Frontiers in Intelligent Computing: Theory and Applications: Proceedings of the 7th International Conference on FICTA (2018), Volume 1: 1013 (Advances in Intelligent Systems and Computing) - Tapa blanda

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Prof. Suresh Chandra Satapathy is currently working as a Professor, School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India. He obtained his Ph.D. in Computer Science and Engineering from JNTU Hyderabad and M.Tech. in CSE from NIT, Rourkela, Odisha, India. He has 27 years of teaching experience. His research interests are data mining, machine intelligence, and swarm intelligence. He has acted as program chair of many international conferences and edited over 25 volumes of proceedings from Springer series from LNCS,  AISC, LNNS, LNEE, SIST, etc. He is also in the Editorial board of few international Journals and has over 130 research publications in International journals and conference proceedings.  

Vikrant Bhateja is an Associate Professor at the Department of ECE, SRMGPC, Lucknow, and Head of Academics & Quality Control at the same college. His areas of research include digital image and video processing, computer vision, medical imaging, machine learning, pattern analysis and recognition. He has authored more than 120 publications in various international journals and conference proceedings. Prof Vikrant is an associate editor for the International Journal of Synthetic Emotions (IJSE) and International Journal of Ambient Computing and Intelligence (IJACI).

Nguyen Bao Le is the Vice Provost of the Duy Tan University (DTU), Vietnam, where he is in charge of the Technology & Engineering Division. His research domain includes data warehousing, 3D animation, and online marketing. Under his design and supervision, software teams at DTU have constructed various academic, HR, and financial information systems over the past 10 years. He also brought about the adoption of CDIO (Conceive-Design-Implement-Operate) and PBL (Problem-Based Learning) models at DTU and has helped sustain the university-wide CDIO and PBL efforts.

Nguyen Nhu Gia received his Ph.D. degree in Computer Science from the Hanoi University of Science, Vietnam, and is Vice Dean of the Graduate School at the Duy Tan University. He has over 17 years of teaching experience, and has published more than 40 publications in various conference proceedings and leading international journals. His research interests include algorithm theory, medical imaging, network optimization, and wireless security. He was the organizing chair of (Springer LNAI) IUKM 2016 held in Vietnam. He is an associate editor of the International Journal of Synthetic Emotions (IJSE).

Dac-Nhuong Le, Ph.D., is the Deputy Head of the Faculty of Information Technology, Haiphong University, Vietnam. He has published over 45 papers at leading international conferences and in journals, as well as  online book chapters. His areas of research include evaluation computing and approximate algorithms, network communication, security and vulnerability, network performance analysis and simulation, cloud computing, and image processing in biomedicine. His core work is in network security, wireless, soft computing, mobile computing, and virtual reality. Recently, he has been the technical program committee member, technical reviewer, and track chair for a number of international conferences, and he is on the editorial board of various international journals. He has  authored 8 computer science books. 

De la contraportada

This book presents the proceedings of the 7th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2018), held at Duy Tan University, Da Nang, Vietnam. The event brought together researchers, scientists, engineers, and practitioners to exchange new ideas and experiences in the domain of intelligent computing theories with prospective applications in various engineering disciplines.

These proceedings are divided into two volumes. Covering broad areas of information and decision sciences, with papers exploring both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols and architectures, this volume is a valuable resource for postgraduate students in various engineering disciplines.