Area of research
Signal Processing · Statistical and Nonlinear Physics
Research interest
Research interests include Complex Network Analysis Techniques, Data Management and Algorithms, Advanced Graph Neural Networks, and Algorithms and Data Compression.
PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction
Accelerating Similarity Search for Elastic Measures: A Study and New Generalization of Lower Bounding Distances
Automatic Table Union Search with Tabular Representation Learning
Dynamic Graph-Based Anomaly Detection in the Electrical Grid
Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
Tensor Decomposition for Signal Processing and Machine Learning
Individual and Collective Graph Mining: Principles, Algorithms, and Applications
Quantifying Structural Patterns of Information Cascades
D <scp>elta</scp> C <scp>on</scp>
Mining Connection Pathways for Marked Nodes in Large Graphs
III: Medium: Collaborative Research: Collective Opinion Fraud Detection: Identifying and Integrating Cues from Language, Behavior, and Networks
TWC: Medium: Collaborative: Know Thy Enemy: Data Mining Meets Networks for Understanding Web-Based Malware Dissemination
BIGDATA: Mid-Scale: DA: Collaborative Research: Big Tensor Mining: Theory, Scalable Algorithms and Applications
CGV: Small: Making Sense out of Large Graphs - Bridging HCI with Data Mining
III: Small: Influence and Virus Propagation in Large Graphs - Theory and Algorithms
The Second Workshop on Large-Scale Data Mining: Theory and Applications
III-CXT-Large: Collaborative Research: Interactive and Intelligent searching of biological images by query and network navigation with learning capabilities.
III-COR: Collaborative Research: Mining Biomedical and Network Data Using Tensors
Collaborative Research: NETS-NBD: RIDR: Towards Robust Inter-Domain Routing: Measurements, Models, and Deployable Tools
Finding Patterns and Anomalies in Large Time-Evolving Graphs
ITR Collaborative Research: Indexing, Retrieval, and Use of Large Motion Databases
U.S.-Japan Joint Seminar: A Data Mining-Based Approach to Semantic Integration of Stream Data
Collaborative Research: NetMine: Finding Patterns in Network Data
Collaborative Research: Data Mining Meets I/O Performance Evaluation: Advanced Statistical Tools for Analyzing Bursty Traffic
CNPq: IMiMD-Indexing and Data Mining in Multimedia Databases
SGER: Fractals for Spatial and Temporal Databases
Fast Searching of Multimedia Objects by Content
Multimedia Information Retrieval Systems
Presidential Young Investigator Award
Signature File Methods for Text Data Bases (Computer and Information Science)