John Rushing

Biography

John Rushing received the B.S. degree in Computer and System Engineering from Rensselaer Polytechnic Institute (RPI) in 1988, the M.S. and Ph.D. degrees in Computer Science from the University of Alabama in Huntsville (UAH) in 1995 and 1999 respectively. In 1999 he joined Intel Corporation as a Senior CAD Engineer. In 2002 he returned to UAH as where he is currently a Principal Research Scientist. At UAH Dr. Rushing has worked on a wide variety of projects including remote sensing data analysis, document indexing and retrieval, and wargaming.

Research Interests

Artificial Intelligence
Data Mining
Machine Learning
Parallel Algorithms
Image Processing

Posters

	ADaM Coverage Based Ensemble Algorithm
	Data Interchange in a Grid Environment: The Use of the Earth Science Markup Language (ESML) in the Linked Environments for Atmospheric Discovery (LEAD)
	Deep Learning for Multisensor Image Resolution Enhancement (11th Annual Science & Technology Jamboree 2017)
	Polaris: A Discovery Engine for Big Data (IGARSS 2013)

Projects

ADaM

Automated Event Service

Mining and Analysis of Traffic Safety and Roadway Condition Data

Vantage Sensor Network Simulations

Products

Algorithm Development and Mining (ADaM)

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.

Spyglass

The Spyglass tool is designed to help analysts explore very large collections of unstructured text documents.

Biblio

A Coverage Based Ensemble Algorithm (CBEA) for Streaming Data

A data fusion algorithm for large heterogeneous sensor networks

ADaM Services: Scientific Data Mining in the Service Oriented Architecture Paradigm

ADaM-IVICS: A software tool to mine satellite data

ADaM: A Data Mining Toolkit for Scientists and Engineers

Architecture for an integrated real-time air combat and sensor network simulation

Augmenting Wargame AI with Data Mining Technology

Bird's Eye View of Data Mining in Geosciences

Comparing Different Thresholding Algorithms for Segmenting Auroras

Comparing Optimization Methods for Wargame AI Strategies

Comparing Texture Feature Characterization Methods for Cumulus Cloud Classification in GOES Images

Coupling Data Mining with Cellular Automata to Model Dynamic Phenomena

Data Interchange in a Grid Environment: The Use of the Earth Science Markup Language (EMSL) in the Linked Environments for Atmospheric Discovery (LEAD)

Data Interchange in a Grid Environment: The Use of the Earth Science Markup Language (ESML) in the Linked Environments for Atmospheric Discovery (LEAD)

Data Mining on the TeraGrid

Detection of Cumulus Cloud Fields in Satellite Imagery

Distributed Services Technology for Earth Science Data Processing

Efficient Parallel Computation of Inverse Document Frequency Features for Text Mining

Eureka Phenomena Discovery and Phenomena Mining System

Flexible Framework for Mining Meteorological Data

For Scientific Data Discovery: Why Can't the Archive be More Like the Web

Framework for Mining and Analysis of Space Science Data

Image Segmentation Using Association Rule Features

Large-Scale Sensor Network Simulations for Air Defense Studies

Linked Environment for Atmospheric Discovery (LEAD): A Cyberinfrastructure for Mesocyclone Meteorology Research and Education

Linked Environments for Atmospheric Discovery (LEAD): Architecture, Technology Roadmap and Deployment Strategy

Mining and Analysis of Traffic Safety and Roadway Condition Data

Mining and Modeling in the Linked Environments for Atmospheric Discovery (LEAD)

Mining Ensemble Model Data

Mining NEXRAD Radar Data: An Investigative Study

New Technologies for Improving Earth Science Data Usability

Object Oriented Artificial Intelligence for Wargames

On-Board Mining in the Sensor Web

Promoting Science Data through Innovative Information Systems

Real-time target tracking simulations in large disparate sensor networks

Real-time target tracking with binary sensor networks and parallel computing

Rule Learning Approaches for Symmetric Multiplayer Games

Sensor networks and network sensibility

Service-Oriented Environments in Research and Education for Dynamically Interacting with Mesoscale Weather

Spyglass: A System for Ontology Based Document Retrieval and Visualization

Suborbital Strike! The Use of Commercial Suborbital Spacecraft for Strike Missions

Target-Independent Mining for Scientific Data: Capturing Transients and Trends for Phenomena Mining

Techniques and Experience in Mining Remotely Sensed Satellite Data

The National Forum for Geosciences Information Technology (“FIGIT”)

The Observe-Orient-Decide-Act (OODA) Model For Strategic Game AI

The Role of Data Mining in Earth Science Data Interoperability

Use of Genetic Algorithms to Refine Military Tactics and Game the System

Using Association Rules as Texture Features

Visualizations for the Spyglass Ontology Based Information Analysis and Retrieval System