Current projects range from investigating computationally intensive spatial analysis and modeling for solving large-scale and/or multi-scale spatial problems in multiple application domains such as energy, public health, and sustainability science; developing national and global cyberinfrastructure capabilities (e.g., the Open Science Grid and NSF XSEDE); application- and user-level virtual organization services (e.g., resource monitoring, discovery, and scheduling) in the context of geospatial problem-solving environments; middleware for cyberinfrastructure-based GIS (e.g. GISolve); parallel computing of geospatial visual analytics; to CyberGIS and computational science approaches to understanding complex geospatial dynamics.

Computational Movement Pattern Analysis

The analysis of geographic mobility data and associated spatial interactions is of great importance to understanding complex geographic phenomena and

HydroShare is a collaborative environment for sharing hydrologic data and models.  It primarily serves the hydrologic sciences community. Both CyberGIS

CyberGIS-Jupyter is an innovative cyberGIS framework for achieving data-intensive, reproducible, and scalable geospatial analytics using Jupyter Notebook. The framework adapts

This research aims to demonstrate the use of massive social media data to interactively analyze spatiotemporal events across spatial and

Geospatially heterogeneous and interdependent changes across the globe, such as natural disasters, environmental changes, population growth, and rapid urbanization, have

Terra is the flagship of NASA’s Earth Observing System. Its datasets are amongst the most popular NASA datasets, serving not

Massive spatial data collected from numerous sources are increasingly used to instrument our natural, human and social systems at unprecedented scales

Geographic Information Systems (GIS) have gone through rapid growth since originally developed in the 1960s. In the foreseeable future, GIS

The Resource Management Mapping Service (RMMS) utilizes a wide range of coordinated natural resource-related databases to provide an online, interactive

TopoLens is a cyberGIS app for delivering community data services developed for easy and efficient access to high-resolution topographic data.

Every day massive amounts of geo-tagged information are generated around the urban environment using Micro-blog data services and content sharing

VICTS is a novel network partition algorithm for scalable agent-based modeling of mass evacuation. VICTS is based on a cyberGIS-enabled