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About AIS
The International Conference on Autonomous and Intelligent
Systems (AIS) aims at providing
a platform for researchers, engineers, academics and industrial
professionals to present their recent research work and to explore
future trends in various areas of autonomous and intelligent systems.
The conference addresses recent advances in theory, methodologies
and applications in the field.
The scientific program includes keynote and invited speakers and
fully refereed contributions that is typically published as a special volume
in Springer Lecture Notes in Artificial Intelligence (LNAI) series. It is also indexed in
major indexing sites. Selected
articles are published in the International Journal of Robotics and
Automation and The International Journal on Control and Intelligent
Systems, among other journals. AIS is technically co-sponsored
by the IEEE.
Topics and Tracks
AIS is usually organized into four tracks, with the list of technical
areas in each track given below. Authors should choose a primary and an
alternative area when submitting their papers. Other research areas that fall
within the four tracks are also welcome.
Track 1: Autonomous and Intelligent Systems
- Autonomous and intelligent robotics
- Computational intelligence
- Cooperative intelligent systems
- Distributed artificial intelligence
- Intelligent control and fuzzy systems
- Multi-agent systems
- Smart sensing and perception
- Swarm intelligence and evolutionary computation
- Applications: Intelligent transportation systems, assistive technologies, smart environments, embedded systems, rescue, surveillance and reconnaissance, robotics, industrial automation.
Track 2: Signals and Intelligent Communication Systems
- Intelligent radio systems for wireless and satellite communications
- Cognitive networks
- Wireless sensor networks
- RF tracking and positioning
- RFID and ISM band systems
- Image/video processing and coding
- Speech processing and coding
- Nonlinear circuits and systems
- Wavelets and multi-rate signal processing
- Applications: Navigations systems, natural speech recognition, wireless sensor networks, security and surveillance systems, fraud detection and prediction, intelligent satellite systems.
Track 3: Haptics and Human Machine Interaction
- Biomechatronics and biomedical robotics
- Hapto-surgical/medical systems
- Haptic sensors and renderers
- Hapto-audio-visual systems
- Human-computer interaction
- Human factors and ergonomics in human-machine interactions
- Interaction and collaboration between robots, humans and environments
- Neuro-robotics
- Tele-haptics and tele-operations
- Applications: e-health applications, rehabilitation, haptic gaming, entertainment, social robotics, e-learning.
Track 4: Intelligent Data Analysis
- Data Mining and Knowledge Discovery
- Data and Decision Fusion
- Data visualization
- Data Analysis
- Intelligent Knowledge Management
- Machine Learning
- Natural Language Understanding
- Applications: e-Learning, customer profiling, collected-marketing, health, database mining, communications, homeland security, surveillance, fraud detection and prediction, search engines, web services, user modeling.
Co-Sponsorship

Pattern Analysis and Machine Intelligence Lab
University of Waterloo
Canada
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Faculty of Engineering
University of Porto
Portugal
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The Department of Electrical and Computer Engineering, University of Waterloo, Canada
Association for Image and Machine Intelligence
Decision Support Systems for Command & Control - DRDC Valcartier
Computational Intelligence Society Chapter, IEEE Kitchener Waterloo Section
Systems, Man, & Cybernetics (SMC) Chapter, IEEE Kitchener Waterloo Section
Control Systems Chapter, IEEE Kitchener Waterloo Section
Signal Processing Chapter, IEEE Kitchener Waterloo Section
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