New York Scientific Data Summit 2025: Powering the Future of Science with Artificial Intelligence

Session

Posters

Sep 12, 2025, 10:30 AM

Global Classroom (Lower Level) (SUNY Global Center New York, NY 10022 USA)

40. Active learning Gaussian process classification for mapping multidimensional phase diagram

Niraj Aryal (Brookhaven National Laboratory)

9/12/25, 10:30 AM

49. AI-Enhanced Multi-modality Data Processing and Visualization for Scientific Computing and Robotics

Guoyu Lu (State University of New York at Binghamton)

9/12/25, 10:30 AM

41. Cohort-level protection and individualized inference in artificial intelligence-based monitoring applications

Vishal Subedi (University of Maryland Baltimore County)

9/12/25, 10:30 AM

39. Exploring Reinforcement Learning for Optimal Bunch Merge in the AGS

Yuan Gao (Brookhaven National Laboratory)

9/12/25, 10:30 AM

42. GRU-Based Learning for the Identification of Congestion Protocols in TCP Traffic

Paul Bergeron (Marist University)

9/12/25, 10:30 AM

48. Multi-Agent AI in the Real World

Saptarashmi Bandyopadhyay (City University of New York)

9/12/25, 10:30 AM

46. Physics-Informed Active Learning via Functional Simulated Annealing for Neural Operator

Albert Ding (Stony Brook University)

9/12/25, 10:30 AM

44. RelV: A Dynamic Relational Vector Database for Multi-Functional Context Window Optimization

Maximilian Spencer (Binghamton University)

9/12/25, 10:30 AM

47. Scientific Machine Learning for Pulsed Infrared Thermography Nondestructive Evaluation

Hannah Havel (Argonne National Laboratory)

9/12/25, 10:30 AM

43. Solving Integer Linear Programs via Decision Space Learning

Yadong Zhang (Vanderbilt University)

9/12/25, 10:30 AM

45. Velocity-Inferred Hamiltonian Networks: Symplectic Dynamics from Position-Only Observations

Claire Yu (Stony Brook University)

9/12/25, 10:30 AM