Projects
The research we do in our lab can be broadly categorized into seven groups:
- Multi-target Tracking and Radio-frequency Tomography
- Gossip and Consensus Algorithms
- Particle Filtering
- Machine Learning
- Statistical Signal Processing on Graphs
- Social Networks Analysis
- Social Media Analysis
For a comprehensive list of current and previous projects, please choose the appropriate tab above.
- Radio frequency (RF) tomography for multi-target tracking
- Convoy Detection in Networks of Short-Range Sensors
- Neural-network Modelling of Bayesian Learning and Inference
- Clustered Sparse Associative Memories
- Anomaly Detection using Proximity Graph and PageRank
- Distributed Tracking Using Selective Gossip
- Multiscale Gossip for Fast Averaging
- Weblog Analysis for Predicting Correlations in Stock Price Evolutions
- Green Analysis for Content-Centric Networking (CCN)
- Content Centric Networking
- Flow-based Bandwidth Estimation in Non-visible Links
- Cramér-Rao bound for Unmanned Aerial Vehicle (UAV)
- Clustering For Dynamic Networks
- Graph Spectral Compressed Sensing
- Daum-Huang exact flow particle filter
- Graph Clustering
- ChoPS