The Research Commons will host a presentation by Behrooz Omidvar-Tehrani, a postdoctoral researcher at Ohio State, entitled “Interactive Analysis of Spatiotemporal Data.”
Abstract: There has been a meteoric rise in the use of spatiotemporal data in a variety of fields of science such as agriculture, geosciences, and transportation. Applications include smart city management, climate modeling, disaster management, and autonomous transport. While there exists multiple decades of research in spatiotemporal data management, enabling highly interactive data exploration and analysis over large-scale spatiotemporal data remains challenging. In this talk, we introduce SpaceTime, an interactive spatiotemporal framework which is built on top of different research projects and software suites. We illustrate different scenarios on real-world applications where SpaceTime makes a difference in insight discovery and decision making.
Speaker Bio: Behrooz Omidvar-Tehrani is a postdoctoral researcher at The Ohio State University. His research is in the area of data management, focusing on interactive analysis systems for spatiotemporal and social data. Behrooz received his PhD in Computer Science from University of Grenoble Alpes, France. He has published in several international conferences and journals including CIKM, KAIS, VLDB and EDBT. He was also a PC member in several venues including TKDE, DAMI, CIKM, ICDM and SDM.
Team Bio: SpaceTime is one of the on-going projects in Arnab Nandi’s research group, which aims to empower humans to effectively interact with data. The group focuses on bridging the gap between end-users and database systems, allowing users to better understand, create, and play with data. This involves solving problems that span the areas of databases, visualization, human-computer interaction, and information retrieval. More about the group’s research.
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