School of Engineering

Staff Profile

Dr Jin Xing

Lecturer

Background

Dr. Xing joined the school of Engineering, Newcastle University, as the lecturer in geospatial analysis in 2018. He has obtained PhD in Geographic Information Science from McGill University’s Department of Geography, in 2017. His PhD research in urban land use change has been recognized by the Rathlyn GIS Award. Before joining Newcastle University, he conducted smart city research at Laval University, Canada, with the support of MITACS fellowship. His research has been published in top Geographic Information Science/ Remote Sensing journals, and presented at various conferences.


Dr. Xing actively employs his research to solve real-world problems. In the ESRI APP challenge 2015, he led his team to a second place finish by developing an online data fusion platform to integrate multiple urban facilities, services, and demographic datasets. To alleviate urban air pollution and traffic jams, he also developed a remote sensing-based parking space finding APP that made it to the semi-final in McGill University’s Dobson Cup (start-up) competition in 2017.



Programme Committee

GISRUK 2019

AAG 2019: Symposium on Frontiers in Geospatial Data Science: Geospatial Artificial Intelligence: Machine Learning and Deep Learning

Research

Call for Papers


Special Issue of Remote Sensing: Deep Learning Approaches for Urban Sensing Data Analytics (Closing Date December 31st, 2019)


Dr. Xing’s research shifts cities smarter. His current research focuses on geospatial deep learning algorithms and geospatial cyber-infrastructure for urban data analytics. He investigates deep learning algorithms to achieve better decision-making for smart cities. Convolutional neural network and recurrent neural network have been combined to explore various sensing datasets.  In geospatial cyber-infrastructure research, he continuously explores high performance computing techniques such as cloud computing and real-time computing frameworks.


Research Interests:

  • Smart Cities
  • Machine Learning 
  • Big Data
  • CyberGIS
  • Land Use/Cover Change Detection
  • Remote Sensing 
  • Volunteered Geographic Information
  • Spatio-Temporal Modelling
  • Urban Science
  • Climate Change


Previous projects:

Team member of Quebec City, Smart Cities Challenge, Canada.

Research Assistant, Geothink Canada.

Research Assistant, Data Rescue: Archives and Weather, McGill University, Canada.

Teaching


Instructor, CEG2704, Geospatial Information Systems


Module Leader, CEG3716, Geospatial Informatics


Instructor, CEG3305, Computational Engineering Analysis


Publications