Call for Papers

Theme: Building Intelligence through IoT and Big Data
Since the early 1990s, Soft Computing has become a formal area of research in Computer Science. It covers computational techniques in machine learning, computer science, and engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. Unlike conventional (hard) computing scheme, soft computing deals with imprecision, uncertainty, partial truth, and approximation to achieve practicability, robustness, and low solution cost. Usually, these kinds of problems originate in the human mind with all its doubts, subjectivity, and emotions. Since the beginning of the digital age (around 2002), data has multiplied over 200 times. Some estimated that 2.5 quintillion bytes of data are created every day. The challenges of big data’s deluge demand a different paradigm in the way data is captured, curated, and analyzed. The data-intensive science has been proposed to deal with the 4 Vs (volume, velocity, variety, and veracity) of big data. Meanwhile, the recent development of Internet of Things (IoT) makes possible for "connected and smart" devices, equipped with sensors and actuators, to be sensed and/or controlled remotely. The proliferation of IoT will further escalate the amount of data generated. By those two emerging trends, the intelligent systems are being challenged to come up with new models and/or frameworks to integrate, transform, harmonize, manage, and visualize the humongous data in near real-time, so that knowledge can be obtained and insights discovered. Things get more interesting when this materializes.

With the conference theme Building Intelligence Through IoT and Big Data, ICSIIT 2017 encourages topics related, but not limited to the following three aspects:
1. Models and Algorithms for Intelligence Computation:

  • Neural Network and Machine Learning
  • Fuzzy Set
  • Probabilistic Reasoning and Belief Network
  • Genetic Algorithms and Meta-Heuristic Optimization
  • Predictive Analytics
  • Cognitive Science and Computing
  • Foundational Models for Big Data
  • Big Data Analytics and Metrics
  • Semantic Data Description Frameworks
  • Image Processing and Pattern Recognition

2. Infrastructure and Basic Components for Distributed Computation:

  • Data fusion/integration/management
  • Computer Networks and Distributed Systems
  • Virtualization Technology
  • Service/Cloud Computing
  • Data and Network Security
  • Big Data Architectures and Platforms (MapReduce, Spark, and others)
  • Middleware and Platforms for Data Collection, Integration, and Analysis
  • IoT Architectures
  • Mobile and Pervasive IoT Applications
  • Seamless Human-to-object and Object-to-object interactions

3. Supporting Systems and Applications for Decision Making:

  • Expert System
  • Decision Support System
  • Intelligent Information System
  • Multi Agent System
  • Augmented and Virtual Reality
  • Analytics Service System
  • Case Study of Intelligence Systems for Enterprise, Government and Society
  • Big Data Visual Analytics
  • Big Data applications for Enterprise, Government, and Society
  • Real-time Decision Making

Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings.
Submitted papers will be blindly peer reviewed by at least three members of the international program committee and carefully evaluated based on originality, significance, technical soundness, and clarity of exposition. Accepted papers will appear in the conference proceedings. The submitted papers should not exceed 6 pages (additional pages will be charged $50/page (or Rp. 500,000 domestic)) and must follow the conference paper templates, which can be found in the author's instruction page here IEEE Paper Template