Research in this area focuses on the development of computational approaches for acquiring and analyzing heterogenous food data from disparate sources to solve the challenges related to different food-related tasks, from perception, recognition, retrieval, recommendation to prediction and monitoring: Food Computing Research Group

Research in this area focuses on the development of computational approaches to solve the challenges related to its related tasks, such as urban scene perception, instance-level location retrieval and recognition, location recommendation, location summary, mining and visualization to support various location-relevant applications and service.