Suresh Chandra Satapathy & Jerry Chun-Wei Lin 
Computer Communication, Networking and IoT [PDF ebook] 
Proceedings of 5th ICICC 2021, Volume 2

Cloud-Based E-Learning : Scaffolding Environment for Adaptive E-Learning Ecosystem based on Cloud Computing Infrastructure.- Web Crawling based Search Engine for Programming Languages.- Smart Helmet for Coal Mine Monitoring.- K-Weighted Cluster Head Selection in Wireless Sensor Networks.- Implementation and Performance Analysis of PEGASIS, MIEEPB Protocols in Wireless Sensor Networks.- A Queue Management System for Cloud Data Processing.- Levy Based Optimisation in Performance Enhanced Smart Antenna System for 5G Communication.- Sensor Integration and Information Sharing for Automated Electric Vehicles for Better Estimation of the Surroundings.- Cloud Computed Solar Tracking System.- A Session Key Establishment from Fingerprint Biometrics for Secure Communication.

Suresh Chandra Satapathy is a Ph. D in Computer Science, currently working as Professor and at KIIT (Deemed to be University), Bhubaneshwar, Odisha, India. He held the position of the National Chairman Div-V (Educational and Research) of Computer Society of India and is also Senior Member of IEEE. He has been instrumental in organizing more than 20 International Conferences in India as Organizing Chair and edited more than 30 Book Volumes from Springer LNCS, AISC, LNEE, and SIST Series as Corresponding Editor. He is quite active in research in the areas of swarm intelligence, machine learning, and data mining. He has developed a new optimization algorithm known as Social Group Optimization (SGO) published in Springer Journal. He has delivered number of keynote address and tutorials in his areas of expertise in various events in India. He has more than 100 publications in reputed journals and conf proceedings. Dr. Suresh is in Editorial board of IGI Global, Inderscience, Growing Science journals, and also Guest Editor for Arabian Journal of Science and Engg published by Springer.

Jerry Chun-Wei Lin received his Ph.D. from the Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan in 2010. He is currently a full professor with the Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, Bergen, Norway. He has published more than 400 research articles in top-tier journals and conferences, 12 edited books, as well as 33 patents (held and filed, 3 US patents). His research interests include data analytics, soft computing, artificial intelligence/machine learning, optimization, Io T, and privacy preserving and security technologies. He is Editor-in-Chief of the International Journal of Data Science and Pattern Recognition. He has recognized as the most cited Chinese Researcher respectively in 2018, 2019, and 2020 by Scopus/Elsevier. He is the Fellow of IET (FIET), a senior member for both IEEE and ACM.

Lai Khin Wee received his Ph.D. from Technische Universitat Ilmenau, Germany and Universiti Teknologi Malaysia (UTM) under DAAD Ph.D. Sandwich Programme. He is currently the Head Programme (Master of Engineering) at Faculty of Engineering, University Malaya. He was appointed as Senior Lecturer in Biomedical Engineering Department, University Malaya in early 2013. Prior to that, besides being recognized by students and peers for his excellence as an educator, his contribution in biomedical imaging and point-of-care devices research has made him a regular recipient (more than 30 awards) of numerous international and national awards: multiples Special Awards and Gold Medals, Best of the Best Awards from ITEX, MTE, i-ENVEX, Ai NEX, PECIPTA, Bio Malaysia Expo, and other innovation and technology events organized by theministries agency in Malaysia. As for the global influence, Dr. Lai’s research prototype has represented Malaysia to participate i CREATe global challenge organized in Singapore, Thailand, and Japan in 2015, 2016, and 2017, respectively. In addition, he had received conference best presentation award from Fukuoka University Japan in 2015, the Best Sustainable Prototype Award in Digital Wonderland Singapore Expo 2019, awarded Honorable Mention Award in 2020 NSIEC by NCKU Taiwan, IEM Young Engineer Award 2021 by Institute of Engineers Malaysia, and IEEE-EMBS Early Career Achievement Award 2021 by IEEE-EMBS Malaysia Chapter. He upholds his academic pursuit by authoring more than 100 peer-reviewed ISI/Wo S- and Scopus-listed publications, proceedings, book chapters, laboratory worksheet, and guidelines (h-index 15). His innovations in his areas of expertise awarded him 16 patents and intellectual property rights and several major government and industries funded projects as principal investigator/co-researchers (completed 22 projects, 10 projects on-going) in collaboration with local and international researchers. Dr. Lai currently heads Advanced Analytic Research Group at Medical Imaging Laboratory and supervised 43 postgraduate students (7 Ph.D. and 18 Master completed, 11 Ph.D. and 7 Master on-going).

Vikrant Bhateja is an associate professor in the Department of Electronics and Communication Engineering (ECE), Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow (U.P.), and also the dean (Academics) in the same college. He is doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 18 years with around 180 publications in reputed international conferences, journals and online book chapter contributions; out of which 32 papers are published in SCIE indexed high impact factored journals. Among the international conference publications, four papers have received “Best Paper Award.” He has been instrumental in chairing/co-chairing around 25 international conferences in India and abroad as Publication/TPC chair and edited 35 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He is Editor-in-Chief of IGI Global–International Journal of Natural Computing and Research (IJNCR) an ACM and DBLP indexed journal since 2017. He has guest edited Special Issues in reputed SCIE indexed journals under Springer-Nature and Elsevier.

Rajesh T.M. has completed his Ph. D in Jan, 2017, from Dept. of CS&E, Jain University, Bengaluru. He carried out his research on Forensic Crime Detection area in Digital Image Processing and Pattern Recognition domain. Dr. Rajesh T.M has Total of 8+ years of experience in industry, research, and academics domains. He has two years of industrial experience at IGATE Global Solutions Ltd, Bangalore. In IGATE, he worked as Software Engineer for production Supportfor a client (RTBA and Westpac bank) in Australia. Rajesh T.M is currently guiding 3 Ph. D. research scholars in DIP, PR, CV and ML domains. His publications toward his research work include—7 Indian patents and 2 Australian patents in Io T and computer vision domains, 1 textbook in forensic crime detection area (multi-lingual signature identification and verification in forgery domain), 3 book chapters, 15 international journals, 5 book series and international conference proceedings and 2 national conference papers. His area of interest in research includes digital image processing, pattern recognition, video analytics, computer vision data analytics, and Io T.