Xiang Li

Biography

Xiang Li, a research scientist at the Information Technology & Systems Center (ITSC) at the University of Alabama in Huntsville (UAH), has over 15 years of experience in machine learning and satellite data analysis through working on the research projects at ITSC.

Research Interests

machine learning and data mining, data analysis.

Posters

Climatology of mountain gap winds and coastal upwelling poster A Climatology of Mountain Gap Wind Jets and Related Coastal Upwelling Based on Analysis of Satellite Climate Data Records (OceanSci 2012)
Improved Data Reduction Tool poster An Improved Data Reduction Tool in Support of the Real-Time Assimilation of NASA Data Streams (IDT)
Coastal gap winds and ocean upwelling poster presented at ESIP 2012 Building a Climatology for Coastal Gap Winds and Resulting Ocean Upwellling Events (ESIP Meeting 2012)
Semantic frameworks for e-Science poster Building a Semantic Framework for e-Science (AGU 2009)
DATA ALBUMS: An EVENT DRIVEN SEARCH, AGGREGATION and CURATION TOOL FOR EARTH SCIENCE (IGARSS 2014) DATA ALBUMS: An EVENT DRIVEN SEARCH, AGGREGATION and CURATION TOOL FOR EARTH SCIENCE (IGARSS 2014)
Data Mining and Features Selection poster Data Mining and Feature Selection Approaches for Anomaly Detection
SMART-ODM poster SMART-ODM Project: Sensor Management for Applied Research Technologies for On Demand Modeling
When Mountains Blow...A Joint Venture Between DISCOVER, NASA's Global Hydrology Resource Center, and UAH's Information Technology and Systems Center When Mountains Blow...A Joint Venture Between DISCOVER, NASA's Global Hydrology Resource Center, and UAH's Information Technology and Systems Center

Projects

Products

Algorithm Development and Mining (ADaM)
ADaM is a data mining toolkit

ADaM is a data mining toolkit designed for use with scientific and image data. It includes pattern recognition, image processing, optimization, and association rule mining capabilities.

Biblio

A Climatology of Mountain Gap Wind Jets and Related Coastal Upwelling Based on Analysis of Satellite Climate Data Records
A novel approach to detect regions of phenomena from NAM model outputs
A Simple and Efficient Feature Extraction Algorithm for Geophysical Phenomena
Aerosol Single Scattering Albedo Estimated from NOAA-14 AVHRR Measurements: Case Studies over Brazil
Agent Framework for Intelligent Data Processing
An Improved Data Reduction Tool in Support of the Real-Time Assimilation of NASA Satellite Data Streams
An Interoperable Framework for Mining and Analysis of Space Science Data (F-MASS)
Automated Detection of frontal systems from numerical model-generated data
Automated Detection of Gap Wind and Ocean Upwelling Events in Central American Gulf Regions
Bird's Eye View of Data Mining in Geosciences
Building a Climatology for Coastal Gap Winds and Resulting Ocean Upwelling Events
Building a Climatology for Mountain Gap Wind Jets and Related Coastal Upwelling
Building a Semantic Framework for eScience
Comparing Different Thresholding Algorithms for Segmenting Auroras
Customizing a Semantic Search Engine and Resource Aggregator for Different Science Domains
Data Assimilation Decision Making Using Sensor Web Enablement
Dayglow Removal from FUV Auroral Images
Dynamic Filtering and Mining Triggers in Mesoscale Meteorology Forecasting
Earth Science Markup Language
Earth Science Markup Language: A Solution for Generic Access to Heterogeneous Data Sets
Earth Science Markup Language: A Solution to Address Data Format Heterogeneity Problems in Atmospheric Sciences
Emergent Science: Solving Complex Science Problems via Collaborations
Estimation of Shortwave Direct Radiative Forcing of Biomass Burning Aerosols Using New Angular Models
Estimation of Surface and Top-of-Atmosphere Shortwave Irradiance in Biomass-Burning Regions during SCAR-B
Evaluation of Data Reduction Algorithms for Real-time assimilation and analysis
Evolving Sensor Web Protocols for Sensor Data Management
Framework for Mining and Analysis of Space Science Data
Impact of Central American Fires on the Radiation Budget over ARM CART site
Intelligent Assimilation of Satelite Data into a Forecast Model Using Sensor Web Processes and Protocols
Intelligent Data Thinning Algorithm for Earth System Numerical Model Research and Application
Intelligent Data Thinning Algorithms for Satellite Imagery
Interchange Technology for Applications to facilitate generic access to heterogeneous data formats
Investigating Data Mining Techniques to Detect Dust Storms in MODIS Imagery
MIDAS: An Agent Based Data Transcoding Services Framework
Mining Ensemble Model Data
Mining NEXRAD Radar Data: An Investigative Study
Noesis: A Semantic Search Engine and Resource Aggregator for Atmospheric Science
Noesis: Ontology based Scoped Search Engine and Resource Aggregator for Atmospheric Science
Noise Removal in FUV Imagery Data Using Context Information
PEA: Phenomena Extraction Algorithm
Real-time Storm Detection and Weather Forecast Activation through Data Mining and Events Processing
Satellite Remote Sensing of Fires, Smoke and Regional Radiative Energy Budgets Over South America and Africa
Satellite Remote Sensing of the 1998 Central American Fires
Shortwave Direct Radiative Forcing of Biomass Burning Aerosols Estimated Using VIRS and CERES Data
Storm Clustering for Data-driven Weather Forecasting
Syntactic and Semantic Metadata Integration for Science Data Use
The effects of data thinning on mesoscale analyses
The Sensor Management for Applied Research Technologies (SMART) Project
Using Sensor Web Protocols for Environmental Data Acquisition and Management
WxGuru: An ontology driven chatbot prototype for Atmospheric Science Outreach and Education