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10:30
Multi-Agent AI in the Real World
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Saptarashmi Bandyopadhyay
(City University of New York)
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10:30
AI-Enhanced Multi-modality Data Processing and Visualization for Scientific Computing and Robotics
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Guoyu Lu
(State University of New York at Binghamton)
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10:30
Exploring Reinforcement Learning for Optimal Bunch Merge in the AGS
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Yuan Gao
(Brookhaven National Laboratory)
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10:30
Active learning Gaussian process classification for mapping multidimensional phase diagram
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Niraj Aryal
(Brookhaven National Laboratory)
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10:30
Cohort-level protection and individualized inference in artificial intelligence-based monitoring applications
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Vishal Subedi
(University of Maryland Baltimore County)
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10:30
Physics-Informed Active Learning via Functional Simulated Annealing for Neural Operator
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Albert Ding
(Stony Brook University)
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10:30
Scientific Machine Learning for Pulsed Infrared Thermography Nondestructive Evaluation
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Hannah Havel
(Argonne National Laboratory)
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10:30
RelV: A Dynamic Relational Vector Database for Multi-Functional Context Window Optimization
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Maximilian Spencer
(Binghamton University)
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10:30
Velocity-Inferred Hamiltonian Networks: Symplectic Dynamics from Position-Only Observations
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Claire Yu
(Stony Brook University)
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10:30
GRU-Based Learning for the Identification of Congestion Protocols in TCP Traffic
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Paul Bergeron
(Marist University)
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10:30
Solving Integer Linear Programs via Decision Space Learning
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Yadong Zhang
(Vanderbilt University)