing, Video surveillance, Biomedical Signal Processing, Deep Learning. Recently, he has authored a book titled as “Intelligent Video Surveillance Systems: An Algorithmic Approach”, CRC Press, Taylor and Francis Group, 2018. He has successfully completed R&D Project Sponsored by Principal Scientific Advisor to Govt of India on abnormal human activity recognition.
Dr. Sudeep Tanwar (Senior Member, IEEE) is currently working as a Professor with the Computer Science and Engineering Department, Institute of Technology, Nirma University, India. He is also a Visiting Professor with Jan Wyzykowski University, Polkowice, Poland, and the University of Pitesti in Pitesti, Romania. He received B.Tech in 2002 from Kurukshetra University, India, M.Tech (Honor’s) in 2009 from Guru Gobind Singh Indraprastha University, Delhi, India and Ph.D. in 2016 with specialization in Wireless Sensor Network. He has authored two books and edited 13 books, more than 250 technical articles, including top journals and top conferences, such as IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, IEEE WIRELESS COMMUNICATIONS, IEEE NETWORKS, ICC, GLOBECOM, and INFOCOM. He initiated the research field of blockchain technology adoption in various verticals, in 2017. His H-index is 44. He actively serves his research communities in various roles. His research interests include blockchain technology, wireless sensor networks, fog computing, smart grid, and the Io T. He is a Final Voting Member of the IEEE Com Soc Tactile Internet Committee, in 2020. He is a Senior Member of IEEE, Member of CSI, IAENG, ISTE, and CSTA, and a member of the Technical Committee on Tactile Internet of IEEE Communication Society. He has been awarded the Best Research Paper Awards from IEEE IWCMC-2021, IEEE GLOBECOM 2018, IEEE ICC 2019, and Springer ICRIC-2019. He has served many international conferences as a member of the Organizing Committee, such as the Publication Chair for FTNCT-2020, ICCIC 2020, and Wi Mob2019, a member of the Advisory Board for ICACCT-2021 and ICACI 2020, a Workshop Co-Chair for CIS 2021, and a General Chair for IC4S 2019, 2020, and ICCSDF 2020. He is also serving the editorial boards of Computer Communications, International Journal of Communication System, and Security and Privacy. He is also leading the ST Research Laboratory, where group members are working on the latest cutting-edge technologies Prof. Sławomir T. Wierzchoń received MSc and Ph D degrees in Computer Science from Technical University of Warsaw, Poland. He holds Habilitation (DSc) in Uncertainty Management from Polish Academy of Sciences. In 2003 he received the title of Professor from the President of Poland. Currently he is full professor at the Institute of Computer Science of Polish Academy of Sciences. His research interests include Computational Intelligence, Uncertainty Management, Information Retrieval, Machine Learning and Data Mining. He is an author/co-author of over 100 peer reviewed papers in international journals and international conferences. He published, as author/co-author, 11 monographs from the field of Machine Learning. In the period 2000-2013 he co organized 13 international conferences on intelligent information systems. Co-authored proceedings from these conferences were published by Springer. He co-edited two volumes of proceedings of the international conference on Computer Information Systems and Industrial Management and he has served as a guest co-editor of three special issues of Information & Control journal. Currently, he is member of the editorial board for some international journals, as well as member of many program committees for international conferences. He cooperated with medical centers in the area of statistical data analysis and knowledge discovery in data bases. 
Prof. (Dr.) Raj K Bhatnagar is currently working as a Professor of Computer Science, Department of Electrical Engineering and Computing Systems, University of Cincinnati, USA. He completed his B.Tech in IIT Delhi, India (1979) and Ph D in University of Maryland, USA (1989). He worked as a Visiting Professor in many institutions and he has taken many administrative responsibilities along with teaching profession at University of Cincinnati such as Graduate Program Director of CS Department and ECECS Department, Director of UG Computer Science Program, Co-Director of Graduate Certificate in Bio Informatics, Assoc. School Director and Graduate Program Director School of Computing Sciences and Informatics, Interim Department Head, Computer Science Department. His research interests includes Data mining, AI and pattern recognition problems, knowledge discovery and big data and cloud computing environments.