Presenters
Michael Boses
Quark
Noz Urbina
Mekon Ltd
Emma Hamer
Hamer Associates
Mark Poston
Mekon
Matthew Ellison
Director of WinWritersUA
Christian Weih
Across
Rahel Bailie
International Design
Keith Thompson
Vitrium Systems
Nick Martin
Quark
Dan Dube
DocZone
Mikhail Vaysbukh
Data Conversion Laboratory
Spencer Garlick
XMLSG
Miel De Schepper
Trisoft
Victoria Ichizli-Bartels
Corena
Chris Hadley
Micro Focus
Peter Li
Simonsoft UK
Wez Dowell
XyEnterprise
Sarah O’Keefe
Scriptorium Publishing
Jeroen Van Rotterdam
EMC x-hive
Dennis Raitz
Boeing
Michael Miller
Antenna House
Stephen Buxton
Mark Logic Corporation
Joe Gelb
Suite Solutions
Vince Savard
PTC
Maria Luisa MacDonald
AgustaWestland
Chris Royston
Cambridge Silicon Radio
Jacquie Rhodes
Cambridge Silicon Radio (CSR)
Judi Vernau
Metataxis
Andrea Leszek
salesforce.com
John Sheridan
National Archives
Amber Swope
JustSystems
John Hunt
IBM
Amanda Bucklow
Independent
JoAnn Hackos
Comtech Services
Chris Wood
BAE Systems
Charles Cooper
The Rockley Group
Gunnar Krause
Qimonda AG
Wayne Gafford
Advanced Distributed Learning (ADL)
Presenter Details
Wayne Gafford
Deputy Director, ADL Job Performance Technology Center, Advanced Distributed Learning (ADL)

Mr. Gafford combines a background in teaching and education with XML-based standards that has resulted in innovative ideas for e-learning content management and data interoperability. For the last three years, Mr. Gafford has lead subcommittees, studies and prototype projects that explore how learning content can benefit from structured markup. Results have lead to an increased awareness that standardized metadata and XML structure can unify diverse, but related content that support common systems, procedures and products. Mr. Gafford has taken his research to the Advanced Distributed Learning Initiative where he is now the Deputy Director of the Job Performance Technology Center. He is a member of the DITA and S1000D learning subcommittees, is an active public speaker at S1000D and ADL events, and is a supporter of developing XML schemas that model instructional development and learning content to improve knowledge management and distributed learning.


