Geoinformatics Laboratory "Location Thinkers"

In this research we are developing data analytics to understand patterns in large geospatial data sets and developing distributed and parallel algorithms suitable for cloud computing and grid computing to address geospatial data-intensive problems.

In this project we are developing a framework where PAM, SoNavNet, and PNS are integrated. The framework is being developed on a cloud and allows customization of the three components (PAM, SoNavNet, PNS) for any location and for users with various accessible wayfinding and navigation needs.

In this research we are developing multi-modal transportation with multi-criteria walking methodology and algorithms that can be used to assist with physical activity, among other health benefits.

In this research we are developing methodologies and algorithms for a pedestrian navigation service that utilizes sidewalk networks and provides step-by-step instructions on personalized routes in both text and audio on Android phones.

In this research we are developing techniques and tools for an interactive map that includes accessible information and provides route options including walking and riding shuttle bus.

In this research we are developing a framework for a type of location-based social networks (LBSN) that focus on navigation information sharing among users, and from the system itself.

In this research we are developing methods for collecting pedestrian network data, such as sidewalks, footpaths, walking trails, etc. We're exploring using GPS-equipped mobile devices for collection which connect to an online social network for sharing and distribution.

In this research we are developing methods for predicting the quality of service (QoS) of the Integrated Global Navigation Satellite System (GNSS) which will be a constellation of 4 different geopositioning satellite systems in the near future; US's GPS, Russia's GLONASS, EU's Galileo, and China's COMPASS.

In this research we are developing methods for efficiently conducting data-intensive queries in a grid environment, where both computing resources and database storage are distributed throughout the grid.

In this research we are developing methodologies and techniques for universal navigation including geo-positioning, map matching, and routing for indoor/outdoor navigation

In this research we are developing methodologies and techniques that are focused on "location" and "mobility" for various social networks.

In this research we are developing techniques for location-aware mobile computing including location adaptation and prediction and personalized routing.

In this research we are developing methodologies and techniques for distributed geoprocessing on grids.

In this research we are developing methodologies and algorithms for GPS Quality of Service.

In this research we are developing geometrical and topological models to predict locations in mobile computing environments in order to provide seamless computing.

In this research we are developing techniques for 3D database creation and processing.

In this research we are developing a web-based geoinformatics environment for geospatial analysis and modeling.

In this research we are developing an Internet-based GIS for bus route optimization.

In this research we are designing and developing a distributed environment for accessing and processing computational biology data and algorithms.