Conference Talks, Posters & Proceedings

Opportunities and Challenges for AI-Enhanced Decision Making in Nuclear Proliferation Detection
Ms. Angela M. Sheffield, Eisenhower School, National Defense University, National Nuclear Security Administration, Department of Energy
Presentation | Video Recording

Large-Scale, Data-Driven Methods and Applications Developed as Part of the Exascale Computing Project
Dr. Lori Diachin, Deputy Director, Exascale Computing Project, Lawrence Livermore National Laboratory
Presentation | Video Recording

Applying HPC and AI/ML Capabilities for Stockpile Stewardship Mission
Ms. Thuc Hoang, National Nuclear Security Administration, Department of Energy
Presentation | Video Recording

Decision Support for Wicked Problems
Dr. Robert Lempert, Principal Researcher, RAND Corporation, and Director of the Frederick S. Pardee Center for Longer Range Global Policy and the Future Human Condition
Presentation | Video Recording

Behaviors of People and Systems: Decision Problems and Data Driven Analysis
Dr. Ramayya Krishnan, W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Heinz College and the Department of Engineering and Public Policy, Carnegie Mellon University
Presentation

Conflict, Coordination & Control: Do We Understand the Actual Rules Used to Balance Flooding, Energy, and Agricultural Tradeoffs in River Basins?
Dr. Patrick Reed, Joseph C. Ford Professor of Engineering, School of Civil and Environmental Engineering, Cornell University
Presentation | Video Recording

Anomaly Detection for Identifying Fire Hazards in Power Distribution Systems
Dr. Jhi-Young Joo, Distribution Automation Lead Engineer, Lawrence Livermore National Laboratory
Video Recording

Panel Discussion: Decision Making in Complex Systems - Challenges and Opportunities for Applied Math, HPC, and Machine Learning
Moderator: Dr. Francis J. Alexander, Brookhaven National Laboratory
Video Recording

Modeling sea-level rise and its uncertainties under climate change
Dr. Minghua Zhang, Distinguished Professor of Atmospheric Sciences , State University of New York at Stony Brook
Presentation | Video Recording

Data Assimilation and Its Connections with Uncertainty Quantification, Forecast and Machine Learning
Dr. Nan Chen, Assistant Professor, Department of Mathematics, University of Wisconsin-Madison
Presentation | Video Recording

Tropical cyclone risk modeling
Dr. Michael Tippett, Associate Professor, Department of Applied Physics and Applied Mathematics, Columbia University
Presentation | Video Recording

Microbial controls of climate-smart soil health management practices
Dr. Arnab Bhowmik, Assistant Professor of Soil Science and Soil Microbiology, Department of Natural Resources and Environmental Design, College of Agriculture and Environmental Sciences, North Carolina A&T State University
Presentation | Video Recording

From model-based to data-driven remote sensing in environmental management
Dr. Leila Hashemi-Beni, Assistant Professor of Geomatics and the Director of Geospatial Science and Remote Sensing Laboratory, Department of Built Environment at College of Science and Technology, North Carolina A&T State University
Presentation | Video Recording

Planning for Spatially Correlated Failures in Coupled Natural Gas and Power Transmission via Stochastic Optimization
Dr. Seth Blumsack, Professor of Energy Policy and Economics, and Director, Center for Energy Law and Policy, Pennsylvania State University
Video Recording

Panel Discussion: Decision Making in Complex Systems - Challenges and Opportunities for Applied Math, HPC, and Machine Learning
Moderator: Dr. Nathan Urban, Brookhaven National Laboratory
Video Recording

Physics-Informed Deep Learning for Traffic State Estimation and Fundamental Diagram Discovery
Dr. Xuan (Sharon) Di, Associate Professor, Department of Civil Engineering and Engineering Mechanics, Smart Cities Center, Data Science Institute, Columbia University in the City of New York
Presentation | Video Recording

Machine Learning and Game Theory for Societal Challenges
Dr. Fei Fang, Assistant Professor, Institute for Software Research, Carnegie Mellon University
Video Recording

Deep Generative Surrogate Modeling and Inversion in Subsurface Flows
Prof. Nicholas Zabaras, Scientific Computing and Artificial Intelligence (SCAI) Laboratory, University of Notre Dame
Video Recording

Propagation of Uncertainty from Data to Inference for Large-Scale Inverse Problems with Application to Ice Sheet Flow
Dr. Noemi Petra, Associate Professor of Applied Mathematics, School of Natural Sciences, University of California, Merced
Presentation | Video Recording

A probabilistic graphical model foundation to enable predictive digital twins at scale
Dr. Michael Kapteyn, Postdoctoral Fellow, Oden Institute for Computational Engineering and Sciences
Presentation | Video Recording

Tracking and Forecasting Epidemics
Dr. Roni Rosenfeld, Professor and Head, Machine Learning Department, School of Computer Science, Carnegie Mellon University
Video Recording

Panel Discussion: Decision Making in Complex Systems - Challenges and Opportunities for Applied Math, HPC, and Machine Learning
Moderator: Dr. Qiang Du, Columbia University
Video Recording

A Perspective on Autonomous Experimentation and Discovery
Dr. Marcus Noack, Applied Mathematics, Research Scientist, Lawrence Berkeley National Laboratory
Presentation | Video Recording

Co-Design Methodologies for Edge Computing ASICs in Scientific Research Environments
Dr. Sandeep Miryala, Instrumentation Division, Brookhaven National Laboratory
Presentation | Video Recording

ML/AI applications in astronomy
Dr. Anze Slosar, Group Leader for Cosmology & Astrophysics Group, Brookhaven National Laboratory
Video Recording

Nuclear data evaluation with Bayesian networks
Dr. Georg Schnabel, Department of Nuclear Sciences and Applications, International Atomic Energy Agency
Presentation | Video Recording

Automating Particle Accelerator Operations with Machine Learning
Dr. Jonathan Edelen, Senior Research Scientist, Group Leader, RadiaSoft
Presentation | Video Recording

Remote and on-the-fly: artificial intelligence driven science in laboratories and central facilities
Dr. Phillip Maffetone, Assistant Computational Scientist, Data Science and Systems Integration Program, National Synchrotron Light Source II, Brookhaven National Laboratory
Presentation | Video Recording

Panel Discussion: Challenges and Opportunities in Autonomous Scientific Facilities
Moderator: Dr. Kevin Yager, Brookhaven National Laboratory
Video Recording

Full list of posters available from the Agenda

P11: Using Machine Learning for spin-group reclassification of neutron resonances
Presenter: G.P.A. Nobre, National Nuclear Data Center, Brookhaven National Laboratory
Presentation | Video Recording

P13: Deep neural network methods for partial differential equations
Presenter: Jiawei Sun, Ohio State University
Presentation | Video Recording

P16: Applying Bayesian Optimization to Achieve Optimum Cooling at the Low Energy RHIC Electron Cooling System
Presenter: Weijian Lin, Cornell Laboratory for Accelerator Based Sciences and Education, Cornell University
Presentation | Video Recording

P18: Performance Optimization of High-Throughput Virtual Screening Pipelines
Presenter: Hyun-Myung Woo, Department of Electrical and Computer Engineering, Texas A&M University
Presentation | Video Recording