Spatial Trajectory Computing: Data Management, Analytics and Applications

Speaker:        Professor Xiaofang Zhou
                The University of Queensland
                Australia

Title:          "Spatial Trajectory Computing: Data Management, Analytics and 
                 Applications"

Date:           Monday, 7 September 2020

Time:           4:00 pm - 5:00 pm

Zoom Meeting:
https://hkust.zoom.us/j/94987739849?pwd=RitmRGZlUUFzQSszS0tpcmlNV1FCdz09

Meeting ID:     949-8773-9849
Passcode:       070920


Abstract:

Spatial trajectory analytics involves a wide range of research topics from 
data management, query processing, to knowledge discovery. It can find 
many applications in intelligent transport systems, location-based 
services, urban planning and smart city. New opportunities arise with 
massive and rapidly increasing volumes of high-quality spatiotemporal data 
from many sources such as GPS devices, mobile phones and social network 
applications, together with more powerful computing platforms and machine 
learning algorithms. Managing large-scale trajectory data and making sense 
from it become critically important for many enterprises. In this talk I 
will introduce this research field using some of my research work and 
discuss new research problems and new approaches for spatial computing.


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Biography:

Professor Xiaofang Zhou is a Professor of Computer Science at The 
University of Queensland, leading the Data Science Research Group at UQ 
from 2006 - 2020. His research focus is to find effective and efficient 
solutions for managing, integrating and analyzing very large amount of 
complex data for business, scientific and personal applications. He has 
been working in the area of spatial and multimedia databases, data quality 
management, high-performance database systems, data mining, machine 
learning and recommendation systems. He is a Program Committee Chair for 
PVLDB 2020, SSTD 2017, CIKM 2016, ICDE 2013, and a General Chair of MDM 
2018 and ACM Multimedia 2015. He has been an Associate Editor of The VLDB 
Journal, IEEE Transactions on Knowledge and Data Engineering, IEEE 
Transactions on Cloud Computing, World Wide Web Journal, Distributed and 
Parallel Databases, and IEEE Data Engineering Bulletin. He has also served 
in the steering/advisory committees for VLDB, ICDE, DASFAA, WISE, 
APWeb-WAIM and Australasian Database conferences. He was the Chair of IEEE 
Technical Committee on Data Engineering (2015-2018). He is a Fellow of 
IEEE.