Jianting Zhang

Jianting Zhang is an Assistant Professor of Computer Science at the City College of New York (CUNY). His research focuses on geospatial data management, parallel computing, and GPU acceleration techniques for handling large-scale spatial datasets. He specializes in optimizing spatial query processing, indexing methods for moving objects, and high-performance computing frameworks for web-based GIS applications. His work bridges theoretical algorithm design with practical implementations in distributed and cloud environments.

Key research interests include parallel indexing of geospatial rasters and trajectories, efficient spatial join algorithms, and GPU-based acceleration of data compression and visualization. He has explored applications in biodiversity analysis, urban mobility (e.g., NYC taxi data), and query-driven web-GIS systems. His contributions emphasize scalable solutions for big data challenges in geographic information systems.

His publications highlight advancements in GPU-accelerated spatial processing, including novel approaches to quadtree construction, sparse matrix operations, and top-K trajectory similarity queries. While no scientific awards are explicitly mentioned, his active publication record reflects sustained contributions to the field of geospatial computing.