Research themes
Data Mining & Deep Learning
We concentrate on building knowledge reduction models for data classification as well as discovering strong associations among data by various algorithms for searching frequent patterns. (image, video, web, text, temporal, spatiotemporal)
Autonomous System & Software Agent
We address seamless interoperability between heterogeneous systems and applications such as the Internet of Things (IoT) for intelligent environments, prediction models for reasoning and recognition in smart home environments as well as classification of trajectory generation and control of miniature quadrotors used for aerial vehicles.
Optimization & Evolutionary
We tend to find a better algorithm for solving various combinatorial problems is our main concern. We focus on improving meta-heuristic techniques for solving university timetabling and agricultural problems involving optimization in planting areas and crop systems.
Computational Linguistics & Semantic
We believe that this area is going to play a key role in advanced computing. We deal with the semantic knowledge representation of texts and focus on transforming the learned rules into a model reusable by computer programs. This will enable automation and seamless interoperation between systems in which human intervention is kept at a minimum.
Bioinformatics & System Biology
Bioinformatics focuses on genome annotation, which is marking the genes and other biological features on a DNA sequence. System biology emphasizes on the study of a whole organisms. We are interested to formulate a novel framework of biology as a system.