About
Intelligent Systems seeks to undertake research in the theory, design, implementation, and application of intelligent computing to solve a range of problems in a given domain. This includes establishing new techniques that can intelligently transform massive data into useful information and knowledge. The most important aspect in intelligent systems is the selection of AI and machine learning methods such as neural networks, genetic algorithms, evolutionary computing, deep learning and fuzzy logic, which provide the system with cognitive abilities. Research in Intelligent Systems covers the following sub areas: data mining, intelligent agents, evolutionary computation and optimization, computational linguistics, bioinformatics, semantics, text mining, natural language processing, image recognition and embedded systems.
The Group Mission
This research group works towards establishing new techniques that can intelligently transform massive data into useful information and knowledge. The main research areas that we focusing on are data mining & deep learning, embedded systems & robotics, autonomous system & software agent, computational linguistics & semantic web, optimization & evolutionary computing, bioinformatics & system biology
Applications and Involvements
We have built solutions for real world problems such as agriculture, medical & pharmaceutical, native language, education and learning, biotechnology, economy, information security, and many more…