Machine Learning, Optimization and Data Lab (MODLab)
Director: Nasim Yahyasoltani
In MODLab, we conduct research on algorithms, analysis, and application of machine learning, optimization and statistical signal processing. With a focus on data science, network science, and intelligent systems, current research interests include the following:
- Online machine learning and time varying optimization for real-time control and decisions
- Graph signal processing/machine learning and network data analytics
- Robust machine learning
- Privacy-aware machine learning
- Stochastic and chance constrained optimization
- Federated learning and distributed optimization
Application domains include smart power and energy systems, wireless communications and sensor networks, social networks, and healthcare.