Ken Keiser

Biography

Ken Keiser, a research scientist at the Information Technology & Systems Center at the University of Alabama in Huntsville (UAH), has over 30 years of experience with development of geoscience related information technology solutions. While at UAH, Ken has been involved with a number of applied research projects ranging from Earth science topics, homeland security activities, and defense-related modeling and simulation systems.

Research Interests

Research interests include spatial science topics, to include data management, distributed processes, virtualization and 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)
ED3 Poster Automated Data Delivery and Processing for Disaster Events
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)
ED3 Coastal Hazard Events Driven Automated Data Aggregation, Processing, and Delivery (2013 NGCHC Annual Science Meeting)
Coastal Research at ITSC Poster Coastal Research at the Information Technology and Systems Center
Data Albums: A Synthesis Engine for Studying Events (ESDSWG 2014) Data Albums: A Synthesis Engine for Studying Events (ESDSWG 2014)
Data Albums: A synthesis engine to support case study and climatology analysis (ESIP Winter 2014) Data Albums: A synthesis engine to support case study and climatology analysis (ESIP Winter 2014)
LEAD ESML poster Data Interchange in a Grid Environment: The Use of the Earth Science Markup Language (ESML) in the Linked Environments for Atmospheric Discovery (LEAD)
Decision Support Using NASA Data and Dispersion Modeling to Identify Possible Impacts of Prescribed Burns in Alabama (ESIP Meeting 2012)
Disaster Event-Based Data Collection and ARCGIS Online Services (ESRI User Conference 2017) Disaster Event-Based Data Collection and ARCGIS Online Services (ESRI User Conference 2017)
Disaster Preparedness & Event Analysis (ESIP Summer 2014) Disaster Preparedness & Event Analysis (ESIP Summer 2014)
DISOVER poster DISCOVER (AGU 2008)
EarthCube's Evolving Science Workbench (EarthCube 2018) EarthCube's Evolving Science Workbench (EarthCube 2018)
ECITE and beyond (EarthCube 2017) ECITE and beyond (EarthCube 2017)
SCOOP poster Enabling Coastal Researcn and Management with Advanced Information Technology
Sensor Webs poster Enabling Earth Science Research and Management with Sensor Webs
Event-Driven and Collaboration Technologies for Earth Science Research (Earth Cube 2014) Event-Driven and Collaboration Technologies for Earth Science Research (Earth Cube 2014)
Event-Driven Cyberinfrastructure Technologies Supporting the Disaster Life Cycle (AGU 2014) Event-Driven Cyberinfrastructure Technologies Supporting the Disaster Life Cycle (AGU 2014)
Event-Driven Data Delivery (ED3) Technologies for Severe Weather Research GHRC Innovations: Moving Technology from Research to Production (ESIP Winter 2014) Event-Driven Data Delivery (ED3) Technologies for Severe Weather Research GHRC Innovations: Moving Technology from Research to Production (ESIP Winter 2014)
Evolving Frameworks for Different Communities of Scientists and End Users (AGU Fall Meeting 2016) Evolving Frameworks for Different Communities of Scientists and End Users (AGU Fall Meeting 2016)
Fusion Center Tools conference poster Fusion Center Tools from ACJIC and UAHuntsville
Air quality modeling poster How Clean is your Local Air? Here's an app for that (AGU 2011)
Providing Event-Driven Real-Time Data (ESIP Summer 2015) Providing Event-Driven Real-Time Data (ESIP Summer 2015)
SANDS poster SANDS: Sediment Analysis Network for Decision Support (AGU 2009)
Alabama fires poster Utilization of Near Real-time Satellite Data in Atmospheric Transport and Dispersion Modeling Applications
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

Biblio

A Climatology of Mountain Gap Wind Jets and Related Coastal Upwelling Based on Analysis of Satellite Climate Data Records
A Framework for Sensor Data and Product Processing
A Large Scale Sensor Network Simulation for Aircraft/Missile Detection/Tracking
A Next Generation Information System for Earth Science Data
A Prototype for Earth Science Data on Demand
A Syntactic and Semantic Metadata Solution for Intelligent Applications in Earth Science
ADaM Services: Scientific Data Mining in the Service Oriented Architecture Paradigm
Advanced Information Management Services in SCOOP, an IOOS Testbed
Air Quality Science Supporting Decision Making for the Alabama Forestry Commission
Algorithm Development and Mining (ADaM) System for Earth Science Applications
An Information Infrastructure for Coastal Models and Data
An Interoperable Environment for Geospatial Data
Automated Data Delivery and Processing for Disaster Events
Automated Detection of Gap Wind and Ocean Upwelling Events in Central American Gulf Regions
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 Propulsion Experiment Project Management Environment
Cyberinfrastructure-enabled Collaborative Coastal Research
Data Casting for Integration of Applied Science Projects
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 Web Services for Science Data Repositories
Data Mining: Atmospheric Science Case Study
Data Preparedness for Disasters, Hazards and Other Events
Decision Support Using NASA Data and Dispersion Modeling to Identify Possible Impacts of Prescribed Burns in Alabama
Deployable Suite of Data Mining Web Services for Online Science Data Repositories
Disaster Event-Based Data Collections with ArcGIS Online Data Processing
DISCOVER: A Service Oriented Approach to Managing Earth Science Data Across Distributed Project-specific Repositories
DISCOVERing Online Data and Services
Distributed Services Technology for Earth Science Data Processing
Distributed Technologies in a Data Pool
Earth Science Markup Language: A Solution to Address Data Format Heterogeneity Problems in Atmospheric Sciences
Earth Science Markup Language: An update
Earth Science Mining Web Services
ESIP User-Community Readiness Rankings: Augmented Metadata for Data Products Based on Specific User-Community Criteria
EVE: An Environment for On-Orbit Data Mining
Flexible Earth Science Data Mining Architecture
Flexible Framework for Mining Meteorological Data
GLIDER: Earth Science Image Visualization and Analysis
Global Hydrology Resource Center: A Foundation for Research Using Earth Observation Data
How Clean is your Local Air? Here's an app for that
Innovative Technologies for Sciences Data Processing
MIDAS: An Agent Based Data Transcoding Services Framework
Mining and Analysis of Traffic Safety and Roadway Condition Data
Mining and Modeling in the Linked Environments for Atmospheric Discovery (LEAD)
Mining Earth Science Data
Mining Scientific Data using Internet as the Computer
OOSTethys / Oceans IE Service Registry Based on Catalog Service for Web
SANDS - Sediment Analysis Network for Decision Support
Satellite Data Driven Modeling System for Predicting Air Quality and Visibility During Wildfires and Prescribed Burn Events
SCOOP Data Management: A Standards-based Distributed Information System for Coastal Data Management
SCOOP Data Management: A Standards-based Distributed System for Coastal Data and Modeling
Service Oriented Architecture for Harvesting Distributed Data Repositories
Solution Service Composition for Analysis on Online Science Data
Solutions for Mining Distributed Scientific Data
Syntactic and Semantic Metadata Integration for Science Data Use
The Role of Data Mining in Earth Science Data Interoperability
Utilization of Near Real-time Satellite Data in Atmospheric Transport and Dispersion Modeling Applications
Visualization of On-demand Virtual Data Products in a Distributed Environment