Year | Member | Title | Program | Award Amount |
---|---|---|---|---|
2023-2024 | Di Wang (KAUST, PI) | Rigorous Approaches for Robust and Private Machine Learning | KAUST Opportunity Fund Program | $200,000 USD |
2023-2024 | Yating Wan (KAUST, PI), and Di Wang (KAUST, Co-PI) | Optoelectronic Hardware Acceleration for Variational Autoencoder | SDAIA-KAUST Center of Excellence in Data Science and AI | $53,326 USD |
2024-2025 | Di Wang (KAUST PI), and Lijie Hu (student) | Towards Faithful Transformers and Attention Mechanisms | SDAIA-KAUST Center of Excellence in Data Science and AI | $53,326 USD |
2022-2024 | Qiaoqiang Gan (KAUST, PI), Jasmeen Merzaban (KAUST), Di Wang (KAUST) | Nanophotonic Chips for Smart Colorimetric Histology | Smart Health Initiative | $300,000 USD |
2023-2025 | Qiaoqiang Gan (KAUST, PI), Jasmeen Merzaban (KAUST), Di Wang (KAUST) | Artificial-intelligent Nanophotonic Chips for Colorimetric Biosensing and Imaging | AI-Near Term Grand Challenge | $997,787 USD |
2023-2026 | Marc G. Genton (KAUST, PI), Georgiy Stenchikov (KAUST), Ying Sun (KAUST), Di Wang (KAUST), Paola Crippa (University of Notre Dame), Stefano Castruccio (University of Notre Dame), David Richter (University of Notre Dame) | Physics-Based and Space-Time Statistical Machine Learning Models for Sustainable Development in Saudi Arabia | CRG 2022 | $1,050,000 USD |
2022- 2023 | Di Wang (KAUST, PI) | Efficient Privacy-preserving Machine Learning Algorithms for Small Data | SDAIA-KAUST Center of Excellence in Data Science and AI | $53,230 USD |
2022-2025 | Di Wang (KAUST, PI), Xin Gao (KAUST), Jinhui Xu (State University of New York at Buffalo) | Modern Privacy-preserving Learning Algorithms for Biomedical Data | CRG 2021 | $1,050,000 USD |
2021-2022 | Di Wang (KAUST, PI), Xin Gao (KAUST) | Private and Fair Learning Algorithms for Healthcare | AI Initiative | $100,000 USD |
2021-2026 | Di Wang | KAUST Baseline Research Grant | KAUST | $1,600,000 USD |