3-people

People

Academic Staff
song jun

Dr. Song Jun (宋俊博士)

Research Assistant Professor
Member of the Smart Society Lab

Transport and Environment

Office:
AAB 1228
Tel:
(852) 3411 7189
Fax:
(852) 3411 5990

 

Education

 

2017-2021, Ph.D., Imperial College London, UK

2010-2016, M.Sc. and B.Sc., Southwest Jiaotong University, China


Teaching

 

  • Geographical Information Systems

Academic Services

 

  • Invited reviewer in Nature Climate Change, IEEE Internet of Things Journal, IEEE Transactions on Intelligent Transportation Systems, Journal of Modern Transportation, Science of the Total Environment, Journal of Sensors;
  • Invited author of London Journals Press

Research Interests

 

  • Activity-travel behaviour
  • Transport and time geography
  • Air pollution modelling
  • AI and Block-chain
  • Urban digital twins

 

Selected Publications

 

2022

Song, J., Stettler, M. E. (2022). J. A novel multi-pollutant space-time learning network for air pollution inference. Science of the Total Environment.  811, 152254; DOI: 10.1016/j.scitotenv.2021.152254

 

Song, J., Fan H.W., Gao M., etc. (2022). Toward High-Performance Map-Recovery of Air Pollution Using Machine Learning. ACS EST Engineering; DOI: 10.1021/acsestengg.2c00248

Chai, J., Song, J*., Fan H.W., etc. (2022), "ST-Bikes: Predicting Travel-Behaviors of Sharing-Bikes Exploiting Urban Big Data," IEEE Transactions on Intelligent Transportation Systems; DOI:10.1109/TITS.2022.3197778.

Chai, J., Song, J*., Zhang, L., etc. (2022), "Optimization of Land Use Regression Modelling of PM2.5 Spatial Variations in Different Seasons across China", Journal of Sensors, 3659254, 9; DOI: 10.1155/2022/3659254

Chai, J., Song, J*., Xu Y.W., etc. (2022), "Enhancing the Applicability of Satellite Remote Sensing for Estimation Using Machine Learning Models in China", Journal of Sensors, 7148682, 8; DOI: 10.1155/2022/7148682

 

2021

Song, J., Han, K., Stettler, M. (2021). Deep-MAPS: Machine Learning based Mobile Air Pollution Sensing. IEEE Internet of Things Journal. 8, 7649–7660; DOI: 10.1109/JIOT.2020.3041047