17th International Conference on Computer and Automation Engineering (ICCAE 2025)

Topics

• Human-Machine Systems
  Human Computer Interaction, Man-Machine Systems, Command and Control Systems, Human Factors in system Design and Virtual Reality
• Modern and Advanced Control Strategies
  Fuzzy Logic Control, Neural Networks Control, Model-Predictive Control, Genetic Algorithms & Evolutionary Control, Intelligent Control Systems, Adaptive and Optimal Control, Fault Diagnosis, Robotics and Automation, Industrial Automations and Intelligent agents
• Hybrid Systems
  Fuzzy Expert Systems, Fuzzy Evolutionary Systems, Neural Genetic Systems, Fuzzy Neural Systems, Hybrid Systems for Optimization and Neural-Fuzzy-Genetic Systems
• Multimedia and Communication Systems
  High Speed Communication, Multimedia and New Media, Computational Intelligence and Telecommunications and Hyper Network Communication
• Decision Making and Information Retrieval
  Decision Analysis, Case-Based Reasoning, Dynamic Systems Modeling, Intelligent Databases & Information Retrieval, Multi-criteria Decision Making, Decision Support Systems, Behavioral Decision Making, Qualitative and Approximate-Reasoning Modeling, Information and Decision Systems, Distributed Decision Making and Risk Management
• Robotics and Automation
  Human-robot Systems, Robot Dynamics and Control, Autonomous Robots, Intelligent Robots and Home Robots
• Control System Applications
  Transportation Systems, Manufacturing Systems, Medical Decision Making, Medical and Health Care Systems, Socio-economical Systems, Rehabilitation Systems, Energy Systems, Service and Public Sector Systems, Technological Forecasting, Environmental Systems, Communication Networks and Protocol, Financial Engineering and Military Systems
• Data Analysis, Prediction and Model Identification
  Prediction and Time Series Analysis, Signal Processing, Data Fusion and Mining, System Identification, Intelligent Information Systems, Knowledge Discovery, Image Understanding, Image Processing, Pattern Recognition, Parallel Computing applications in Identification &Control, Classification and Clustering

Who should Attend

Engineers, researchers, industrial professionals and academicians from all over the world.