Qingqing Chen

Qingqing Chen.


Qingqing Chen is a Ph.D. student in the Department of Geography at the University at Buffalo.  Her research focuses on critically understanding urban space by leveraging big data, combined with data science and machine techniques.  She is interested in Urban Data Science, Geocomputation, Non-visual sensory measuring & monitoring, Health geography, Social media and Big data.  Prior to starting her Ph.D., she worked as a Research Associate in the Singapore University of Technology and Design and as a Research Engineer in the Singapore-MIT Alliance for Research and Technology Centre.


BS:  Physics, 2014, Minjiang University, China

MS:  Physics, 2015, National University of Singapore, Singapore

Research Intersts:

Urban Data Science, Geocomputation, Non-visual sensory measuring & monitoring, Social media & big data


Chen. Q.-Q., Crooks, A., 2021.  Delineating a '15-Minute City':  An Agent-based Modeling Approach to Estimate the Size of Local Communities.  In GeoSim'21:  4th ADM SIGSPATIAL International Workshop on GeoSpatial Simulation, November 2, 2021, Beijing, China.  ACM, New York, NY, USA 9 https://doi.org/10.1145/3486184.3491080

Chen. Q.-Q., Chuang, I.-T., Poorthuis, A., 2021.  Entangled footprints:  Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore.  Computer, Environment and Urban Systems 90, 101708.  https://doi.org/10.1016/j.compenvurbsys.2021.101708

Chen. Q.-Q., Poorthuis, A., 2021.  Identifying home locations in human mobility data:  an open-source R package for comparison and reproducibility.  International Journal of Geographical Information Science 0, 1-24. https://doi.org/10.1080/13658816.2021.1887489

Ng, C.-L., Chen. Q.-Q., Chua, J.-J., Hemond, H.F., 2017.  A Multi-Platform Optical Sensor for In Vivo and In Vitro Algae Classification.  Sensors 17, 912.  https://doi.org/10.3390/s17040912

Ng, C.-L., Ng, Y.-J., Chen. Q.-Q., Hemond, H.F., 2016.  Corrections for matrix effects on flourescence measurement of a multi-platform optical sensor.  Water Practice and Technology 11, 644-660.  https://doi.org/10.2166/wpt.2016.069