The ICMISI 2024 Conference is established to facilitate the state-of-the-art research, innovation, and development activities at the frontiers of Artificial Intelligence, Machine intelligence and Smart Technology.

 

The ICMISI 2024 Conference is established to facilitate the state-of-the-art research, innovation, and development activities at the frontiers of Artificial Intelligence, Machine intelligence and Smart Technology. It serves as the best platform allowing scholars, technological researchers, and industry to exchange experiences, and demonstrate their studies and further advance AI technologies on various domains.
This conference brings together experts to broaden their knowledge in emerging areas of research at the field of Artificial Intelligence, machine intelligence and smart innovation. The program for ICMISI 2024 is multidisciplinary, with topics relative (but not limited) to the following Conference Tracks:

Track 1: Artificial Intelligence and Machine Learning 

  • Machine Learning
  • Deep Learning and Applications
  • Natural language processing
  • Decision support systems
  • Pattern Recognition
  • Knowledge discovery
  • Knowledge acquisition
  • Intelligent information systems
  • Intelligent web-based business
  • AI and evolutionary algorithms
  • Neural networks and applications
  • Robotics
  • Reinforcement learning
  • Generative Models
  • Distributed AI algorithms and techniques
  • Constraint-based reasoning and constraint programming
  • Computer Vision and Image Processing
  • Document Analysis
  • Radar Signal Processing
  • Audio/Speech Processing and Coding
  • Biometrics and Pattern Recognition
  • Content-based Image retrieval
  • Remote Sensing
  • Point Cloud Data Processing
  • Face and Gesture Recognition
  • Motion and Tracking Stereo and Structure from Motion
  • Object Detection, Recognition and Categorization
  • Image Restoration
  • Statistic Learning and Pattern Recognition
  • Speech, Audio and Music Processing

 Track 2: Big Data and IoT 

  • Distributed Computing
  • Cloud Computing
  • Big Data Analysis
  • Parallel and Distributed Computing
  • Big Data Models and Algorithms
  • Big Data Architectures and Management
  • Big Data in Smart Cities
  • Big Data Technologies, Services and Applications
  • 3D printing
  • Architecture for secure and interactive IOT
  • Future of IOT and Big Data
  • Internet of Things
  • Smart City Examples and Case Studies
  • Technological focus for Smart Environments
  • Vehicle-to-Vehicle
  • Vehicle-to-Infrastructure

Track 3: Medical and Biomedical Applications with Computational Intelligence 

  • Medical Image Processing
  • Image and Video Retrieval
  • Computational Intelligence  in Biology
  • Bioinformatic
  • Cognitive and Biologically-Inspired Vision
  • Human- Brain Interaction

Track 4:  Industry 4.0 Applications 

  •  AI for Industry 4.0
  • Industry 4.0 Factory
  • Big Data Applications
  • IoT for Industry 4.0
  • Internet of Services
  • Smart Manufacturing
  • Smart Devices and Products
  • Smart Logistics
  • Smart City
  • Predictive Analytics
  • Cyber-physical Systems
  • Robotic and Automation
  • Support System for Industry 4.0
  • Mobile Computing
  • Cloud Computing for Industry 4.0
  • Embedded System Design
  • modeling, simulation & visualization
  • Industrial automation
  • Integrated systems

 Track 5: Networking and Security 

  • Advanced Networks
  • Cloud Computing
  • Cross-layer Optimization and Control
  • Cyber-physical Systems
  • Data Center Networking
  • Game Theory in Networks
  • Localization and Location-based Services
  • Smart Communications Systems
  • Vehicular Networks
  • Wireless Sensor Networks
  • Network security and Privacy
  • Automated security analysis
  • Cloud security
  • Security Challenges in 5G Networks
  • AI for Networks Applications
  • AI aided Security Analysis
  • Machine learning and cyber security

Track 6: - Energy, Green Technology and Sustainable Development 

  •   Renewable energy
  •   Energy and Climate Change 
  •   Energy Conservation
  •   Computational Intelligence in Energy

Track 7: Artificial Intelligence In Circuits and Systems

  • Circuits and systems for artificial intelligence. 
  • Hardware-based deep learning and machine learning.
  • Smart Embedded Systems
  • Tools/Platforms for artificial intelligence
  • Advanced neural network design
  • Neuromorphic processors
  • High Performance Computing Systems
  • Design automation for artificial intelligence systems
  • Autonomous vehicle applications of artificial intelligence

 

A special session will be organized for "Quantum Computing" in cooperation with Alexandria Quantum Computing Group-Aleqcg.