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General Meeting

Application of Robotics, Machine Learning and Artificial Intelligence Technologies to Site Remediation

Session 2: Advances in Processing Large Data Sets and Machine Learning for Remediation Decision Support

Monday, June 13, 2022 | 1:00 to 3:45 PM (EDT)
Webinar Agenda

Register at: https://clu-in.org/training/webinar/FRTRSpring22/.
View/Download the Session 2: June 2022 Agenda (1pp/212KB).

Meeting Objectives:

The FRTR Spring 2022 Meeting will explore advances in applying artificial intelligence technologies to site cleanup. Artificial intelligence technologies are beginning to transform how people and machines work together. Robotics and unmanned systems provide opportunities to access dangerous or toxic environments, and improve worker safety. Advances in machine learning are making it possible to process and analyze large data sets in new ways to support remediation decisions. Specific objectives are:

  • Review recent technology advances supporting site characterization and remediation.
  • Identify potential benefits, risks and limits of robotics and unmanned aerial systems to support site characterization and remediation.
  • Discuss appropriate use of machine learning and artificial intelligence to support remediation decisions.
1:00 pm Meeting Opening
Kent Glover, FRTR Steering Committee Chair
1:05 pm Recap of Day 1 and Introduction to Day 2 Focus
Moderators: Kent Glover, AFCEC and Jean P. Pabon, DOE
Download Presentation (9pp/568KB/PDF)
1:15 pm The DOE Altemis Project: Combining Innovative Technologies to Improve Long-Term Management of Radionuclide-Contaminated Sites
Carol Eddy-Dilek, Savannah River National Laboratory
Download Presentation (19pp/2.64MB/PDF)
1:40 pm Use of In situ Real-Time Monitoring for Early Warning Systems at SRS F-area and D-area Coal Ash Basins
Tom Danielson, Savannah River National Laboratory
Download Presentation (32pp/9.59MB/PDF)
2:05 pm Artificial Intelligence and Machine Learning Techniques for Long Term Monitoring of Soil and Groundwater Contamination
Himanshu Upadhyay, Florida International University
Download Presentation (34pp/4.91MB/PDF)
2:30 pm Break—Agency Announcement Slides
Download Presentation (5pp/360KB/PDF)
2:45 pm Application of Imaging Spectroscopy and Machine Learning to Chemometrics
David Williams, EPA ORD Center for Environmental Measurement and Modeling
3:10 pm NIEHS Superfund Research Program (SRP) Machine Learning and Artificial Intelligence Activities
Heather Henry, NIEHS Superfund Research Program
Download Presentation (13pp/1.52MB/PDF)
3:20 pm Discussion and Concluding Remarks
Moderator: Jean P. Pabon, DOE
3:45 pm Adjourn