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ICCAIS2013 - Nha Trang Beach, VIETNAM

Invitation to ICCAIS 2013

Following the success of ICCAIS 2012, the Institute of Applied Mechanics and InformaticsVietnam Academy of Science and Technology is proud to host the Second International Conference on Control, Automation and Information Sciences (ICCAIS 2013) from November 25-28, 2013, co-organized by University of Information TechnologyVietnam National University at Ho Chi Minh City. ICCAIS 2013, technically co-sponsored by the IEEE Vietnam Section, will be held at the beautiful beach front city of Nha Trang ( the most popular tourist destination in Vietnam), Vietnam. This conference provides a forum for regional and international researchers, engineers and practitioners to get together, discuss and present relevant achievements, challenges, innovation as well as future direction in control, automation and information sciences research and practice.

Important Dates

25-28 Nov 2013   

Main Conference Date


15 May 2013    

31 May 2013   

15-20 July 2013    

15 August 2013    

30 June 2013    


Organized session proposal

Regular papers submission deadline

Notification of paper acceptance

Final camera-ready papers

Workshop and Tutorial proposals

Conference's Themes

Topics of the conference include but are not limited to:
  • Linear / Nonlinear Control
  • Nonlinear Systems
  • Process Control and Monitoring
  • Adaptive / Robust Control
  • Model Predictive Control
  • Intelligent Control
  • Precision Motion Control
  • Networked Control Systems
  • System Identification and Parameter Estimation
  • Modeling and Simulation
  • Nonlinear filtering and smoothing
  • Mobile Robot Navigation, Guidance and Control
  • Field Robotics
  • Unmanned Vehicle Systems
  • Bio-robotics and Medical Robotics
  • Humanoid Robotics
  • Man-Machine Interaction
  • Intelligent Building
  • Finite Set Statistics
  • Probability Hypothesis Density Filtering
  • Target Tracking
  • Multi-sensor Multi-target Tracking
  • Data Fusion
  • Sensor/Resource Management
  • Bio-medical Signal Processing
  • Image processing
  • Machine learning
  • Data Mining
  • Natural Language Processing

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