Please join the NSF Center for Big Learning (CBL) in congratulating Dr. Dapeng Oliver Wu (UF), Dr. Alina Zare (UF), Dr. Paul Gader (UF), Dr. Yugyung Lee (UMKC), Dr. Reza Derakhshani (UMKC), Dr. Zhu Li (UMKC), Dr. Praveen Rao (UMKC), Dr. Thien Nguyen (UO), and Dr. Dejing Dou (UO). The Center’s Industrial Advisory Board have chosen their projects for funding in 2021-2022. CBL, an NSF IUCRC, is a research consortium focusing on large-scale deep learning (DL), intelligent platforms, and DL-enabled big data applications in a broad spectrum of disciplines. These projects will contribute greatly to CBLs mission and long-term goals. The selected year 4 projects are listed below.
| CBL Site | Project Principal Investigator(s) | Project Title |
|---|---|---|
| UF | Dr. Dapeng Wu | Explainable Commonsense Question Answering |
| UF | Dr. Dapeng Wu | DeepSLAM: Object Detection, Re-identification and Prediction with Implicit Mapping |
| UF | Dr. Alina Zare and Dr. Paul Gader | Adaptive Manifold Learning for Multisensor Translation and Fusion given Missing Data |
| UF | Dr. Dapeng Wu | Machine-Learning-Enabled Video Coding Strategy |
| UMKC | Dr. Yugyung Lee | FedBlain: Federated Learning for Privacy-Preserving using Blockchain |
| UMKC | Dr. Reza Derakhshani | Secure Inner Product for privacy preserving pattern matching |
| UMKC | Dr. Zhu Li | Deep Learning in Video Compression |
| UMKC | Dr. Zhu Li | Point Cloud Denoising |
| UMKC | Dr. Praveen Rao | Deep Learning for Energy Usage Prediction in Sustainable Building Design |
| UMKC | Dr. Zhu Li | Video De-Duplication |
| UO | Dr. Thien Nguyen | Semantic Deep Learning for Electronic Health Records |
| UO | Dr. Dejing Dou | Ontology-based Deep Learning with Explanation for Human Behavior Prediction |