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ICCSCI 2022 Conference Theme:

Development of Artificial Intelligent and Computer Science Research as Breakthrough for Industry and Society

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The scope of ICCSCI 2022 is the theory, application and experiment on computer science and its supporting fields, especially on the field of computational intelligence. While the theme of ICCSCI 2022 is “Development of artificial intelligence and computer science research as a breakthrough for industry and society”. Any works presented in ICCSCI must conform to the scope of the conference, while conformity with the conference’s theme means that the work has higher priority for acceptance.

The scope of ICCSCI 2022 can be further detailed in several tracks. Each track has its own specialization over the conference’s scope. The tracks are as follows:

1. Machine & Computer Vision (MCV)

This track focuses to automate inspection, recognition, identification and analysis in image and video processing. Machine (computer) vision is a technical capability that is integrated with existing technologies in new ways and applies it with the aim to solve real-world problems. The track accept works on these topics (but not limited to):

  • Model and algorithm of information extraction from image data.
  • Acquiring, identifying, classifying digital images.
  • Simulation of human visual system.
  • Context extraction and understanding in image data.


2. Software Engineering, Information Security, and Network (SEIN)

This track focuses on the application and theory of software engineering process, and the application, analysis, and experiment on computer network, information and network security. The track accept works on these topics (but not limited to):

  • Applications security
  • Communications protocols
  • Compilers and Interpreters
  • Computer architectures
  • Computer security
  • Cyber security
  • Data communications
  • Data compression
  • Hardware security
  • Mobile computing and applications
  • Network architectures
  • Network security
  • Web applications
  • Wireless communications


3. Big Data and Information Technology (BDIT)

This track focuses on Big Data applications and theory, and on the general application of information technology. This track accept works on these topics (but not limited to):

  • Database system
  • Data crawling
  • Data mining
  • Data processing
  • Data capture and storage
  • Decision Support System
  • Distributed database
  • Distributed system
  • Big Data technology and processing
  • Geographic Information System
  • Smart City technology
  • Blockchain applications and models


4. Internet of Things and Robotics (IOTR)

This track focuses the application, development, and experiment of Internet of Things Technology, Cloud Computing, Fog Computing. This track also focuses on the application and theory of robotics, which includes navigation, locomotion, and sensing aspect of robotics. This track accept works on these topics (but not limited to):

  • Autonomous vehicles
  • Application of automations
  • Cloud computing technology
  • Embedded devices
  • Fog computing
  • Internet of Things applications
  • Robotics Intelligence
  • Robotics locomotion and navigation
  • Social robot
  • Swarm robot


5. Multimedia, Game Development, and Mixed Reality (MGDM)

This track focuses on the computational aspects of multimedia applications, digital games, and mixed reality (VR/AR) technology. The computational aspect includes computer graphics algorithm and hardware development or application. This track accept works on these topics (but not limited to):

  • Augmented reality and its applications
  • Artificial intelligence in digital games
  • Computer graphics
  • Computer animation technology
  • Human-Computer Interaction
  • Mixed reality and its applications
  • Motion sensors
  • Multimedia tools and applications
  • Simulators
  • Serious games development
  • User Interface and User Experience (UI/UX)
  • Virtual reality and its applications


6. Computational Linguistic and Audio Processing (CLAP)

This track focuses on the development of algorithms and models for text mining, information retrieval, machine translation from text data or audio data. This track accept works on these topics (but not limited to):

  • Algorithm and model for information extraction from text or audio data
  • Text minning and text processing
  • Text crawling
  • Information retrieval from text data
  • Information retrieval from audio data
  • Natural language processing
  • Optical character recognition
  • Speech recognition
  • Artificial intelligence to generate text or audio data
  • Sentiment analysis model and application.


7. Computing and Theoretical Computer Science (CTC)

This track focuses on any mathematical or statistical theory and model that can be used as a foundation for improvement in computer science. The track emphasis on the usage for computer science, not the usage of computer science in mathematics or statistics. This track accept works on these topics (but not limited to):

  • Computational (Linear) Algebra
  • Graph Computing and Its Applications
  • Mathematical Model Computing
  • Operations Research and Optimization
  • Computational Regression Analysis
  • Spatial Analysis Computing
  • Statistical Computing and Its Applications
  • Numerical Method Computing
  • Simulation and Stochastic Computing Process
  • Computational Fluid Dynamics
  • Computational Geometry
  • Bayesian Computing Approach