ICIS 2023
Call for Papers

Call for Papers

You are invited to submit your papers to the conference. After peer review process, accepted papers will be published in the ICIS-2023 Conference Proceedings and presented papers will be submitted to Publication house after each paper is thoroughly reviewed and (if any) satisfactorily modified according to the reviewer comments. ICIS-2023 solicits original, high impact research papers on all topics related to the development and adoption of the intelligent system. Contributors are invited in the following tracks:

TRACK 1: Intelligent Data Analytics and Technologies
  • Data visualization and Data pre-processing
  • Data Engineering and database mining techniques
  • Tools and applications
  • Domain knowledge in data analysis
  • Evolutionary algorithms
  • Statistical pattern recognition
  • Algorithm and simulation
  • Parallel and distributed data analysis
  • Big data analysis
  • Multimedia analysis
  • Complex data analysis
  • Web information analysis
  • Economic data analysis
  • Biomedical data analysis and Medical informatics
TRACK 2: Intelligent Computing
  • Intelligent Human-Machine Interaction
  • Intelligent Hybrid Systems
  • Intelligent Behaviour and Intelligent Control
  • Intelligent Decision Making Systems
  • Intelligent Information Processing
  • Intelligent Measurement
  • Intelligent Pattern Recognition
  • Internet of Things
  • Intuitionist Fuzzy Sets
  • Quantum Computing
  • Mobile Computing
  • Cellular automata /cellular computing
  • Biologically-inspired computing
  • Collective intelligence in computing
TRACK 3: Intelligent Communication
  • Intelligent wireless sensor networks
  • Intelligent satellite communications
  • Intelligent radar signal processing
  • Machine learning algorithm & cognitive radio networks
  • Machine learning and information processing in WSN
  • Decentralized learning for wireless communication systems
  • Intelligent communication
  • Communication network structure
  • Machine to machine communication networks
  • Network applications and services
  • Intelligent Wireless ad hoc and sensor networks
  • Signal processing for communications
  • Network management and traffic engineering
  • Sensor network security and solutions
  • Embedded networks and sensor network optimizations
TRACK 4: Intelligent Security Mechanism and Policies
  • Intelligent Data security and Data privacy
  • Intelligent Communication protocol security
  • Security in new paradigms of intelligent data
  • Cyber hacking, next generation fire wall of intelligent data
  • Data sharing and information visualization for security informatics
  • Digital forensics in intelligent data
  • Intelligent Big data security, Database security
  • Web-based intelligence monitoring and analysis
  • Intelligent database and security
  • Intelligent data mining in security, optimization, and cloud computing
  • Cyber threat intelligence and implementations
  • Spatial-temporal data analysis for crime analysis and security informatics
  • Cloud-based intelligent data and security issues
  • Tele-health security in intelligent data
  • Cloud computing and networking models
  • Heterogeneous architecture for cloud-based intelligent data
  • Dynamic resource sharing algorithm for cloud-based intelligent data
  • Load balance for cloud-based intelligent data
  • Intelligent IoT-based Device security
TRACK 5: Robotics and Embedded Systems Technologies
  • Intelligent Process and Industrial automation
  • Intelligent automation
  • Intelligent Automation in energy systems
  • Smart Planning, scheduling and coordination
  • Intelligent Instrumentation systems and applications
  • Intelligent Modelling and identification
  • Micro robots and micro-manipulation
  • Intelligent Search, rescue and field robotics
  • Intelligent Robot sensing and data fusion
  • Localization, navigation and mapping
  • Medical robots and bio-robotics
  • Hardware/software co-design
  • Reconfigurable hardware design
  • Embedded software, Real-time operating systems
  • Middleware and virtualization
  • Hybrid systems-on-chip, and Programmable devices
  • Embedded system reliability
  • Embedded applications
TRACK 6: Real-Time Computing and Algorithms
  • Real-time and embedded operating systems
  • Middleware and runtime systems for real-time and embedded systems
  • CPS and IoT infrastructure
  • Hardware architectures for real-time/embedded systems
  • Intelligent system-level optimization and co-design techniques
  • Verification and validation methodologies
  • Intelligent Real-Time Scheduling
  • Intelligent workload models for real-time systems
  • Temperature/Energy-aware Scheduling
  • Scheduling over heterogeneous architectures
  • Programming Languages and Run-Time Systems
  • Communication Networks and Protocols of Real-Time Systems
  • Time-Sensitive Media Processing and Transmissions
  • Latency and throughput in Real-Time Databases