Michael Hilliard
About Michael Hilliard
Michael Hilliard serves as Research Staff at the Center for Transportation Analysis at Oak Ridge National Laboratory, where he has worked since 1983. He specializes in data analysis, visualization, and the development of automated tools for large-scale transportation systems.
Work at Oak Ridge National Laboratory
Michael Hilliard has been a part of Oak Ridge National Laboratory since 1983, serving as Research Staff in the Center for Transportation Analysis for 41 years. His role involves engaging in data analysis, visualization, algorithm development, simulation, and optimization. Hilliard develops analysis tools that integrate modeling with interactive visualization, addressing national challenges in transportation and sustainable energy. His work supports the decision-making processes of various federal agencies.
Education and Expertise
Michael Hilliard earned a Doctor of Philosophy (PhD) in Operations Research from Cornell University, where he studied from 1979 to 1983. Prior to that, he completed a Bachelor of Science (BS) in Mathematics at Furman University from 1975 to 1979. His educational background provides a strong foundation for his specialization in creating automated tools for analysis, prediction, and planning of large-scale transportation systems.
Background in Transportation Analysis
Hilliard specializes in the development of automated tools that facilitate the analysis, prediction, and planning of large-scale transportation systems. He collaborates with interdisciplinary teams that include experts from computing, transportation, and environmental science. This collaboration enhances decision-making processes for federal agencies, contributing to effective operations and strategic planning.
Contributions to Federal Agencies
Michael Hilliard contributes to operations and decision-making support for several federal agencies, including the Department of Energy, Homeland Security, the Corps of Engineers, and the Department of Defense. His work is instrumental in addressing complex challenges related to transportation and sustainable energy, ensuring that these agencies can make informed decisions based on robust data analysis and modeling.