University of Cambridge > > Computer Laboratory Systems Research Group Seminar > Understanding Urban Events with CrowdSourced Data

Understanding Urban Events with CrowdSourced Data

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With the increased attention on developing technologies for smarter cities, we are beginning to see increased use of data from a diverse set of multi-modal sensors that are being deployed in various components of the urban infrastructure. Examples include cameras mounted along roads and highways (that help monitor real-time traffic congestion levels), and buses equipped with location sensors and contactless payment modes (that help monitor bus movement and occupancy levels). On the other hand, users of social media platforms such as Twitter and Instagram serve as a set of distributed social sensors, voluntarily sharing multimedia content related to events that occur in their localities. These disparate sensory sources provide insights into human mobility that we can leverage for detecting and understanding events and anomalies.

The first half of the talk will introduce work on detecting different types of indoor events based on indoor mobility and demonstrates how features that capture long term and spontaneous social relationship help improve the detection accuracy of low intensity events. The second half of the talk will focus on how user-contributed multimedia content (via social media) can help localize “micro-events” that constitute a large event, furthering the understanding of the evolution of the event. The talk will conclude with key insights from ongoing work in leveraging multimodal sensors for modelling the spatiotemporal impact of city-scale events.

Bio: Kasthuri Jayarajah is a PhD student in the School of Information Systems, Singapore Management University, working in the areas of ubiquitous computing and mobile systems. She is currently a Visiting Researcher at the Computer Laboratory of the University of Cambridge. Previously, she has interned at the Carnegie Mellon University and the US Air Force Research Laboratory in Ohio. She received her Master in Computing degree from the National University of Singapore, in 2013, and Bachelor of Engineering degree from the University of Moratuwa, Sri Lanka, in 2010. Prior to joining the PhD programme, she was a Research Engineer at the Living Analytics Research Center at SMU . Her current research focuses on understanding human behavior through the fusion of physical and social analytics.

This talk is part of the Computer Laboratory Systems Research Group Seminar series.

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