Tuesday, May 21, 2024 | 8:00 AM to 5:00 PM (ET)

U.S. Environmental Protection Agency
William Jefferson Clinton West Building
1301 Constitution Ave. NW, Washington, D.C. 20004

To register for in-person attendance, visit: https://www.trainex.org/frtr.
To register for online attendance, visit: https://cluin.org/conf/tio/FRTRSpring24/.

View/Download the Spring 2024 Meeting Logistics (3pp/1.06MB/PDF).
View/Download the Spring 2024 Meeting Agenda (1pp/216KB/PDF).

The United States Federal Remediation Technologies Roundtable (FRTR) Spring 2022 General Meeting explored applications of artificial intelligence (AI) and machine learning (ML) concepts to site cleanups. Technology advances in robotics, unmanned systems, and analysis of large data sets to support site characterization and remediation were reviewed. Projects seeking to advance use of AI/ML and support remedy decisions were presented. Potential benefits, risks, and limits of deploying AI/ML technologies were identified.

The FRTR 2024 Spring General Meeting provides an opportunity to share progress and results of recent AI/ML projects providing advanced contaminant plume characterization and predictive modeling, and improved cleanup efficiency. The meeting highlights site-specific case studies where AI/ML has substantially enhanced remedial decisions, remedy implementation and performance monitoring, and reduced needs for extensive sampling. Discussions during the meeting seek to provide remedial project managers and technical staff with information and best practices for deploying AI/ML technology.


8:00 amWelcome
Greg Gervais, Director EPA/FFRRO with Gilberto “Tito” Irizarry, Director, EPA OSRTI TIFSD
8:10 amMeeting Objectives
Jean Pabon, USDOE/EM
8:20 amUsing AI Machine Learning Approaches to Predict Potential Future Environmental Violation
Hunter Klein, NAVFAC/EXWC
9:00 amArtificial Intelligence and Machine Learning for Advanced Long-Term Environmental Monitoring Systems
Carol A. Eddy-Dilek, SRNL
9:40 amBreak — Agency Announcements
10:00 amApplication of AI, ML, and Digital Twins for Radiological Characterization, Survey, and Remediation for Decommissioning
Leonel E. Lagos, FIU
10:40 amApplication of AI, ML, and Digital Twins for Radiological Characterization, Survey, and Remediation for Decommissioning — Case Studies
Brad Bonn, Boston Dynamics
11:20 amWeb-Based Tool for Remedy Transition Assessments
David Adamson, GSI Environmental
12:00 pmLunch — Agency Announcements
1:00 pmLeveraging Data-Driven Approaches for Performance-Based Management of Pump-and-Treat Remedies
Inci Demirkanli, PNNL
1:40 pm4D Electrical Resistivity Tomography Monitoring of Vadose Zone Soil Flushing at the Hanford 100-K Area Reactor Facility: Machine-Learning Based Assessment
Tim Johnson, PNNL
2:20 pmBreak — Agency Announcements
2:40 pmTRAC — A Tool for Tracking Groundwater Restoration Across Multiple Sites
Christian Johnson, PNNL
3:20 pmA Scalable Reactive Transport Framework for PFAS
Christian Johnson, PNNL
4:00 pmRoundtable with Presenters
5:00 pmAction Items/Adjourn