Co-located with the 2020 Spring Geospatial Water Technology Conference
Preliminary Agenda & Speakers
Conference & Symposium Registration
Symposium Only Registration
THURSDAY, MARCH 26 | 9:00 AM - 5:00 PM | AUSTIN, TX - $50.00
About Dr. Maidment
Dr. David R. Maidment
Hussein M. Alharthy Centennial Chair in Civil Engineering Emeritus
Center for Water and the Environment, University of Texas at Austin
David R. Maidment is the Hussein M. Alharthy Centennial Chair in Civil Engineering Emeritus at the University of Texas at Austin where he served on the faculty from 1981 to 2019. He received his Bachelor's degree in Agricultural Engineering with First Class Honors from the University of Canterbury, Christchurch, New Zealand, and his MS and PhD degrees in Civil Engineering from the University of Illinois at Urbana-Champaign. Prior to joining the faculty at the University of Texas, he was a research scientist at the Ministry of Works and Development in New Zealand, and at the International Institute for Applied Systems Analysis in Vienna, Austria, and he was also a Visiting Assistant Professor at Texas A&M University.
Dr. Maidment is a specialist in surface water hydrology, and in particular in the application of geographic information systems to hydrology. In 2016, he was elected to the National Academy of Engineering "For development of geographic information systems applied to hydrologic processes".
Dr. Maidment said once “It is as important to represent hydrologic environments precisely with data as it is to represent hydrologic processes with equations.” His work on hydrologic and geographic information systems has advanced the application of data science in the fields of hydrology and water resources. Attend this symposium to hear presentations and participate in discussions on Dr. Maidment's achievements, how they came about, and what they mean for the future. Attendees also can expect a deeper understanding of the subjects where Dr. Maidment has worked, notably (1) Continental Scale Modeling and the US National Water Model, (2) Hydrologic Information Systems, (3) Using GIS in Water Resources, and (4) ArcHydro and data models for spatial hydrographic data infrastructure.