Tom Danielson
Bio
Dr. Thomas Danielson is the Applied Sensing and Data Science Team Lead in the Environmental and Legacy Management Directorate at the Savannah River National Laboratory. Dr. Danielson has played a key role in contaminant transport modeling for activities at the Savannah River Site, including performance assessment at the E-Area Low Level Waste Facility and D&D of the 235-F facility. For the past several years, he has been applying AI/ML to contaminant transport and environmental cleanup. Dr. Danielson is part of the DOE-Funded ALTEMIS (Advanced Long-Term Environmental Monitoring Systems) team, assisting with design and installation of multi-modal real-time monitoring sensor networks.
Dr. Danielson’s Tuesday morning panel will focus on leveraging Artificial Intelligence to advance DOE-EM’s mission. AI is a key enabling technology that has been proven to accelerate and enhance research and development in the areas of additive manufacturing, biomanufacturing, materials design, waste processing, remote monitoring, and more. As the field of AI research rapidly evolves, it is expected to continue to drive innovation and success for DOE-EM, offering the potential to decrease cost, improve safety and security, reduce risk, and expedite mission completion. EM recently held a Technical Exchange Meeting at the Savannah River National Laboratory where experts from National Labs, industry, academia, and government exchanged ideas that explore the potential impacts that AI can have for the mission of DOE-EM and identify key focus areas that will help realize these positive impacts. As the first phase of the EM Nuclear Remediation, Restoration, and Renewal (NR3) Initiative which is part of the DOE Genesis Mission, EM has also commissioned the Network of National Laboratories for Environmental Management and Stewardship (NNLEMS) to develop an AI R&D Roadmap that will be used to inform EM’s budget request concerning AI integration, maturation and deployment initiatives. This panel will summarize the Technical Exchange discussions, including the current state of AI applications. The panel will also discuss the status of the AI R&D Roadmap, focusing on key research areas and critical applications where AI can provide substantial benefits (such as reducing costs, improving safety, and accelerating mission completion).
Presentations:
Monday, March 9, 1:45 pm – 3:45 pm
Location: 229B
Track 7 – Environmental Remediation (ER)
023 Panel: Overview, Challenges, and Applications of Artificial Intelligence (AI) in Environmental Remediation (R7.12)
Tuesday, March 10, 8:00 am – 9:45 am
Location: 226BC
Track 9 – Special Topics and Multi-Track Cross Cutting Technology Topics
051B Panel: Leveraging Artificial Intelligence to Advance DOE-EM’s Mission (R9.21)
Tuesday, March 10, 3:20 pm – 5 pm
Location: 230
Track 9 – Special Topics and Multi-Track Cross Cutting Technology Topics
117 Roundtable: Updates on DOE NNLEMS in Support of EM and LM Missions (R9.16)
Thursday, March 12, 8 am – 9:45 am
Location: 225AB
Track 9 – Special Topics and Multi-Track Cross Cutting Technology Topics
182 Panel: US Interagency Community of Practice in Risk and Performance Assessment (R9.03)