BUSINESS INFORMATION SYSTEMS CLUSTER
The Games Cluster conducts research in information and communication technologies, design, psychology, and human-computer interaction related to games and gamification. The cluster’s research areas include gamification (the use of game design principles in systems that primarily support non-game tasks), development of new methods and tools for improving player testing and user research in games and entertainment systems, gamification for human health, wellbeing, and fitness, and social relationship-building gamification to build relationships and foster social interaction in groups.
IoT cluster conducts research in the application of IoT solutions to solve sustainable development problems related to the improvement of quality of life, transportation problems, energy, farming, agriculture, and safety. The group studies the application of machine learning to make IoT applications far more efficient and resilient. In addition, the group works in mobile computing, cloud computing, inter-networking, and robotic systems and has direct application to the many challenges faced in real-world IoT deployments.
The Data Cluster conducts the research to manage large amounts of traditional and non-traditional data, including temporal, spatial, spatio-temporal, dimensional, multimedia, and semi-structured data. The cluster's research objective is to develop techniques that meet primarily data management needs posed by data-intensive applications.
Computational Intelligence and Machine Learning Cluster at WIUT, Uzbekistan focuses on nature-inspired computational methods with machine learning approaches, including reinforcement learning. Both fundamental and applied research is being conducted in this cluster. Our research addresses fundamental issues about how to design, use, and understand intelligent systems made up by autonomous machines. Application areas include (but are not limited to) robotics and the health-care domain. In particular, we work in evolutionary computing, machine learning and complex systems for optimization, modeling, robotics and sensory data processing.