Institution: National Institute of Advanced Industrial Science and Technology (AIST)
Email: ks.kim@aist.go.jp
Title: Toward GeoAI Data Platform for Personalized Spatial Data Infrastructures
Abstract:
Recent significant impact of AI is leveraging not the improvement of only machine learning algorithms such as deep learning and reinforcement learning, but also the combination of the Internet of Things (IoT), big data, cloud computing, open-source software, GPU acceleration, and robotics, as well as algorithms. These technologies cooperatively contribute toward realizing high- level human-like perception, cognition, and action by permeating AI into everyday lives. In the geospatial industry, the next-generation of GIS software is expected to be deeply tied with AI technology to make machines/devices cognize the real world and decide on their plan of action by themselves. In this talk, I introduce ABCI (AI Bridging Cloud Infrastructure) and our project of GeoAI Data Platform for the on-demand generation of personalized a spatial data infrastructure corresponding to the application requirements. In particular, I would like to discuss the challenges of integrating heterogeneous point clouds acquired with LiDAR sensors and creating three-dimensional city models with AI technologies.
Bio
Dr. Kyoung-Sook Kim is the team leader of Data Platform Research Team at the Artificial Intelligence Research Center (AIRC) of AIST in Japan. I served as a researcher of National Institute of Information and Communications Technology (NICT) in Japan from Nov. 2007 to Mar. 2014. I received my B.S., M.S., and Ph.D. Degrees in Computer Science from Pusan National University in Korea in 1998, 2001, and 2007, respectively. She currently serves a co-chair of Moving Features SWG of the Open Geospatial Consortium (OGC). Her research interests are in Geo-enabled Computing Framework based on GIS, Location-based Services, Spatiotemporal databases, Big data analysis, Cyber-Physical Cloud Computing, etc.
