Ron van Hoof

Senior Research Associate

Ron has a Bachelor’s degree in Computer Science from the Hogeschool West-Brabant in the Netherlands and a Master’s degree in Knowledge Engineering from the University of Middlesex, London, UK and the Centre of Excellence, CIBIT, the Netherlands.

Ron worked at Verizon (then NYNEX) for 3 years starting in 1995 and for a variety of contracting firms (Caelum Research Corporation, QSS Group, Inc., Perot Systems, and Dell) doing work for NASA for the past 15 years in close collaboration withBill Clancey. Ron’s work involved the development of a multi-agent modeling language, simulation environment for simulating work practice, and agent-based work flow automation system (Brahms). Brahms is a data driven discrete event simulation environment with extensions for the real-time execution of intelligent agents.

Ron was in part responsible for the development of the Mobile Agents Architecture (MAA) used to develop a distributed multi-agent surface exploration support system to support a team of astronauts and robotic exploration vehicles during their extravehicular activities (EVAs) tested in a simulated Mars environment in Utah and Arizona. The MAA work included the integration of IHMC’s KAoS services framework.

Ron’s most recent accomplishment has been the development and deployment of a multi-agent system in NASA’s mission control center to automate 90% of a flight controller position responsible for managing the coordination and distribution of a wide variety of files between science teams and the International Space Station (ISS). The system is called OCAMS (Orbital Communications Adapter Management System). Ron’s responsibilities included development lead, system architect, and software engineer responsible for all aspects of the development cycle, from requirements analysis, to planning, design, implementation of numerous components, testing, packaging, deployment, and support. All development was done in Java.

At IHMC Ron will be working in a team led by Bill Clancey to research and develop a Model-Based Retinal Image Interpretation and Diagnosis System (IRIS-D). The long-term objective is to enable any healthcare provider in the world to easily and affordably provide an advanced screening service to their patients and receive a detailed report from fully automated diagnostic software, providing the most accurate screening results available.