Ximeng Cheng is a research assistant (postdoc) in the Applied Machine Learning Group at the Artificial Intelligence Department, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute (HHI). In 2021, he worked in the High Performance Computing (HPC) Group, Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) for three months. During his doctoral period, he was a research assistant at the Institute of Remote Sensing and Geographical Information Systems, Peking University. In 2019, as a visiting scholar, he worked in the CyberGIS Center for Advanced Digital and Spatial Studies, University of Illinois at Urbana-Champaign. During his graduate study, he was a visiting graduate student for two years (2014-2016) at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences. His research interests include GIScience, spatio-temporal data mining, explainable artificial intelligence (XAI), time-series analysis, geospatial artificial intelligence (GeoAI), machine learning, social sensing, urban studies, remote sensing, transportation, and disaster assessment. His studies have been published in international leading journals including Computers, Environment and Urban Systems, and International Journal of Geographical Information Science.