Welcome to AISLab
AISLab - Artificial Intelligence & Intelligent Systems Laboratory
Contact information for supervisor: Assoc.Prof. Dr. Van-Dung Hoang
Summary: Intelligent systems are a science field that deals with intelligent behavior, learning, and adaptation in machines for constructing system based on artificial intelligent. This aim conducts functions of sensing, actuation, and control in order to describe and analyze a situation, and make decisions based on the available data in a predictive or adaptive manner, thereby performing intelligent actions. The systems include control, planning and scheduling, the ability to answer diagnostic and consumer questions, handwriting, speech, and facial recognition. It has become an engineering discipline, focused on providing solutions to real life problems, software applications, traditional strategy games like computer chess and other video games.
Some fields of intelligent systems of our group:
1. Industrial robot or an autonomous vehicle.
2. Surveillance systems
3. Industrial inspection
4. Medical image analysis
5. Computer-human interaction.
Computer vision is concerned with the theory and technology for building artificial systems that obtain information from images or multi-dimensional data. Information, as defined by Shannon, is that which enables a decision. Since perception can be seen as the extraction of information from sensory signals, computer vision can be seen as the scientific investigation of artificial systems for perception from images or multi-dimensional data.
Research interests
- Medical image processing, pattern recognition, visual odometry, localization, laser ranger finder and vision-based robotics.
- Intelligent healthcare systems, human-machine interaction, intelligent security surveillance systems, autonomous vehicle.
- Machine learning: Deep neural network/Convolution neural network, transfomer learning, Large vision models (LVMs), SVM, Adaboost, Compact learning models, Hybrid of machine, Random forest, Conditional random field.