SPiNCOM
Signal Processing in Networking and Communications
Research
Research
Current Research Thrusts
Current Research Thrusts
Data Science and Big Data Analytics
Estimation, tracking, and feature extraction on a budget
Randomized and data-driven algorithms for classification and clustering
Learning and Inference over Features and Graphs
Crowdsourcing and ensemble Gaussian processes with scalability and robustness
Bayesian optimization, online, active, reinforcement, deep and meta-learning
AI-aided Wireless Communications
Spatio-temporal cartography for spectrum sensing
Meta-learning aided scheduling and resource allocation
Data-driven Power Networks
Machine learning for grid analytics and power management
Dynamic state estimation and power flow using deep neural networks