The research group for wireless networks-based intelligent applications (winiapp) has mainly focused on enabling contextual smart decision-making tools. In this regard, Winiapp research interests are divided in two areas: emerging wireless access networks and data-driven smart applications.

Winiapp main research area draws upon mathematical tools, such as optimization techniques, queuing theory, graph theory, game theory, statistics, machine learning, and deep reinforcement learning, to design new algorithms and architectures for secure, reliable, agile, and self-sustaining wireless networks. Specifically,  Winiapp is currently focused on the emerging next-generation wireless network called 6G and its enabling technologies such as smart environments, edge AI for wireless networks, UAV-assisted wireless networks, and digital twins & metaverse-based systems.

Another Winiapp main research area is to develop artificial intelligent-empowered and scenario-based smart applications.  In this regard, Winiapp mainly focuses on novel data mining and machine learning tools to analytically process contextual gathered datasets. More specifically, Wniapp researchers are currently focusing on designing and implementing IoT-based applications, from wireless access networks to AI data processing tools, for smart nomadic villages or small new towns.