Huayu Wu, PhD (Agency for Science, Technology and Research (A*STAR), Singapore) will give a guest lecture titled "Managing and Analyzing Transportation Data" on Friday, October 10 at 12:15 in Exactum CK111. Welcome!
Abstract
More and more public (e.g., subway and bus) and private (e.g., taxi) transport data are being released to research institutions for urban analytics. By studying those transportation data, public and private sectors can gain insights of the efficiency of the existing transportation systems and the change of crowd movement pattern for urban planning. Further, based on such insights, new services and applications can be designed to serve both the practitioners and the customers better. However, to handle the large-scale transportation data we need to tackle a couple of challenges in data management, including how to scale up data storage and processing, how to manage real-time transport data stream, how to integrate trajectory data from different sources, and also how to deal with privacy issues. In this talk, I would present our recent research results in transportation data management and analysis. There are two parts in my talk. In the first part, I would like to highlight our works in managing transport data. I will introduce our data platform for data storage, sharing and visualization. I will also present our research works in query processing, data linking and privacy protection. In the second part of my talk, I will focus on data mining, and show how we can benefit other stakeholders by analyzing public transport data.
Bio
Dr. Wu Huayu is a research scientist in the Institute for Infocomm Research (I2R) under the Agency for Science, Technology and Research (A*STAR) in Singapore. He obtained his PhD degree in computer science from National University of Singapore in 2011. His research interests focus on database and data mining. He has published 30 research papers in international computer science journals and conferences. He also served as Program Committee member for international conferences, including VLDB, EDBT, ER, DASFAA, etc.