PH.D. in Computational Science & Engineering, Georgia Institute of Technology, Aug. 2019

M.S. in Computational Science & Engineering, Georgia Institute of Technology, Dec. 2017

M.S. in Cartography and GIS, Institute of Remote Sensing and Digital Earth, CAS, Jun. 2013

B.S. in GIS, Henan University, Jun. 2010

Dr. Mengmeng Liu is an Assistant Professor (Teaching) at the School of Data Science at CUHK-Shenzhen. She is the Undergraduate Program Director for the Computer Science and Engineering program. Previously, she was an Assistant Professor in the Master of Computer Science program at the Georgia Tech Shenzhen Institute (GTSI), where she received the Georgia Tech Student Recognition of Excellence in Teaching Award. Earlier, she worked as a Big-Data Engineer at FINRA in the United States for two years. With a multidisciplinary background in geography, remote-sensing image processing, transportation data analytics, and computational science, Dr. Liu’s research focuses on data-driven spatial sustainability assessment, spatiotemporal data analysis, data visualization, and Applications of Artificial Intelligence.

[1] Liu, Q., Liu M., Ye, X. (2021) An Extended Spatiotemporal Exposure Index for Urban Racial Segregation. Cartography and Geographic Information Science. 48:6, 530-545, DOI: 10.1080/15230406.2021.1965915

[2] Liu M., Frost, J. D., Liu Q. (2020) Spatial Sustainability Assessment Framework for Civil Infrastructure Condition. In: Correia A. & Tinoco J., etc. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. 406-418. (EI)

[3] Liu, M., & Frost, J. D. (2017). Sustainability of Moving Atlanta Interstate Highways within the Perimeter Underground: Preliminary Detour Analysis. International Conference on Sustainable Infrastructure, New York City, NY, USA. (EI)

[4] Robinson, C., Shirazi, A., Liu, M., & Dilkina, B. (2016). Network Optimization of Food Flows in the U.S. 2016 IEEE International Conference on Big Data (Big Data). Washington, DC, 2016, 2190-2198. (EI)

[5] Jain, A., Fujimoto, R. M., Kim, J., Liu, M., Crittenden, J., & Lu, Z. (2015). Towards Automating the Development of Federated Distributed Simulations for Modeling Sustainable Urban Infrastructures. 2015 Winter Simulation Conference (WSC), Huntington Beach, CA, 2015, 2668-2679. (EI)

[6] Liu, M., Liu, Y., Sun, G., & Li, P. (2014). SVM Land Cover Classification based on Spectral and Textural Features Using Stratified Samples. Remote Sensing Technology and Application, 29(2), 315-323. (CSCD)

[7] Yu, L., Liu Y., Peng Z., Liu M., Ren Y. (2013). A Modelling Framework for Estimating Road Segment Based On-Board Vehicle Emissions. IOP Conference Series: Earth and Environmental Science, Volume 17, 35th International Symposium on Remote Sensing of Environment (ISRSE35) , Beijing, China. (EI)

[8] Ren, Y., Liu, Y., Zhang, Y., Liu, Z., Liu, M. (2013). Highway Disaster Detection Method Based on Post-Disaster Remote Sensing Image Features. Journal of Natural Disasters, 2013,22(6):33-40. （CSCD, EI）

[9] Liu, M., Liu, Y., & Sun, G. (2012). Land Cover SVM Classification using ALOS Image Based on Textural Features. In Shan, J. & Zhang, J. (Eds.), Proceeding of the 18th China Symposium on Remote Sensing (pp. 923-929).

[10] Sun, G., Ren, Y., Liu, M., Liu, Z., & Liu, Y. (2012). SVM Classification for Sensitive Parcels in Highway Route Selecting Based on ALOS Image Combining NDVI. Advanced Materials Research, Vols.518-523, 5623-5626. (EI)

[11] Xu, Q., Sun, G., Liu, M., & Liu, Y. (2012). Landscape Pattern Analysis of Highway Route Corridor Zone Based on Remote Sensing. In Shan, J. & Zhang, J. (Eds.), Proceedings of the 18th China Symposium on Remote Sensing (pp. 1032-1039).