Her main areas of interest are neural networks, evolutionary computation, intelligent multi-agent systems, and application of computational intelligence techniques to engineering optimization, planning and control problems. Her research has focused on the development of hybrid neural network architectures, learning methods and their practical applications for large complex engineered systems, such as the electric power system and urban transportation systems. These systems are examined in various projects by applying multidisciplinary methods that are able to cope with the problems of imprecision, learning, uncertainty and optimization, when concrete models are constructed.