ALTEMIS Scientist won Best Presentation Award

ALTEMIS scientists and students participated in the RemPlex Summit, held virtually on November 8-12, hosted by the Center for the Remediation of Complex Sites (RemPlex) at Pacific Northwest National Laboratory (PNNL). This summit was an international forum to discuss the challenges, barriers, and innovative solutions for successful remediation and long‐term stewardship of contaminated sites as well as to share lessons learned and to better understand remediation needs worldwide.  

The ALTEMIS project – funded by the Department of Energy (DOE) Office of Environmental Management – is implementing technologies to improve efficacy and cost-efficiency of contaminant monitoring at DOE legacy sites, where a complex groundwater plume consisting of a diverse mixture of radionuclides will require monitoring for decades.

Berkeley Lab research scientist Haruko Wainwright talked about the overall project framework and recent accomplishments, while Aurelien Meray from Florida International University demonstrated the open-source python package for machine learning of soil and groundwater contamination datasets. The presentations are available here. Wainwright’s presentation was selected as a Best Presentation Award in the session focused on “Big Data Analytics, Artificial Intelligence, and Machine Learning for Environmental Remediation of Complex Environmental Systems.” Learn more about this award here. (Announcement)