The massive under-exploitation of inland waterways in Europe north sea region, especially in and around urban environments, provides opportunities for technological innovations. In this talk, Yusong will introduce the on-going INTERREG North Sea Region project AVATAR and the relevant research and development at the Researchlab Autonomous Shipping of Delft University… read more 

Social media has become an essential channel for posting disaster-related information, which provides governments and relief agencies real-time data for better disaster management. However, research in this field has not received sufficient attention, and extracting useful information is still challenging. The work will be presented aims to improve disaster relief… read more 

Smart surveillance or smart home cameras, such as Amazon Echo and Nest Cam, are now found in millions of locations to remotely link users to their homes or offices, providing monitoring services to enhance security and/or notify environment changes, as well as lifelogging and intelligent services. Such a prevalence of… read more 

Flash floods are one of the most common natural disasters worldwide, causing thousands of casualties every year. A combination of fixed and mobile sensors can be used to track these events. In particular, the emergence of Unmanned Aerial Vehicles (UAVs) could enable the monitoring of floods over large geographical areas.… read more 

AI technologies have transformed optimization and automation in complex decision-making settings, and have created a new paradigm for the role of AI in smart cities. These technologies are increasingly utilized in critical social, urban, and mobility systems to perform or inform resource allocation and urban planning tasks. Therefore, it is… read more 

Smart cities around the world are collecting and using data to make decisions in real or near real-time to better serve citizens, protect our environment, and lower costs. Most smart city solutions rely on a combination of core technologies (compute, storage, databases, and data warehouses) and advanced technologies (big data… read more 

We leverage unique features from the two latest releases of the National Household Travel Survey (NHTS) data and a machine learning approach to predict household-level online shopping purchases in the US. The modeling and investigation are performed at the national level and for three of the largest cities (New York,… read more