This book covers both basic and high-level concepts relating to the intelligent computing paradigm and data sciences in the context of distributed computing, big data, data sciences, high-performance computing and Internet of Things.
It is becoming increasingly important to develop adaptive, intelligent computing-centric, energy-aware, secure and privacy-aware systems in high-performance computing and IoT applications. In this context, the book serves as a useful guide for industry practitioners, and also offers beginners a comprehensive introduction to basic and advanced areas of intelligent computing. Further, it provides a platform for researchers, engineers, academics and industrial professionals around the globe to showcase their recent research concerning recent trends. Presenting novel ideas and stimulating interesting discussions, the book appeals to researchers and practitioners working in the field of information technology and computer science.
Sheng-Lung Peng is a full Professor of the Department of Computer Science and Information Engineering at National Dong Hwa University, Taiwan. He received the BS degree in Mathematics from National Tsing Hua University, and the MS and PhD degrees in Computer Science and Information Engineering from the National Chung Cheng University and National Tsing Hua University, Taiwan, respectively. His research interests are in designing and analyzing algorithms for Combinatorics, Bioinformatics, and Networks. Dr. Peng has edited several special issues at journals, such as Soft Computing, Journal of Internet Technology, Journal of Computers and MDPI Algorithms. He is also a reviewer for more than 10 journals such as IEEE Transactions on Emerging Topics in Computing, Theoretical Computer Science, Journal of Computer and System Sciences, Journal of Combinatorial Optimization, Journal of Modelling in Management, Soft Computing, Information Processing Letters, Discrete Mathematics, Discrete Applied Mathematics, Discussions Mathematicae Graph Theory, and so on. He published more than 100 international conferences and journal papers. Dr. Peng is now the dean of the Library and Information Services Office of NDHU and an honorary Professor of Beijing Information Science and Technology University of China. He is a secretary general of Institute of Information and Computing Machinery (IICM) in Taiwan. He is also a director of the ACM-ICPC Contest Council for Taiwan. Recently, he is elected as a supervisor of Chinese Information Literacy Association and of Association of Algorithms and Computation Theory (AACT). He has been serving as a secretary general of Taiwan Association of Cloud Computing (TACC) from 2011-2015 and of AACT from 2013-2016. He was also a convener of the East Region of Service Science Society of Taiwan from 2014-2016.
Le Hoang Son obtained the PhD degree on Mathematics - Informatics at VNU University of Science, Vietnam National University (VNU) in conjunction with the Politecnico di Milano University, Italy in 2013. He has been promoted to Associate Professor in Information Technology in Vietnam since 2017. Dr. Son worked as senior researcher and Vice Director at the Center for High Performance Computing, VNU University of Science, Vietnam National University during 2007 - 2018. From August 2018, he is Senior Researcher of Department of Multimedia and Virtual Reality, VNU Information Technology Institute. His major fields include Artificial Intelligence, Data Mining, Soft Computing, Fuzzy Computing, Fuzzy Recommender Systems, Geographic Information System. He is a member of Vietnam Journalists Association, International Association of Computer Science and Information Technology, Vietnam Society for Applications of Mathematics, Key Laboratory of Geotechnical Engineering and Artificial Intelligence in University of Transport Technology. Dr. Son is an Associate Editor of Journal of Intelligent & Fuzzy Systems (SCIE), IEEE Access (SCIE), Data Technologies and Applications (SCIE), International Journal of Data Warehousing and Mining (SCIE), Neutrosophic Sets and Systems (ESCI), Vietnam Research and Development on Information and Communication Technology, VNU Journal of Science: Computer Science and Communication Engineering, Frontiers in Artificial Intelligence.
He serves as Editorial Board of Applied Soft Computing (SCIE), PLOS ONE (SCIE), International Journal of Web and Grid Services (SCIE), International Journal of Ambient Computing and Intelligence (ESCI), and Vietnam Journal of Computer Science and Cybernetics. Dr. Son is the Guest Editor of several Special Issues at International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (SCIE). Dr. Son served as a reviewer for various international journals and conferences. He gave a number of invited talks at many conferences since 2015. Up to now, he has 168 publications in prestigious journals and conferences including 109 ISI papers (SCI: 21, SCIE: 81, ESCI: 7) and 01 SCOPUS paper and undertaken more than 20 major joint international and national research projects. He has published 6 books and book chapters. He supervised more than 54 theses including 02 PhD and 16 Master students.
So far, he has awarded "2014 VNU Research Award for Young Scientists", "2015 VNU Annual Research Award", "2015 Vietnamese Mathematical Award", and "2017 Vietnamese Mathematical Award".
G.Suseendran received his M.Sc., Information Technology and M.Phil., degree from Annamalai University, Tamil Nadu, India and Ph.D., degree in Information Technology-Mathematics from Presidency College, University of Madras, Tamil Nadu, India. In additional qualification, he has obtained DOEACC 'O' Level AICTE Ministry of Information Technology and Honor Diploma in Computer Programming. He is currently working as Assistant Professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India which is well known University. He has years of teaching experience in both UG and PG Level. His research interests include Ad-hoc networks, Data Mining, Cloud Computing, Image Processing, Knowledge-based systems and Web Information Exploration. He has been actively involved in professional bodies Elected Member in London Mathematical Society, Member in Michigan Association for Computer Users in Learning (MACUL) USA, Member in International Association of Engineers (IAENG) Hong Kong, Member in Institute for Engineering Research and Publication (IFERP), Member in Computer Science Teacher Association (CSTA) New York. He serves as Editor/ Editorial Board Member / Technical Committee/ Reviewer of International Journal such Arab/ Poland/ Europe/ USA journals (Thomson Reuters, SCI, and Elsevier). He servers as International Committee Members towards International Conference conducted in association with IEEE, Springer and Scopus.
Balaganesh is a Dean of Faculty Computer Science and Multimedia, Lincoln University College, Malaysia. He is the one of the key member of Lincoln University College. He has 18 years of professional teaching experience which include overseas experience in India, Oman and Malaysia. He has In-depth knowledge of Information technology and latest wireless fidelity. His Familiar research area is Malware detection, web mining and open source technology. He has given training in mobile application, open source ERP, software testing, and MYSQL. He has developed software applications "Timetable Automation", "Online Exam". He has ability to explain technical concepts and ideas in a clear and precise way.
Comprehensive Guide to Implementation of Data Warehouse in Education.- Computational Biology Tool Towards Studying the Interaction Between Azadirachtin Plant Compound with Cervical Cancer Proteins.- Intelligent Agent Based Organization For Studying the Big Five Personality Traits.- Automatic Pruning of Rules Through Multi-Objective Optimization - A Case Study With a Multi-Objective Cultural Algorithm.- Knowledge Genesis And Dissemination: Impact On Performance In Information Technology Services.- Artificial Intelligence Based Load Balancing In Cloud Computing Environment: A Study.- Implementation of Statistical Data Analytics in Data Science Life Cycle.- A Big Data Analytics-Based Design for Viable Evolution of Retail Sector.- Document Content Analysis Based on Random Forest Algorithm.- Sensing The Prostatectomy in Neuroendocrine Metastatic Active Surveillance in Data Mining Techniques.- Work Load Forecasting Based On Big Data Characteristics In Cloud Systems.- Phrase Extraction Using Pattern Based Bootstrapping Approach.- IOT Based Trash Collection Bin Using Arduino.