Funded Projects

The group is funded by the government departments NSF, DOE, industrial awards from JP Morgan, Meta, Sony, SES AI, Amazon,  industrial computing credits from Microsoft, and OpenAI.   

Projects currently supported by NSF & DOE (Till 2025/01 --- Total: $20.6M, My group part: $2.8M including $2.0M as the leading PI):

• [2023 - 2028] CAREER: Modern Machine Learning on Graphs: From Theory to Practice  (foundations for graph machine learning)

• [2024 - 2028] CIF-Medium: Privacy-preserving Machine Learning on Graphs  (trustworthy machine learning and large language models)

• [2025 - 2028] III: Small: Machine Learning on Graphs with Distribution Shifts (trustworthy machine learning and scientific foundation models)

• [2026 - 2028] ACED: Physics-informed GDL for Astrophysical Neutrino Reconstruction (AI for Science)

• [2021 - 2026] HDR Institute: Accelerated AI Algorithms for Data-Driven Discovery (AI for Science)

• [2024 - 2025] Artificial Intelligence for nuclear physics  (AI for Science)

Projects supported by Industry are around the following topics (Till 2024/10 --- Gift funds: $310k, Contract grant: $150k, Computing credits: $60k):

• Trustworthy machine learning on graphs and large language models

• AI for Science, currently on material science 

• AI for Engineering, currently on computing system design: