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Research Interests:
- Knowledge and Data
Management and AI Infrastructure Data Systems, Information
quality
- Domain-specific
Knowledge & Data systems
(material science, cyber-energy systems, smart
environment, social networks/Web, and cyber security)
Programs & Projects (Selected)
- Knowledge
& Data Management, AI Infrastructure, and Data Quality
- MDS3 - Data &
knowledge governance for Materials Science [Center of
Excellence]
- CASFER - Advancing
Sustainable and Distributed Fertilizer Production
- CRUX -
Crowd-sourced AI Resource Infrastructure for Scientific Data
- PV-stGNN
- Graph Learning for Photovoltaic and Power
Degradation Analysis
- ArgoPV
- Generative AI for Solar Energy Systems
- CORN
- Credible Knowledge Network (error detection, data
repairing, fact checking)
- Explainable IR and AI (XAI)
- 'Why?'' and ``What-if'' analysis for Cyber
Security
- Explainable Graph Learning
- ML Model Tracking & Provenance
- Network
Anomaly
& Association Analysis
- Association Analysis in Networks - models, detection,
and applications
- Spatiotemporal Correlation and Cascading Analysis
- Large-scale
Data
Processing:
- Approximate Query Processing
- Parallel and Distributed Query Processing
- Event analysis in data streams
Demos/Softwares
- GEDet: Multi-scenario Error detection in Graphs with a few
examples
- Kronos and Kronos++: Dynamic Knowledge-based Event Analysis
in Smart Power Grid
- Interactive data exploration with keywords (GExp), summaries
(GSum),
examples (NAVIGATE) and data constraints (GRIP)
- Event analysis: Detection, Localization and Tracking
(Percolator, BEAMS) in dynamic networks
- GRAPE: parallelization of sequential graph computation
Sponsors & Collaborators










Last Modified: 03/16/2025 19:14:31