Projects
SoNavNet: Social Navigation Networks
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.
Pedestrian Network Data Collection
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.
Integrated GNSS Quality of Service Prediction
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.
Grid Query Optimizer (GQO)
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.
UNAVIT:
In this research we are developing methodologies and techniques for universal navigation including geo-positioning, map matching, and routing for indoor/outdoor navigation
Location-Aware Social Networking:
In this research we are developing methodologies and techniques that are focused on "location" and "mobility" for various social networks.
Location-Based Services:
In this research we are developing techniques for location-aware mobile computing including location adaptation and prediction and personalized routing.
GeoGrid:
In this research we are developing methodologies and techniques for distributed geoprocessing on grids.
GPS QoS:
In this research we are developing methodologies and algorithms for GPS Quality of Service.
Seamless Ubiquitous Computing:
In this research we are developing geometrical and topological models to predict locations in mobile computing environments in order to provide seamless computing.
XTIN:
In this research we are developing techniques for 3D database creation and processing.
INSIGHT:
In this research we are developing a web-based geoinformatics environment for geospatial analysis and modeling.
Take-The-Bus:
In this research we are developing an Internet-based GIS for bus route optimization.
iGNM:
In this research we are designing and developing a distributed environment for accessing and processing computational biology data and algorithms.
