## GRANTS ($2,061,050 shared in total, project total $10,007,590)

### Federal Grant

- (NSF) III: Small: Collaborative Research: Scalable Deep Bayesian Tensor Decomposition, PI, 10/01/2019 – 09/30/2023, $298,370. [link]
- (DoD-MURI) Learning and Meta-Learning of Partial Differential Equations via Physics-Informed Neural Networks: Theory, Algorithms, and Applications, 10/01/2020–09/30/2025, Primary University is Brown, Subaward Universities include Stanford, Caltech, and Utah, Total Amount: $7,812,733, Utah Amount: $1,199,300, Utah PI: Mike Kirby, Co-I: Shandian Zhe, Shandian Zhe’s allocation is $599,650.
- (NSF) CAREER: Embedding High-Order Interaction Events: Models, Algorithms, and Applications, PI, 06/01/2021 – 05/31/2026, $549,320. [link]
- (AFRL) Development of Best Practices Guide for Use of AI/ML In Engineering Domains, 03/03/22-02/29/24, Total Amount: $250,000, PI: Mike Kirby, Co-PI: Shandian Zhe, Jacob Hochhalter, Shandian Zhe’s allocation is $83,000.
- (ARO) AI/ML-MADE: AI/ML Augmented Materials And Device Exploration, 09/2022-09/2024 (base), 09/2024-09/2027 (optional), Primary University is Boston, Total Amount: $339,000 (base), $525,000$ (option), PI: Mike Kirby, Co-PI: Shandian Zhe, Akil Narayan, Shandian Zhe’s allocation is $113,000.
- (NSF) Elements: A Convergent Physics-based and Data-driven Computing Platform for Building Modeling, Total Amount: $584,094.00, PI: Jianli Chen, Co-PI: Shandian Zhe, Shuai Li, 09/01/2023 - 08/31/2026. [Link] Shandian Zhe's allocation is $243,637.00

### Research Contract

- (ARUP Laboratories) Using Artificial Intelligence to Predict Hemorrhage and Blood Transfusion Needs in Cardiac Surgery, 07/15/2019 – 12/31/2020, PI, Amount: $64,073.
- (Margolis Foundation) Developing Novel Algorithms to Optimize Patient Access to Critical Surgical Services, 01/01/2024 - 12/31/2024, PI, Amount: $85,000.

### Research Gift

- (Kuai Inc, unrestricted), Learning Embeddings from Temporal Higher-Order Graphs, PI, Amount: $25,000.