| Year | Agency | Role | Description | Amount (in USD) |
|---|---|---|---|---|
| 2020-2024 | DOE | co-PI | Advances in Machine Learning to Improve Scientific Discovery at Exascale and Beyond (ASCEND) | $1,200,000 |
| 2019-2023 | DOE | co-PI | Exalearn : Exascale Machine Learning Technologies | $3,000,000 |
| 2017-19 | DOE-LDRD | PI | Scalable Non-linear Unmixing with Physical Constraints for Scientific Data | $900,000 |
| 2017-19 | DOE-LDRD | co-PI | Accelerating end-to-end prediction of physical phenomena by interleaving analytics with multiscale simulations on Exascale architectures | $600,000 |
| 2016-19 | NSF | Ext Collab | High Performance Low Rank Approximation for Scalable Data Analytics | $900,000 |
| 2016-17 | DOE-LDRD | PI | Mini-Apps for Data-Intensive Discovery on Big Data Architectures | $460,000 |
| 2016-17 | DOE-SEED | PI | Scalable Dimensionality Reduction for Non-negative Higher Order Tensors | $190,000 |
| 2016 | NSF | Travel Grant for PPoPP | $1,500 |
KDD’2015, CIKM’2015, ICDM’2015, KDD’2016, ICML’2017, KDD’2018, KDD’2019, SC’2019, KDD’2020, SC’2021
TKDE, TPAMI, IEEE Signal Processing Letters, DAMI, JMLC, ESWA, TKDD, Entropy, Interfaces, KAIS, Information Sciences
