Dongjin Song
Assistant Professor/Computing

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Grants

13 Grants

Deep Federated Anomaly Detection for Heterogenous IoT Data
Sponsor: Sony
Authors: Dongjin Song
2021-03-15 - 2022-03-14
Physics Informed Deep Generative Model for Weather Nowcasting
Sponsor: Lenovo
Authors: Dongjin Song
2023-05-23 - 2023-09-01
Automatic Ensemble of Cluster Deep Neural Networks for Time Series Forecasting
Sponsor: Amazon Foundation
Authors: Dongjin Song
2021-03-01 - 2022-02-28
PIPP Phase I: Multiscale Data Collection, Modeling, and Intelligence Analysis for Pre-pandemic Detection and Prevention
Sponsor: NSF/National Science Foundation/University of California, San Diego
Authors: Dongjin Song
2022-04-01 - 2024-09-30
Preventing suicide by multimodal AI model to predict suicide, suicide attempts and behavior
Sponsor: American Foundation for Suicide Prevention/Pine Rest Christian Mental Health Services
Authors: Dongjin Song
2026-01-01 - 2028-12-31
CAREER: Towards Continual Learning on Evolving Graphs: from Memorization to Generalization
Sponsor: NSF/CISE/Directorate for Computer and Information Science and Engineering
Authors: Dongjin Song
Funding: $553,950
2024-04-01 - 2029-03-31
Predicting Extreme Weather-Induced Power Outages with Spatially-Aware Hybrid Graph Neural Networks
Sponsor: NSF/National Science Foundation/State University of New York SUNY, Albany (University at Albany)
Authors: Dongjin Song
2025-03-01 - 2025-12-31
NeTS: JUNO3: A Hierarchical Federated Learning Framework for Multimodal Anomaly Detection in Industrial IoT Networks
Sponsor: NSF/National Science Foundation
Authors: Dongjin Song
2022-07-01 - 2025-06-30
Collaborative Research: SCH: Interpretable Multimodal Spatial-Temporal Learning for Seizure Prediction and Localization with Domain Generalization
Sponsor: NSF/National Science Foundation
Authors: Dongjin Song
2025-06-01 - 2029-05-31
Continual Graph Representation Learning
Sponsor: UConn OVPR
Authors: Dongjin Song
Funding: $2,000
2022-01-01 - 2022-06-30
Privacy-preserving and Explainable Reinforcement Learning based Dynamic Treatment Recommendation for Sepsis
Sponsor: DHHS/NIH/National Institutes of Health
Authors: Dongjin Song
2024-04-01 - 2027-03-31
Empowering Seizure Prediction and Localization through Interpretable Multimodal and Continual Spatial-temporal Learning
Sponsor: NSF/National Science Foundation
Authors: Dongjin Song
2024-06-01 - 2028-05-31
Collaborative Research: AMPS: Physics-Informed Graph Representation Learning in Low-Observable Power Systems to Detect and Diagnose Anomalies
Sponsor: NSF/National Science Foundation
Authors: Dongjin Song
2023-10-01 - 2026-09-30